Trowel - Programming Language for Journalist
A web-scraping programming language developed specifically for journalists.
https://github.com/puconghan/Trowel-Progamming-Language-for-Journalists
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Trowel - Programming Language for Journalist
A web-scraping programming language developed specifically for journalists.
https://github.com/puconghan/Trowel-Progamming-Language-for-Journalists

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The New Wave in Storytelling: User-Enhanced Web Novel Platforms in China
Pucong Han
Master Project at Columbia Journalism School
Pulitzer Hall, 2950 Broadway New York, NY 10027
This story was advised by Professor Emily Bell, Director of the Tow Center for Digital Journalism, and Professor Patty Lowy at Columbia Journalism School
http://cuj13.tysonevans.com/students/pucong/final%20project/New%20Waive%20in%20Storytelling/
“A game, until the last moment, should not be given up,” blogged Zhong Wang, a professional chess player who participated in numerous championships from the age of 15. He blogged on NetEast Blog that he benefited from this experience. “Every game provides a learning opportunity, even if you lose. You should always prepare to comeback.”
Instead of continuing his career in chess, Wang came back to his followers as a web novelist under the pen name Meng Ru Shen Ji (Shenji). In 2012, Shenji became one of the most successful of a new type of ‘contract web novelists’ who write stories a paying facbase, ranked number six onthe 2012 Annual Chinese Richest Web Writers List. He earned in excess of 10 million Yuan (US$ 1.612 million) in royalties in 2012.
Picture: The 2012 Annual Chinese Richest Web Writers List published by Hua Xi News and editor Huaiyao Wu
A number of Shenji’s earliest web novels, such as Buddha, This Is the Road (Fo Dao), have been promoted onAmazon.uk and published for the Asian market overseas. His most recent workKing of Wisdom (Sheng Wang) has generated more than 44.9 million page views for a web novel start up company.
Picture: The story King of Wisdom (Sheng Wang) on the website.
Long-form narrative stories in China have shifted from paper to digital in a way that is different from the shift in the United States. As web authors have become millionaires, newborn tech companies in China have started to promote serially published stories on digital storytelling platforms.
Groups of young fiction writers and college graduates, whose average age is 28, are working in the office of one of the leading startup web novel firms in Beijing. The web start-up is happy to grant access to its offices and data, on the grounds that it remains anonymous, as the business is highly commercially sensitive.
Two experienced web editors, who understand the tastes of web audiences, lead an editorial team with about twenty-three fiction writers. Managing web novels and engaging with audiences are only two of their responsibilities. This team of fiction writers also works on finding and convincing popular independent web novelists as well as writers at other online publishing firms to sign on with them and to become contract writers. The millionaire writer Shenji is one of their successful contract web novelists.
Born in 1984, Shenji has worked in this new web novel industry for more than seven years. This pen name, Meng Ru Shen Ji, is actually the title of the earliest chess tactics book in the Ming dynasty.
In Shenji’s world, writing is similar to playing chess. An unproductive moment in writing is like a move in chess, which leaves you vulnerable. “To write a web novel, readers are your rivals on a chessboard,” blogged Shenji. “The novel will be rich and meaningful if both sides do not quit playing.” Shenji is still “playing,” still serializing his web novel King of Wisdom, which generated over 300,000 page views per day before July 2012.
Sheji did not respond my messages and comment on the declining in page views after July, 2012. According to the human resources director of the web novel company who declined to provide her name, it was difficult to communicate with Shenji in person, even for employees of the company.
However, Shenji engages with his audience on various social networks, such asWeibo andSina Blog. As usual, Shenji sent out a Weibo feed to announce the completion of Chapter 27 of King of Wisdom on Feb 20, 2013 before his followers had woken up.
“It was Feb 20, 2006 when I first started King of Wisdom,” tweeted Shenji. “I have been updating this novel for seven years.” Shenji is proud about his work. He is ambitious and trusts himself in developing new plots.
Shenji benefited from Classical Chinese legendary novels, such as Journey to the West, The Investiture of the Gods and The Sorcerers' Revolt. Modern legendary novels, particularly Chronicles of the Mountain Shu Swordsmen (Shu Shan Jian Xia Zhuan), a martial arts novel in the period of the Republic of China, inspired Shenji to address the complexity of human emotions in his own story.
“Shenji understands readers. He has the ability to anticipate their needs and wants,” blogged Zhifeng Wen, a follower of Shenji. “His novels allow readers to witness the complexity of the world with good and evil.”
“I have been very grateful to have a group of followers supporting me through all the ups and downs,” blogged Shenji. “They gave me motivation and confidence. Because of them, I am not alone.”
Shenji is representative of web novelists who take initiative to build contemporary plots using historical characters and traditional values. Working with the editorial team since 2010, he has published six web novels.
Another representative millionaire novelist of the start-up company is Hui Wang, who writes under the pen name Innocence (Wuzui), ranked number fifteen on the 2012 Annual Chinese Richest Web Writers List. He can expect in excess of 4 million Yuan (US$ 0.645 million) in royalties in 2012.
“This web writer list is fairly accurate,” said Wuzui. “I am familiar with at least 10 writers on the list. It is a result of an investigation by people in the business.” According to Wuzui, although the list does not include women writers.
Wuzui’s novel are built around martial arts and chivalry. Martial art masters, in Wuzui’s world, are bound by a code of chivalry that requires them to fight for justice with their sword and gifts.
Wuzui started to read novels written by Jin Yong, one of the well-known modern Chinese-language martial arts and chivalric novelist, in fifth grade. He was inspired by figures in Jin Yong’s novels.
After graduating from the Applied Physics and Thermal Engineering Department of Central South University, Wuzui worked in a thermal power plant and designed power generation boilers for eight years. “Work experiences for a writer, in fact, is a good thing,” said Wuzui. “Writers who have life experiences can create plots with more insights.”
In 2004, Wuzui started to create web novels. As a part time web writer, Wuzui went to his office every day around six thirty in the morning. “Working and writing don’t conflict with each other.” Wuzui updated his web novels after work. He said that he could not go to bed until midnight. “Such a life style, working in the morning and writing at night, lasted three to four years,” said Wuzui. “I was young and motivated at that time.”
“Writing novels is time consuming. I did not have time to read, travel, and find resources when working in the power plant.” Wuzui became a full time web novel writer in 2009. He believed that the web novel industry, at that time, had started to develop a sustainable and healthier business model that allowed web writers to have fixed incomes. “When I resigned from the thermal power plant, I had been promoted to be the deputy director of a branch,” said Wuzui. “I am a realistic person. I do not take risks in my life.”
“People should make career choices or adjustments before having a certain amount of material accumulation,” said Wuzui. “Before I became a full time web writer, I made about 300,000 Yuan (US$ 48,387) in annual income from both web novels and the thermal power plant.” As a boiler deputy engineer and operator, he made about 80,000 to 100,000 Yuan. It was a decent amount of money in the city of Wuxi at that time.
“When I made my career transition, my family was behind me,” said Wuzui. “My wife is a full-time housewife who takes good care of my life. Because of them, I have more time to write novels on the web.” As a full time web novelist, Wuzui wakes up around eight or nine o’clock in the morning and works on personal business. He works in the afternoon after lunch until eleven o'clock at night on his writing.
Working with the editorial team since 2010, Wuzui has published three web novels and generated about 117 million page views for the startup company.
Pictures: Stories published on the site by Wuzui
His ongoing serially published web novel Immortal and the Devil (Xian Mo Bian) generated more than 100,000 page views per day before October 2012.
The human resource director and the editorial team in the startup company are proud to have Wuzui as a contracted writer. They introduced Wuzui as Da Shen, the master of web novels.
This editorial team is only a small portion of the startup firm. On the other side of the office, groups of young college graduates led by two experienced computer science graduates, one from Tsinghua University, and the other from Beijing University of Posts and Telecommunications, sit close to each other implementing and testing new web tools.
A room with rows and rows of machines is about 10 feet away from their desks. The two project managers frequently ask about the server operations and testing results. Two young employees regularly walk into and out of the room with their laptops and notebooks. Through the glass doors in the back of the room, people can see numerous red and green lights shining inside the room.
This group of young scientists behind the Web operation create thousands of lines of code everyday. If you spend time with them, you will understand why women in computer science are encouraged in college. There is only one female developer on the team. Most female employees of the firm are on the editorial team, working at the other side of the office.
These groups of young employees come from different provinces and regions of China. The time I visited the office was near the Chinese Lunar New Year. Although people in the office had started to prepare for their trips back to their hometowns, they never lost focus on their new emerging storytelling empire.
“The Chinese web novel industry is a bit like the Japanese anime and manga industry,” said Xiaosu Su, Vice Chief Editor at one of the newborn digital storytelling firms. “This industry still needs time to mature.”
Su witnessed the development of this new industry. He spent lot of time building and managing web forums for active writers before web sharing became popular.
Su started his career in web novel publishing after graduating from Minzu University of China (Central University for Nationalities) in 1999. He was on the management team of the first Chinese literature-sharing platform Qidian. According to Su, a team of college students with interests in fiction writing led the first web novel startup.
This startup was a small platform without profitable business models. The only thing that kept this group of students in the startup with only 40,000 Yuan (US$ 6,459) in funding was their interest in storytelling.
Although the group suffered difficulties, they intended to spend their lives growing and maintaining the platform. That was until the site started to generate a consistent amount of page views, when the group of students agreed to sell the platform to an interested company.
AfterShanda Interactive Entertainment (NASDAQ:SNDA) e-book platform subsidiary Shanda Cloudary acquired it in 2004, Qidian became the first digital publishing platform in China. After he left Qidian in 2006, Su led a number of web novel startups in Shanghai and worked in the 17K Novel Network and ChineseAll.com, a leading digital publishing platform developed by Tsinghua University, for three years. He was one of the most experienced editors in the web novel publishing industry.
“Although there are barriers in this industry, our progress has been very fast this decade,” said Su. “The environment for the industry has become much better now.” One reason for Su’s positive attitude about the industry is that he believes that web literature, particularly web novels, delivers richer emotional content compared to the anime and manga industry.
Although the web novel has become one of the most profitable digital products on the Web, it might be difficult to build new publishing startups. Su said that web novel startups are having a much harder time breaking in since existing platforms have developed profitable business models with a large number of users. “Spending only a few million Yuan to build a web novel startup is just a drop in the bucket nowadays,” said Su.
Web novel publishing platforms in China carry user-enhanced novels that allow audiences to read with pleasure on various platforms. “Mobile users who are not at work need entertainment,” said Su. “Web novels enable fluent reading and provide readers with such pleasures.”
Picture: Mobile version web novel platforms.
Audience members might initially follow one or more stories using their mobile devices. Many such users become dedicated followers on the platform, frequently recommending plots or even producing new chapters for stories. The two millionaire web novelists Shenji and Wuzui used to be such readers.
Before Shenji started to write his first and the most influential novel Buddha, This Is the Road, he was a dedicated reader on the web for years. Shenji engaged with web literature and wrote comments to web authors, until readers started to question the value of his comments. This is when Shenji decided to prove himself by writing his own novel.
“Everything I wrote was for entertainment,” blogged Shenji. “My works are meaningful as long as they make my followers not feel lonely when they are alone.”
“Everyday I write a little,” further explained Shenji. “Writing is not simple fun in my heart. It is a type of responsibility to my readers. This responsibility sometime makes me feel heavy.”
Wuzui became a dedicated reader on the web in his sophomore year in college. “I headed into web novels in 1998,” said Wuzui. His first web novel, Death and the Immortal (Wu Shen Bu Mie), was about martial arts and chivalry. Although he stopped updating the novel at the end, Wuzui gained experience and became familiar with audiences on the web.
The speed of the web novel growth in China has been beyond people’s expectations. An increasing number of new authors publish their first stories on the platform. “Web novel publishing is limitless,” said Su. “It is hard to believe that one of the founders of Qidian was the director of the Guangdong Yangjiang Vehicle Administration.” People from any field can become web novelists if they have an interest in storytelling.
Dedicated authors on such platforms produce content targeted at particular audiences and generate profits that surprise traditional authors and publishers. User-enhanced web novels have become widespread digital products in Asian society.
Su and his colleagues believe that the United States doesn’t have such web products yet. Although serially published user-enhanced web novels have succeed in the Chinese digital publishing market, it is hard to convince traditional publishers and researchers that similar web products can be successful in the United States.
The Challenge for Traditional Publishers
Although in the past print circulations and advertising accounted for publishers’ profits, these traditional publishing business models have been challenged by distribution of digital copies.
According to BookStats, an annual report produced by the Association of American Publishers and the Book Industry Study Group, the U.S. market for books dropped from $27.9 billion to $27.2 billion from 2010 to 2011, a decline of 2.5%. Total revenue of the print book industry remained flat, going from $13.9 billion to $14 billion from 2010 to 2011. The traditional publishing business model in the United States is losing its profitability.
Digital books more than doubled in net sales, generating $2.1 billion, according to the BookStats annual report. This rise in digital sales offset the decline in print sales. Traditional publishers in the United States have started to put the emphasis on digital publishing, while digital self-publishing is becoming a new trend. It is difficult to predict whether these publishers will be able to find a new sustainable business model.
In contrast with the traditional publishing industry in the United States, the traditional publishing industry in China is still growing. According to the China Statistical Data Collection of Press and Publication, the total number of published titles in Mainland China increased from 328,387 to 369,523 from 2010 to 2011. The General Administration of Press and Publication of the Peoples' Republic of China compiles this statistic every year.
Picture: The site of The General Administration of Press and Publication of the Peoples' Republic of China.
Despite the growing number in print products, revenue of traditional publishers in China decreased from 8.0168 billion Yuan (US$ 1.2725 billion) to 7.83728 billion Yuan (US$ 1.244 billion) from 2010 to 2011. As a result, a number of traditional publishers have left the market. The statistics shows that the number of publishers in China declined from 8,484 to 8,309 from 2010 to 2011.
Traditional publishers in China have not shifted to digital publishing. According to the statistics in 2012, the revenue from digital products accounted for less than 0.1% of the revenue from all publishing products.
The development of digital publishing in China is slower than in the United States. In 2011, revenues of digital publishing were 137.79 billion Yuan (US$ 22.24 billion). Although this was a 31% increase compared to the revenues in 2010, revenue from digital publishing was only 9.5% of the revenue for the entire publishing industry. Chinese digital publishing industry, particularly web novel publishing industry, is in its early stage of development.
Property Rights Protections and Regulations of Web Novels
“There aren't very good laws and regulations in place to govern digital publishing [in China],” commented Eric Abrahamsen, founder of Paper Republic. Working as a translator and editor in China, Abrahamsen has developed insights into the digital publishing industry and web novel industry. “‘The self-publishing trend that’s taking off in the US, for instance, isn’t really happening here.”
“Ideally, readers should pay to subscribe to paid content or VIP content on the web, but, in China, piracy sites offer free VIP content,” said Su. “Paid stories with large followers usually spread on piracy sites. The major web publishing sites suffered difficulties in 2009 and 2010.” The digital publishing industry has hit a wall. One of the major reasons for this is that web users, ignoring intellectual property laws, access stories on pirate sites.
The term “shanzhai,” which refers to Chinese imitation and pirated brands and goods, has been applied to the Chinese web novel industry to label novels on pirate sites or content copied from other works. The startup web novel company published an announcement in 2009 accusing Qidian of publishing a “shanzhai” web novel, Luo Fu. The millionaire web novelist Wuzui later filed a copyright infringement lawsuit against Shanghai Xuan Ting Entertainment Information Technology Co. Ltd (Shanghai Xuan Ting), the Internet Operation Provider of Qidian under Shanda Interactive Entertainment (NASDAQ:SNDA) e-book platform subsidiary Shanda Cloudary (Shanghai Xuan Ting)..
According to the Civil Mediation Agreement from Shanghai Pudong New Area People’s Court, Shanghai Xuan Ting agreed to stop promoting the story on Jan 21, 2011. Shanghai Xuan Ting paid 10,000 Yuan (US$ 1,612) to Wuzui as compensatory recovery.
The lawsuit against Qidian was a representative case in web novel property right protection. “Web content property right protection in China is starting from scratch,” said Wuzui. “Writers belong to the most vulnerable groups, those who lack solutions to fight piracy.”
“Web content property right protection must rely on the nation,” said Wuzui. “If the state does not have clear and strict regulations, as well as a tracing system, authors essentially can do nothing about piracy.”
The Vice Chairman of the Chinese Writers Association, Zhang Kangkang, submitted a proposal to the National Committee of the Chinese People's Political Consultative Conference in 2010 and suggested establishing a complete, clear and strict standard for investigating network infringement. Zhang also proposed reducing the cost of suing for network infringement.
In fact, user-enhanced web novels in China are the outcome of weak regulations in digital publishing and property right protection. Such digital products are distributed on the Internet with and without the ISBN. “There’s a real stigma still attached to writing for [Chinese web novel sites],” commented Abrahamsen. Digital publishing is still in its infancy; it is something that both readers and writers don't have a very clear concept of.
New start-up firms have been competing for well-known novelists on the web. The millionaire web novelist Shenji was a contract writer for Qidian before joining a new startup web novel publishing firm in 2010, where he continued updating the story Immortal (Yong Sheng) that he had begun at Qidian.
Qidian filed a copyright infringement lawsuit against Shenji accusing him of contract infringement. Shanghai No.1 Intermediate People’s Court made the final judgment in 2012.
According to the press release of the court, Shanghai Xuan Ting owned the serialized web novel Immortal. Shenji paid 0.6 million Yuan (US$96,000) to the company as compensatory recovery.
The final chapter of the serialized web novel Immortal has been published on June 30, 2012. This web novel still remained on the site of the new startup firm. According to Jing Wang, the director of Public Relations of Shanda Cloudary, Shenji has signed a confirmation after the final judgment and accepted that the serialized web novel Immortal belongs to Qidian.
The editorial team of the new start-up firm made the right choice in 2010 to convince Shenji to sign on with them as a contract writer. Working with the editorial team, Shenji generated 313.228 million page views for the firm by updating one free novel, Immortal, and one paid novel, King of Wisdom. Shenji became a millionaire novelist in about two years.
The competition for well-known novelists among these web novel start-ups has never stopped. On March 5, 2013, rumors about a manager and a group of writers leaving Qidian spread on the Chinese Weibo. The director of Public Relations of Shanda Cloudary, Jing Wang, commented that this rumor was incorrect. “Since it is a rumor, it will not hurt our stock price on NASDAQ,” said Wang.
However, Wuzui said that it has been confirmed that managers and editors of Qidian will leave the company. He explained that Qidian monopolizes the web novel industry without a clear strategy to promote each story. “Web novels purchased by Qidian have more promotional opportunities compared with web novels purchased by others on its platform,” said Wuzui. “Instead of building a copyright trading platform, Qidian built a platform, which restricts the movement of authors and works.”
The human resource director of one web novel company, who declined to provide her name, also confirmed that the rumor is true. Her company suffered similar problems. According to her, influential web novel companies, such as Tencent Web Novel, a subsidiary of Tencent Inc., have the ability to give better offers and convince popular web novelists to sign on with them.
Two days after my investigation, Xiaoqiang Hou, the CEO of Qidian, published a letter to all employees and confirmed that some employees have resigned from Qidian. “The board has approved their resignments,” said Hou. This message quickly spreaded on social networks.
Profitability of User-enhanced Web Novels
The web novel industry has become an unchartered territory within the Chinese publishing industry. These web products have generated a large number of page views and great profits.
These fledgling web novel platforms have found a place in the Asian media market to serially publish bricks-and-mortar content to the Internet. These companies have identified a mechanism where traditional publishing companies cannot comfortably compete in Asia.
Most of these web novel publishing platforms bring in virtual currency. Users on such platforms might be awarded virtual currency once they engage in a story by suggesting a plot or submitting a descriptive comment. Some publishing platforms collaborate with other companies and charity organizations to come up with special opportunities for web users to win virtual currency by accomplishing some task, such as donating money to the children’s charity fund, participating survey or experiencing new released webpage games.
Web novels give users options to subscribe using such virtual currency. Since there is a limit for total awarded virtual currency, dedicated users who follow certain stories and are no longer willing to wait for free virtual currency usually choose to purchase virtual currency through online transactions.
Authors who receive virtual currency can exchange this for actual money. One Chinese Yuan (US$ 0.1612) on his web novel publishing platform is equal to hundred units of virtual currency. Such virtual currency treats user-enhanced content as digital goods and motivates audience members to engage with stories.
It is difficult for journalists to get access to the server data of these Asian web novel publishing companies. These publishing platforms do not want their competitors to know about their businesses. Some of these web novel platforms are even owned by publicly traded companies. As a result, these companies are carefully managing information disclosed to their shareholders.
In order to have access to the server data and protect my sources, I agreed to anonymously publish my research results.The following interactive graph includes selected paid web novels wrote by millionaire web authors.
Although page views go up quickly in the first few months, paid web novels do not generate a large amount of virtual currency. Audiences usually spend their virtual currency on exclusive content of popular stories. Most user-enhanced narrative novels are free on such platforms. Only newly published chapters of those novels with a large number of followers, require subscriptions. This visualization shows that the virtual currency subscription business model is lagging on pricing web novels.
In order to offset the impact of pirate sites, these web novel platforms shift to the ‘Customer Fishing’ business model, similar to ‘bait and switch,’ or ‘freemium’ model, offering users free content and charging them later. Most existing user-enhanced narrative stories are free on this platform. Only newly published content of those novels with a large number of followers, require subscriptions.
However, this is not the only business model for such platforms. According to one of the chief managers of a web novel platform, who declined to provide his name, authors can place a donation label on ongoing stories and pitched stories. Active followers can donate money to support these writers using online payment services. “It is amazing that some audiences actually pay the authors they love to continue their stories,” said the manager.
With more users and loyal members, the platforms can bring in advertising. This combination of business models allows web novel publishing platforms to generate profit from various sources.
According to Su, the revenue of Qidian in 2011 was about 1.8 billion Yuan (US$ 0.2903 billion). This number increased to 2.5 billion Yuan (US$ 0.4032 billion) in 2012. In recent years, some famous Chinese web writers have made over 1 million Yuan (US$ 161,200) in a month.
Every word produced by a famous web writer is worth in the range of one Yuan (US$ 0.1612) to two Yuan (US$ 0.3333). The productivity of web writers is ten times that of traditional writers. The web novel market has attracted the attention of both traditional writers and the official government.
The Chinese Writers Association has been hosting the web literatures discussion panel since 2011. As we can see from the website of China Writers Association, the most recent web literatures discussion panel was hosted on 28 June, 2012.
Picture: The web literatures discussion panel on the website of China Writers Association
“There are 13 web novel publishing companies currently on the discussion panel,” said Su. “The purpose of this panel is to build a bridge between traditional writers and web authors.” The startup web novel company that I interviewed was invited to the 2012 discussion panel.
Changing of Storytelling and Authorship
In producing long-form narrative journalism and novels, authors are no longer the only ones contributing to stories. The new storytelling process requires the participation of both authors and audiences.
On the Chinese web novel publishing platforms, authors can receive feedback and comments on serially published content. Such responses allow authors to learn the tastes of targeted audiences and their social groups before writing new chapters. Learning these targeted values from comments and feedback, authors can better collaborate with audiences and promote their future series. One problem of this framework is that comments on such platforms are not serious suggestions or discussions about the story.
Most comments are emotional but not meaningful. “Some comments might be generated by the author so as to boost the story to the front of the ranking list,” said Bangzhong Chen, manager of one of the web novel publishing companies.
This keyword cluster shows that Chinese web novel publishing platforms may have trouble collecting valuable comments. Only top ranked novels, such as King of Wisdom and Immortal and the Devil (Xian Mo Bian), updated by the millionaire writers Shenji and Wuzui, have some meaningful comments and discussions.
Most readers wrote only a few words in comments. Some users even posted their advertisements to comments. Some Internet companies in China, such as ChinaRen.com owned by Sohu.com Inc., chose to hire people for validating comments and removing unrelated advertisements. It became difficult for authors to get meaningful feedbacks from comments. Storytelling collaboration between authors and audiences on web novel publishing platforms might just be an ultimate goal.
User Behaviors and New Way of Storytelling
“The productivity of web novelists is beyond your expectation,” said Su. “Most web novels are daily updated.”
The millionaire writer Shenji has continued daily updating his new story King of Wisdom for months. As one of the major novels for the new start-up firm, Shenji planed to prove himself in his new story. “I have been updating this novel for 27 days without a break,” said Shenji. “I want to offer my followers rich plots after the Chinese Lunar New Years.”
A few years ago, web novelists did not update their stories so frequently. Authors might update their stories one or two times per month. Readers were satisfied by the updating frequency at that time. Nowadays, readers become upset if authors do not update their stories more frequently. On average, authors can produce 5,000 to 15,000 words per day.
The number of page views is closely related to the productivity of authors represented as the number of updated words. As long as authors continually generate new content, the novel can continually generate large numbers of clicks. However, that is not always true for popular web novelists.
Most popular novelists, such as Shenjia and Wuzui, were experienced up and down in publishing web novels.
After publishing his second web novel, Master of Gangster (Liu Mang Gao Shou), Wuzui became a popular web writer with millions of followers. He met his Waterloo when publishing his third novel. “The number of page views and followers decreased at that time,” said Wuzui. “To fish my readers, I increased the frequency of updating my story.”
“From that experience, I learned to write what fit the tastes of my audiences,” said Wuzui. “In simple words, it is a process of catering to my audiences on the web. Somebody might blame me for commercializing literature, but I believe that it is a time to be creative.” Commercialized serially published web novels are suitable for the Chinese literature market. “It is hard for readers to get bored on this new mobile platform.”
One of the advantages of web novels is that their content is serially published to audiences. Instead of finding traditional publishers and waiting for the book to come out, such digital platforms allow authors to immediately promote their work to targeted audience groups.
Although some stories generate thousands of page views per day, they usually do not have large numbers of followers. The number of subscriptions is far below the number of page views.
Content of Web Novels
“Web novels usually do not have deep meanings or profound significance to the society,” said Su. “They are less likely to have serious content since web novels belong to the entertainment market.”
Such stories might not make significant impacts to the society, but they offered readers a place to experience and to imagine.
Web novels in China are similar to ones in a popular magazine from the 80s, called The People’s Stories. The magazine collected stories from ordinary people across various parts of China. Most Chinese people in the 80s and 90s read this magazine on a regular basis. “Web novels offer a glossary of such content,” said Su. “But, they contain less meaningful life stories.”
Most keywords of the selected stories are from computer games, shows, dramas and traditional fiction novels. “Content of most stories is unconstrained woolgathering,” said Su. “Some writers are inspired by the anime and manga from other countries.”
A typical web novel plot is a user traveling in a computer game or traveling into the past with special abilities. “Any plot that you can imagine can be found from these platforms,” said Su. “The rest of storytelling is basically a combination of these plots.”
Wuzui said that web novels have started to be translated into anime and manga. “Lacking good stories, the market of anime and manga in Hong Kong has started to decline,” said Wuzui. This is a good opportunity for web novels to develop a new business model. Stories on the web fit into this market. “Some popular web novels have started to price their plots in the anime and manga industry,” said Wuzui
Su is positive about the future of web novels, though he explained that this market needs time to mature. Japanese anime and manga influenced the past generation. Once this generation became the mainstream of the society, Japanese anime and manga became more acceptable worldwide. “When this generation, who read web novels using their mobile devices, become the mainstream of the society, web novels will become more acceptable and develop a healthier business model,” said Su. He is hoping that his platform can go public in the future.
Multimedia Data Visualizations:
Visualization: Number of pageviews and number of words daily changes.
Note: Data mined and analyzed using the Python Jieba Library and the Python Gensim Library. Visualization developed using the Data-Driven Documents (D3) Library inspired by the Line Graph with Dual-scaled Axes.
Visualization: Number of page views and revenues (virtual currency) daily changes.
Note: Data mined and analyzed using the Python Jieba Library and the Python Gensim Library. Visualization developed using the Data-Driven Documents (D3) Library inspired by the Line Graph with Dual-scaled Axes.
Visualization: Number of page views and number of subscriptions daily changes.
Note: Data mined and analyzed using the Python Jieba Library and the Python Gensim Library. Visualization developed using the Data-Driven Documents (D3) Library inspired by the Line Graph with Dual-scaled Axes.
Chinese Text Modeling Tools and Applications for Computational Journalism
Statistical topic models – one of the sub fields of machine learning and natural language processing – provide a data-driven framework for analyzing collections of text documents. It has become one of the most frequently used tools for computational journalism used to investigate abstract topics and keywords that occur in a collection of text documents. Digital journalists can use such tools to extract frequently appearing terms, and to analyze the trend of a particular news brand or stories about a social event. Articles, analyses and documents written in Chinese have become increasingly important for multimedia stories about China. Available Chinese archives on the Internet might contain stories that require digital journalists to apply appropriate topic modeling tools.
Unlike English and other alphabetic languages, the basic structural unit of Chinese language is character encoded in Guobiao GB18030 or Unicode. Since there are no spaces between words in Chinese documents, topic-modeling tools for analyzing English text documents, such as gensim library, cannot be fully applied to analyze Chinese text documents. The gensim library can neither separate Chinese characters into segments nor convert Chinese characters to vectors using the bag-of-words approach. It only accepts pre-compiled documents with Chinese word segmentations with UTF-8 encoding. Digital journalists can take advantage of gensim statistical analyses, such as Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA) and Term Frequency–Inverse Document Frequency (TF-IDF) to analyze existing corpus created by other tools. In this project, I will analyze one of the Chinese topic-modeling tools jieba and its application to computational journalism. I will analyze articles from the opinion archive of the People’s Daily and generate a list of frequently appearing words using the keyword extraction tool provided by the jieba library. I will also apply gensim TF-IDF analysis to existing Chinese segmentation documents represented as bag-of-words counts and apply a weighting, which discounts common terms. I will compare the jieba keyword extraction results with the gensim TF-IDF results.
Chinese Text Segmentation
Importing jieba library and setting the encoding to UTF-8 by declaring #encoding=utf-8, my app reads the monthly-based txt files from the monthly_raw_data folder and save the texts of each monthly article collection to a multiline string called multi_line_text:
This multiline string contains a number of ‘\n’ characters that are interpreted as a new line by the jieba segmentation tool. I get rid of these ‘\n’ characters by splitting the old multiline string and recreating a new multiline string all_text: templist = multi_line_text.split(‘\n’) for text in templist: all_text += text In order to separate the string to Chinese segments, I pass the string that contains texts of a monthly article collection to the jieba segmentation tool: seg_list = jieba.cut(all_text, cut_all=False) temp_text = [] for item in seg_list: temp_text.append(item.encode(‘utf-8’)) The jieba.cut() function returns a generator expression that creates all segments of the multiline string on the fly. Developers need to loop through the generator seg_list once and create a copy in memory. The temp_text list is the copy of the generator. It contains all segments of the articles, which includes a number of meaningless Chinese words commonly appearing in all text files. To clean such noises, the application reads a stop word txt file and saves the list of Chinese words to a stop_list. Looping through the segment words in temp_text, I generate a new list called text_without_stopwords contained segment words that were not appeared in the stop_list: stop_list = [] with open(“stopwords.txt”, “r”) as stoplistfile: for item in stoplistfile: stop_list.append(item.rstrip(‘\r\n’)) text_without_stopwords = [] for word in temp_text: if word not in stop_list: text_without_stopwords.append(word) As shown in figure 4 and figure 5, the stop list removes all meaningless words from the text list, such as “的”(Of), “在”(In), “中”(Middle) and “和”(And). The text_without_stopwords list contains Chinese segment words needed for statistical analyses.
Before using stop word list:
After using stop word list:
In order to test the performance of the jieba segmentation tool, I print all Chinese segments stored in the text_without_stopwords list:
As we can see from the list of printed words, a number of Chinese terms, such as “人民日报社论”(People’s Daily Opinions), “国际劳动节”(The International Labor Day), “中国特色社会主义”(Socialism with Chinese Characteristics) and “中国共产党第十八次全国代表大会/十八大”(The 18th National Congress of Communist Party of China), are not accurately divided. In order to train the system to recognize these new terms, I created a new customized dictionary including these new terms and added it to the jieba module using the load_userdict() method: jieba.load_userdict(“customized_dict.txt”) After adding this customized dictionary, the jieba segmentation tool can recognize such new terms and correctly cut the string into segments:
This word list can be exported to a txt file using csv library. The exported text file stores words in comma-separated values, which can be imported to statistical libraries, such as gemsim library and jieba analysis library, for further analyses.
Keyword Extraction using Jieba Library The jieba library has an analysis module that supports keyword extraction. The method takes two parameters, including the text that needs to be extracted and the number of frequently appearing keywords. It returns a list of keywords. My applications read the previously generated csv file and save the lists of word segments to all_text string. These two apps import jieba.analyse module and pass the all_text string to the jieba.analyse.extract_tags() method: for item in jieba.analyse.extract_tags(all_text, 10): text_temp.append(item.encode(‘utf-8’)) Both applications need to export the results to txt files using the csv library. Developers need to encode Chinese text segments to UTF-8 and save them to a temporary list. The csv writer can save the list of words using this particular encoding to Chinese characters. My application extracts keywords from the entire text string and returns 20 frequently appearing keywords: 发展 (Development) 中国特色社会主义 (Socialism with Chinese Characteristics) 建设 (Construction) 人民 (People) 工作 (Word) 中国 (China) 我国 (Our Country) 小康社会 (Well-off Society) 人民日报社论 (People’s Daily Opinion) 社会 (Society) 经济 (Economics) 文化 (Culture) 改革 (Reform) 社会主义 (Socialist) 水利 (Water Resources) 科学发展观 (Scientific Outlook on Development) 历史 (History) 中华民族伟大复兴 (The Great Rejuvenation of the Chinese Nation) 经济社会 (Economics & Society) 农业 (Agriculture) My application extracts keywords from monthly article collections and returns 10 frequently appearing keywords for each month: 2010/10 上海世博会,世博,落幕,中国,人类,世博会,世博园,低碳,沟通,城市 2010/11 亚运,亚运会,上海世博会,世博,广州,中国,落幕,城市,亚洲,发展 2010/12 发展,农村,农业,工作,残疾人,残运会,经济,精神,推进,防汛 2011/01 中国特色社会主义,水利,发展,法律,建设,立法,体系,一号文件,坚持,我国 2011/03 中国特色社会主义,发展,工作,十二五规划,法律,人民政协,十二五,立法,热烈祝贺,体系 2011/05 劳动,发展,科技,青年,创新,工人阶级,青春,创造,中国,90 2011/07 水利,发展,人民,西藏,建设,60,水资源,改革,中国特色社会主义,加快 2011/09 中华民族,人民,中国,中华民族伟大复兴,抗日战争,民族,中国共产党,历史,复兴,伟大 2011/10 文化,中国特色社会主义,中华民族伟大复兴,发展,建设,社会主义,辛亥革命,坚持,繁荣,推动 2011/11 文化,文艺工作者,神舟八号,对接,交会,天宫一号,广大,发展,任务,圆满成功 2011/12 发展,扶贫开发,经济,农业,环境保护,工作,农村,我国,经济社会,加快 2012/01 金融,发展,经济,工作,我国,国际金融,把握,改革,金融业,经济社会 2012/02 农业,科技,农村,发展,农产品,供给,创新,稳定,保障,加快 2012/03 人民政协,发展,工作,社会,建设,民政,人民,中国特色社会主义,会议,发挥 2012/05 青年,共青团,广大青年,中国特色社会主义,劳动,事业,90,共青团员,发展,群众 2012/06 上海合作组织,成员国,发展,峰会,合作,地区,共同,北京,元首,携手 2012/08 奥运会,中国特色社会主义,奥运,奥林匹克精神,伦敦,奥林匹克,奥林匹克运动,体育健儿,见证,赛场 2012/10 中国特色社会主义,发展,社会主义,十年,社会主义现代化,十八大,中国,道路,社会,构建 2012/11 中国特色社会主义,十八大,小康社会,科学发展观,社会主义现代化,全面,党和国家,人民,发展,大会
TF-IDF Keywords Analysis using Gensim Library Although the gensim library does not have segmentation tools for Chinese content, it has statistical analysis tools that can be applied to an existing corpus. I copied the existing segmentation result files. My gensim application reads this existing segmentation file and generates a gensim dictionary:
Code for generating the dictionary
The dictionary
My gensim application also generates a corpus:
Code for generating the corpus
The corpus
The dictionary is a document file that maps each word with its ID. The corpus represented the original documents as sparse vectors.
Using the gensim dictionary and the corpus, developers can perform statistical analyses. My application runs the TF-IDF analysis on the existing corpus: corpus = corpora.MmCorpus(‘corpus.mm’) tfidf = models.TfidfModel(corpus) It saves the TF-IDF results and returns 20 word IDs with highest TF-IDF score:
农业 (Agriculture) 1.13101010579 法律 (Law) 0.965040840409 劳动 (Work) 0.957638193359 青年 (Youth) 0.942623989634 水利 (Water Resources) 0.907716774625 金融 (Finance) 0.872824577986 世博 (Expo 2010 Shanghai China) 0.718687279642 上海合作组织 (The Shanghai Cooperation Organisation) 0.718505717462 农村 (Countryside) 0.695366468602 文化 (Culture) 0.693982350176 十年 (Ten years) 0.661320834741 立法 (Legislation) 0.637700637339 中国特色社会主义 (Socialism with Chinese Characteristics) 0.582919379105 工作 (Work) 0.581953680087 人民政协 (Chinese People’s Political Consultative Conference) 0.578274475464 西藏 (Tibet) 0.556786191245 辛亥革命 (The Xinhai Revolution/ The Revolution of 1911) 0.537749641255 落幕 (Ring down the curtain) 0.522466708471 供给 (Supply) 0.497780006814
Developers usually emphasize words with low TF-IDF scores. Words with low IF-IDF score frequently appear in one document, but they are not frequently appear in all documents. Since we want to make comparisons with the keywords generated by jieba, these 20 TF-IDF words must be frequently appearing in all documents.
My app reads also returns the top 10 IDs with the highest scores for each month: 2010/10 世博, 落幕, 上海世博会, 世博会, 沟通, 上海, 世博园, 人类, 城市 2010/11 亚运,亚运会,广州,世博,亚洲,落幕,上海,上海世博会,沟通 2010/12 残疾人,明年,农业,农村,亚,抗旱,残运会,防汛,亚洲 2011/01 法律,水利,立法,一号文件,十年,社会主义民主法制,宪法,体系,水资源 2011/03 法律,人民政协,立法,报告,十一届四次会议,牢固,规划,委员,监督 2011/05 劳动,青年,工人阶级,青春,紧密结合,科技,人才,工作者,劳动者 2011/07 西藏,水利,水资源,代表,政党,谨记,须,全党同志,07 2011/09 抗日战争,日本,侵略者,觉醒,九一八事变,抗日,世界反法西斯战争,这场,侵略 2011/10 辛亥革命,文化,先生,孙中山,百年,先驱,中华民族伟大复兴,繁荣,没有 2011/11 文艺工作者,交会,神舟八号,对接,天宫一号,航天,创作,文化,航天事业 2011/12 环境保护,扶贫开发,农业,扶贫,明年,农村,贫困地区,12,力度 2012/01 金融,金融业,金融机构,防范,实体,金融监管,监管,稳健,动荡 2012/02 农业,供给,农产品,农村,科技,绝不能,因为,约束,强 2012/03 民政,人民政协,雷锋,五次,学雷锋,思想道德,民政工作,雷锋精神,十一届 2012/05 青年,共青团,劳动,广大青年,工人阶级,共青团员,团组织,劳动者,主力军 2012/06 上海合作组织,成员国,峰会,地区,本,元首,合作,互信,携手 2012/08 奥运会,伦敦,奥运,奥林匹克,奥林匹克运动,人民解放军,军队,我军,体育健儿 2012/10 十年,构建,回顾,越,关键环节,伟大祖国,奋勇前进,社会主义,十八大 2012/11 中央委员会,十八大,党和人民,新一届,中国共产党第十八次全国代表大会,选举,中国特色社会主义,表现,党的建设 Comparison of Jieba Keyword Extraction Results with Gensim TF-IDF Results
The 20 frequently appearing words generated by the jieba library does not well match the TF-IDF results generated by the gensim library. Only 5 out of 20 Chinese words match in these two results. However, the monthly keyword results of the jieba library match the monthly TF-IDF results of the gensim library. Although some words are not exactly the same, these two monthly results contain synonyms.
The 20 frequently appearing words generated by jieba library are nouns. This is because the jieba keyword extraction takes advantages of its default Chinese dictionary to identify word types. This list of words can be found in the monthly keyword results of the jieba library. The list of words with high TF-IDF scores generated by the gensim library picks up all words that are frequently appearing in all documents. It does not avoid picking up meaningless words, such as 供给 (Supply). In extracting keywords from documents, users should use the jieba library. The gensim library might only be good for getting words with low TF-IDF scores. Such words frequently appear in one document, but they are not frequently appear in all documents

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Data Visualization for People's Daily Opinion 人民日报数据可视化: Chinese Text Segmentation and Modeling using Jieba
Jieba is a Python Chinese word segmentation module. I downloaded opinion articles from the People's Daily Online since 2010, and organized them to a monthly collection. I run the Jieba text segmentation tool using Python on the article collections and examine the results. I did a TF-IDF analysis on the result.
Here is the link to all opinion articles from People's Daily since 2010: http://opinion.people.com.cn/GB/8213/49160/49179/index.html
Image1: Opinion page of People's Daily
After downloading all articles from the site, I read all files into Python:
Image2: Reading all articles into Python.
Image 3: TF-IDF results.
Image 4: Corpus of the articles.
As you can see, the segmentation supported by jieba is not accurate. It is because the limitation of its dictionary. I plan to add customized dictionaries to jieba and train the system to capture new words.
https://github.com/puconghan/Computational-Journalism-for-People-s-Daily-Opinion
Master Project Idea and Proposal
User-Enhanced Self-Publishing Platform: Audience Engagement and Challenges to Traditional Media Monopoly
News organizations have lost their monopoly distributing breaking news, investigative stories and analyses. Revenues of traditional print newspapers have decreased from $44.939 billion in 2003 to $20.692 billion in 2011, as shown in figure 1. Similar to the shift in news industries, traditional book publishing industries have been challenged by the innovations of Internet technologies. Revenue of traditional print books has decreased from $23.2 billion in 2004 to $20.5 billion in 2009, as shown in figure 2. The traditional publishing monopoly is losing its profitability. In order to maintain their profitability, news and publishing corporations needed to understand their customers on the digital side and practice a combination of smart business models on the web to effectively distribute narrative content among targeted groups on the Internet.
Figure 1: Print and Online Ad Revenue from 2003 to 2011 in millions of dollars (Source: Newspaper Association of America)
Figure 2: Print and Online Books Revenue from 2004 to 2009 in millions of dollars (Source: U.S. Census)
Asian online publishing companies, such as Zong Heng, take unique approaches to interacting with audiences, and pricing serially published content. The company introduced a combination of smart business models to a new publishing platform that allows audiences to recommend plots and suggest content to authors. Authors can interact with audiences to brainstorm a novel or investigate some historical records. Audiences play a role in checking quoted historical events, and drive authors to develop future plots. By suggesting plots and recommending sources, narrative user-enhanced stories can have rich details and will be serially published online. Instead of finding traditional publishers and waiting for the book to come out, such digital platforms allow authors to immediately promote their work to targeted audience groups.
The fledging digital publisher Zong Heng has found a place in the Asian media market to serially publish bricks-and-mortar content to the Internet. The company has identified a mechanism where traditional publishing companies cannot comfortably compete in Asia. Such digital publishing platform might be an effective model to price bricks-and-mortar serially published content in the western society. Instead of putting emphasis on saving media industries, I want to argue that user engagements will break the traditional media monopoly and take the lead in story telling process. This master project will emphasize analyzing user engagements on this new publishing platform and studying audience driven story-telling process and user participated story-promoting process. This new platform has attracted a large number of digital users. As we can see from figure 3, the number of page views of zhongheng.com significantly increased after the site launched in September 2008. The site frequently has page view peaks when popular user-enhanced stories published on the platform.
Figure 3: Daily Page Views in millions (Source: China Webmaster and Alexa)
1. Data Visualization of Clustered Digital Users
To analyze audiences of this new digital user-enhanced self-publishing industry, it is important to study their age, education background, career and gender. These numerous audiences might have different tastes in content and dissimilar behaviors to engage with stories. As John Dewey explained in his book Democracy and Education, such social groups have “more numerous and more varied points of shared common interest” (96). These social groups can be clustered and visualized based on their tastes and behaviors over a couple of years or months. Audiences might subscribe to particular stories for a range of times and switch to new content. By clustering digital customers based on these various stories, I can map audiences to a number of stories and find the correlation of these content for a range of times. Such mapping might change over a couple of months. I want to visualize the variation of user subscriptions and to explain the trend of self-published content.
2. Data Visualization of User Engagements
I want to visualize user engagements in terms of comments, suggestions, posts and votes for a selected number of stories (and for all digital content). If I can get comments, suggestions and votes for a selected number of stories, I can study the evolution of frequently used words using TF-IDF technique. These bags of words can explain the interests of audiences. The number of daily-generated user content (word) over a period of time can also explain the trend of digital users.
3. Data Visualization of Content
To analyze serially published content, it is important to study published stories in various categories. I want to visualize the growth of content in each category, such as the number of stories and the number of words. The number of daily-published words over a couple of months or a couple of years is another important visualization to study the platform. I can compare it with the daily-generated comments. Visualizing the number of monthly published chapters, stories and associated number of page views over a couple of months can give readers an overview of the content generating speed and their contribution to the overall page views. The change of ranking, particularly data from the red list and the black list, is another factor to evaluate the quality of content and their engagement. I also want to visualize the statistics of a number of subjects (fiction, history, love, fairy tale, etc.).
4. Data Visualization of Authors
To analyze authors of this new digital user-enhanced self-publishing industry, it is important to study their age, education background, career and gender. It is important to visualize the number of their published stories, the number of page views and the number of engagements over a couple of years. By visualizing the number of words generated per day or per month, I can study their speed in generating content. I can also compare it with the number of comment words generated per day or per month.
5. Profitability of the Platform
To show the advantage of this new publishing platform, it is important to study its profitability or growth of market shares. I want to visualize the number ads and profits generated by the platform. I also interested in studying the profitability of a selected number of authors. I want to visualize their monthly-produced words and their monthly-generated profits. I want to map these number of authors’ profitability to the visualization of monthly-produced words and the monthly-generated profits of the entire platform.
Fraud Investigations & Private Research Report Hurt Chinese Companies
By Pucong Han
Columbia Journalism School People's Daily Online USA
New Oriental Education and Technology Group Inc. (New Oriental) (NYSE: EDU), one of the largest providers of private educational services in China, lost 34.32% of its share price and closed at $14.62, representing a loss of over $1.1 billion in shareholder value, after it announced that it had received notice of a fraud investigation by the U.S. Securities and Exchange Commission (SEC) on July 17, 2012. According to the press release on July 17, 2012, “[New Oriental] believes that the investigation concerns whether there is a sufficient basis for the consolidation of Beijing New Oriental Education & Technology (Group) Co., Ltd., a variable interest entity of [New Oriental], and its wholly-owned subsidiaries, into the Company's consolidated financial statements.” The day after this announcement, Muddy Waters, LLC, a private equity research firm focused on fraud in Chinese companies, published a research report and raised fraud allegations against New Oriental. In the report, Muddy Waters rated New Oriental a “Strong Sell.” According to the disclaimer of the research report, “Muddy Waters, LLC (possibly along with or through our members, partners, affiliates, employees, and/or consultants) along with our clients and/or investors has a short position in all stocks (and/or options of the stock) covered herein, including without limitation EDU, and therefore stands to realize significant gains in the event that the price of stock declines.” The share price of New Oriental plunged 35.02% and closed at $9.5 on July 18, 2012. In the report, Muddy Waters alleged New Oriental had numerous franchisees, which were not a hidden bonus for investors. The report said that these franchisees were part of a substantial fraud in New Oriental’s accounting. Muddy Waters wrote in its report, “It is virtually certain that EDU uses the upfront franchise and other fees to inflate its cash balances in order to receive unqualified audit opinions from its auditor.” The report also questioned New Oriental’s corporate structure by saying, “EDU’s corporate structure is far more problematic than just a weak VIE. The schools that conduct its operations are ultimately state property.” Muddy Waters predicted, as a result of the exposure, that New Oriental would restate historical results, and its auditor would resign. On July 19, 2012, New Oriental published a response to the Muddy Waters report. According to the response, “New Oriental believes that the Muddy Waters report contains numerous errors of facts, misleading speculations and malicious interpretations of events.” In response to the allegation about the franchisees, New Oriental said, “[it] has never included these cooperation facilities, which never exceeded 21 facilities in total, in the counts of its own schools and learning centers, nor has New Oriental included student enrollments from these cooperation facilities as its own student enrollments.” “New Oriental stands firmly by its statement that all of the 644 schools and learning centers as of May 31, 2012 were, and are, its own,” according to the response. “New Oriental’s Board of Directors has been informed of the allegations made by Muddy Waters and will consider and decide on the necessary and appropriate course of action in response to the allegation.” “Muddy Waters is not an investment bank/equity research firm. It is just hard to go after them due to the freedom of speech,” said Jinming Liu, Sr. vice president of Equity Research at Ardour Capital Investments, LLC. “Muddy Waters became famous by uncovering some fraudulent behavior and fraudulent financial reportings by Chinese companies.” “Muddy Waters, LLC is not registered as an investment advisor,” according to the disclaimer of its research report. “Muddy Waters, LLC makes no representation, express or implied, as to the accuracy, timeliness, or completeness of any such information or with regard to the results to be obtained from its use.” “There are some small and medium sized Chinese companies, such as RINO International Corp. (NYSE: RINO), that have committed fraud,” said Liu. “Instead of chasing the wind and clutching at shadows, these research companies should have solid evidence before publishing any research reports or making any statements.” On July 20, 2012, New Oriental announced that members of its senior management team had informed New Oriental of their intention to use their personal funds to purchase New Oriental’s American depository share (ADS) on the open market for an aggregate amount up to a maximum of $50 million within the next three months. “We remain confident in the long-term prospects of New Oriental’s business and this share purchase plan demonstrates our confidence,” commented Michael Yu, Chairman and Chief Executive Officer of New Oriental. On July 20, 2012, the share price of New Oriental went back to the range between $12.14 and $12.91 and closed at $12.91. On the same day, New Oriental announced that the Company's board of directors had formed an independent special committee to conduct an independent review of the various allegations raised in a report issued by Muddy Waters on July 18, 2012. According to its press release, “The board of directors of the Company decided to form the independent special committee to review the allegations and management will fully cooperate with the committee in the investigation.” In the press release document on July 19, 2012, New Oriental also provided detailed information about its small pilot programs by saying, “Although New Oriental started a small pilot program beginning in fiscal year 2010 whereby it permits third parties in certain small cities to offer its ‘Pop Kids’ English program and ‘New Oriental Star’ kindergarten program under a brand name cooperation model, that pilot program is immaterial to the Company.” “We were glad that New Oriental finally admitted to franchising some of its operations, despite Louis Hsieh, the Chief Financial Officer, denying seven times to us that company has ever franchised,” said Zach Kouwe, Senior Account Executive at Dukas Public Relations, a communications company that handles media relations for Muddy Waters. “Despite the admission, we believe New Oriental is still vastly [underestimating] the number of franchises they have.” New Oriental declined to be interviewed for a story. Following the SEC fraud investigation and the Muddy Waters research report, the share price of New Oriental dropped by nearly 45% in four business days from $22.26 on July 16, 2012 to $12.91 on July 20, 2012. The most updated share price of New Oriental is $11.42 on July 31, 2012. These investigations into fraud have hurt the reputation of Chinese companies. (Pucong Han is a reporter from Columbia Journalism School. He write stories for People's Daily Online and produce multimedia stories for People's TV. He can be reached at: [email protected])
This work has been published at: http://usa.people.com.cn/n/2012/0804/c242182-18668064.html
Time Inc. Information Technology 2012 Summer Internship Web Project Demo
As an information technology intern at Times Inc, I re-designed and built a server-based tool with a server-hosted MySQL database in the back-end using Ruby on Rail. This new tool manages planned events, stories and live incidents.

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Facing Sluggish Sale, Sino Clean Energy Inc. Halted by NASDAQ
By Pucong Han (People’s Daily Online USA)
Sino Clean Energy, Inc. (NYSE: SCEI), a China-based commercial producer and distributor of coal-water slurry fuel, launched NASDAQ in early June 2010.
On May 21, 2012, trading in Sino Clean Energy on the NASDAQ Capital Market was halted and had not resumed. According to NASDAQ, trading will remain halted until Sino Clean Energy, Inc. has fully satisfied NASDAQ's request for additional information. The last price of Sino Clean Energy in the market was $1.02.
According to the First Quarter of 2012 Financial Results, revenues of Sino Clean Energy decreased 17.6% from $33.8 million in 2011 to $27.8 million in 2012. Net income of Sino Clean Energy in the first quarter of 2012 was $2.8 million, a decrease of 77.0% from $12.1 million in the same quarter of 2011.
Disclosed by the newsroom of Sino Clean Energy, the negative result in the first quarter of 2012 was primarily due to a year-on-year decrease in sales to the Company's major customer, Haizhong Heating, in Shenyang. Sales to Haizhong Heating decreased by $4.4 million. In addition, the Company's subsidiary Shaanxi Suo'ang New Energy lost nine customers in 2011. According to the newsroom, the reduction in sales due to this loss of customers was approximately $5.0 million.
“The past quarter was a challenging period for Sino Clean Energy,” said Baowen Ren, chairman and chief executive officer of Sino Clean Energy. “Although we had expected a slowdown in order volume from our largest customer, which is based in Shenyang, our Shenyang facility sales were more sluggish than anticipated.”
“We are encouraged, however, that order volume at Dongguan continued to expand and partly offset the revenue reductions from our other two facilities,” said Ren. As disclosed in the 8-K filing with the SEC on May 18, its Dongguan facility was forced to suspend operations pending the outcome of a lawsuit filed against Yongchang Paper Industry Co Ltd.
Sino Clean Energy is in the process of appealing the court order and intends to defend its contractual rights. In the meantime, Sino Clean Energy is actively seeking alternative production options and may lease additional facilities to serve its customers in the region.
The management team of Sino Clean Energy is actively looking for solutions to stop the sluggish sales. “Our management team and I are carefully reviewing both the successes and shortcomings of the year's first quarter to find ways to recapture the growth that our experience has shown this company is fully capable of achieving,” said Ren.
(Pucong Han is an intern reporter at People’s Daily Online. He is from Columbia Journalism School. Pucong can be reached at: [email protected])
Social Networks Shares Fall After the Heavy Volume of Facebook IPO
By Pucong Han (People's Daily Online)
The world’s largest social network site Facebook (NYSE: FB) went public on May 18, 2012. The share price opened above $42 per share, 10% higher than its IPO price of $38 per share. Although the performance of Facebook on Friday was below investors’ expectations, it became one of the most heavily traded U.S. IPOs in history. However, the heavy volume of trading on Friday did not prevent the fall of its share price. Facebook closed at $38.23 per share, only 0.6% higher than its IPO price.
On the second day of trading, the share price of Facebook opened below its IPO price and closed at $34.03 per share, 10.44% lower than its IPO price.
Compared with other publicly traded social network sites, Facebook’s was not a unique occurrence on Nasdaq. Renren (NYSE: RENN), the dominant social network site in China, lost 7% on Friday. It began the day trading at $6.31 per share and moved between $5.61 and $6.38. Renren closed at $4.74 per share on Monday, 24.88% lower than its Friday’s opening price.
Both Renren and Facebook have moved beyond the traditional Internet business model of only displaying ads.
Facebook generates revenues from online ad sales, third-party partnerships, data sharing / analytics, daily deal & coupon E-commerce and virtual currency (Facebook credits). The total revenue of Facebook has increased from $770 million in 2009 to $3.285 billion in 2011.
According to the private company financial report of Facebook published on July 20, 2011, Facebook considered the possibility of loss of investor confidence due to its partnership with Zynga. Since the health of Zynga’s business is so strongly related to that of Facebook, investors may view Zynga’s performance as an indicator of how well Facebook is performing.
The report also discloses that Facebook has expanded its ad space to include three advertisement slots per page, up from two, a move that PrivCo predicts will counteract the trending increase in price per advertisement on Facebook.com.
According to the report, Facebook plans to re-enter China after its ban in 2009. In order to properly comply with Chinese law, Facebook plans to partner with a Chinese search engine, most likely Baidu (NYSE: BIDU), which will enforce proper censorship and compliance with Chinese laws.
This plan might shrink the market share of Renren, but it will not easily challenge the role of Renren as the leading social network site in China. The consequence of this plan is creating opportunities for search engine companies like Baidu to play a role in social networks.
Renren generates revenues from both online advertising and Internet value-added services (IVAS). The IVAS provides creative online environments for users to have fun, to communicate and interact with their friends and families.
According to its Form 6K – a report for non-U.S. companies to disclose financial or important changes in the company's operations – about two-thirds of Renren’s revenue is from IVAS. The rest of revenue comes from online advertising.
Renren’s IVAS revenues are comprised of online game revenues, VIP membership fees, social commerce revenues from merchants on nuomi.com, and fees from 56.com. According to its Form 6K, its revenue from IVAS has increased from $12.422 million in March 2011 to $22.749 million in March 2012.
Renren’s online advertising revenue increased from $8.13 million in March 2011 to $9.33 million in March 2012. Despite these improvements in revenue, the operating expenses of Renren were US$40.2 million, an 89.8% increase from the corresponding period of 2011.
The 45% increase in IVAS revenue plus the 12.8% increase in online advertising revenue failed to stop Renren’s losses before Facebook launched on Nasdaq. The net loss of Renren increased from $2.6 million in March 2011 to $13.616 million in March 2012. Excluding results of operations attributable to Nuomi in both quarters, net loss in the first quarter of 2012 could be US$5.5 million, compared to a net income of US$1.0 million in the corresponding period of 2011.
These negative results may hurt the market confidence in Renren for its long-term performance. Its share price has shrunk by 66.14% since it first launched on Nasdaq in 2011. There is no clear evidence whether Facebook will repeat Renren’s market value loss, but, its 10.5% lossin share price suggests that the performance of social network sites on Nasdaq are unpredictable.
(Pucong Han is an intern reporter at People’s Daily Online. He is from Columbia Journalism School. Pucong can be reached at: [email protected])
GoblinXNA enable 3D Data Visualization
Attaching a 3D Map of New York City to a marker, developers are able to display and visualize data in 3D environment using their mobile camera or laptop camera.
China Auto Rental Holding Inc to offer 11 Million ADS in an Early Stage of Development
By Pucong Han Columbia Journalism School Reporter at People’s Daily Online
China Auto Rental Holdings Inc. (NASDAQ: CARH), a leading car rental company in China, expects to offer 11 million American Depositary Shares (ADS) at a price between $10.50 and $12.50.
The company estimates that it will receive net proceeds of approximately US$112.5 million from this offering after deducting the underwriting discounts, commissions and estimated offering expenses. China Auto Rental plans to spend US$90.0 million received from this offering for vehicle acquisition to further expand their rental fleet.
The services of China Auto Rental include short-term rentals, long-term rentals and leasing. As of December 31, 2011, China Auto Rental had a customer base of over 450,000. Their fleet is comprised of 25,845 vehicles in 520 service locations covering 66 cities in all provinces of China.
“China's car rental industry dates back to the Beijing Asian Games in 1990, when it was launched to cater to the transportation needs of foreign reporters and the employees of foreign diplomatic missions,” according to the Study of Automotive Landscape 2025 by Roland Berger. China Auto Rental derives revenues primarily from short-term car rentals. In the study, short-term chauffeured car rental services are almost unique to China and currently account for about 12% of the industry.
According to the SEC F-11 form, a filing with the Securities and Exchange Commission (SEC) required for the registration of certain securities by foreign issuers, although the revenues of China Auto Rental increased from RMB143.0 million (US$22.7 million) in 2010 to RMB775.8 million (US$123.3 million) in 2011, it incurred net losses of RMB43.3 million (US$6.9 million) in 2010, and RMB151.4 million (US$24.1 million) in 2011.
In the SEC F-11 form, China Auto Rental clarified that the company does not expect to pay dividends in the foreseeable future, and not until it declares dividends on its ordinary shares.
China's car rental industry is currently concentrated in four cities – Beijing, Shanghai, Guangzhou and Shenzhen – due to higher purchasing power and higher car ownership and usage rates in these localities. According to Roland Berger, total revenues in China's car rental industry grew from approximately RMB5 billion in 2005 to approximately RMB17 billion (US$2.5 billion) in 2010 and are expected to further increase to approximately RMB39 billion (US$6.1 billion) in 2015. Although China's car rental industry has experienced substantial growth in recent years, it is at an early stage of development.
(Pucong Han is an intern reporter at People’s Daily Online. He is from Columbia Journalism School. Pucong can be reached at: [email protected])
This work has been published at: http://english.people.com.cn/90778/7795651.html
ZST Digital Networks, Inc. to Voluntarily Delist from NASDAQ
By Pucong Han Columbia Journalism School Reporter at People’s Daily Online
ZST Digital Networks, Inc. (“ZST”), a major developer, manufacturer and supplier of digital and optical network equipment to cable system operators and providers of GPS tracking devices and support services for transport-related enterprises in China, announced that its Board of Directors has decided to seek a voluntary delisting from the NASDAQ Global Market on April 6, 2012.
According to the unaudited third quarter 2011 financial Results, the third quarter net income of ZST increased 28% year-over-year from $6.4 million in 2010 to $8.2 million in 2011.
As previously disclosed in the Company’s Current Report on Form 8-K, filed with the Securities and Exchange Commission (SEC) on March 30, 2012, BDO China Dahua CPA Co., Ltd. (“BDO”) informed ZST of its decision to resign as ZST's independent registered public accounting firm, effective March 26, 2012.
According to the official notice filed by BDO, ZST seriously restricted their audit procedures for the year ending December 31, 2011. “We planned a more simple procedure to confirm the bank balance; but [ZST] refused and insisted we follow the process [ZST] had arranged,” said Bo Zhong, Chairman of the Board of Directors, and Huifang Liu, Chairwoman of the Audit Committee. “We were unable to continue providing our services as the independent registered public accounting firm for [ZST].”
“The restrictions placed on us by the company had substantially limited our work scope,” said Zhong and Liu. “The restrictions on the audit procedures could indicate a probability that there were material errors in previously issued financial statements.”
In view of the Company’s inability to continue to comply with NASDAQ’s continued listing requirements set forth in Listing Rule 5250 (c)(1), requiring filings to be made with the SEC on a timely basis, the Company has notified The NASDAQ Stock Market of its intent to voluntarily delist its common stock from the NASDAQ GM.
According to the press release, ZST intends to file Form 25, a notification given to the SEC by a national securities exchange telling of the removal from listing, on or about April 16, 2012. ZST anticipates that the delisting of its common stock will become effective on or about April 26, 2012. ZST expects that its common stock will be eligible for trading on the over-the-counter market thereafter.
(Pucong Han is an intern reporter at People’s Daily Online. He is from Columbia Journalism School. Pucong can be reached at: [email protected]) The article has been published at http://english.people.com.cn/90778/7785882.html

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Yellowstone National Park 2012 Documentary
Yellowstone National Park is a national park located primarily in the U.S. state of Wyoming. Yellowstone, widely held to be the first national park in the world, is known for its wildlife and its many geothermal features. There is no clear evidence that it will erupt in 2012. But, the super volcano is still active. The super volcano beneath Yellowstone National Park in Wyoming has been slowly rising for hundreds of years. Produced by Pucong Han Columbia Journalism School People's Daily Online
YouTube Adds 3D Option for 1080p Video
Google's YouTube now will convert all short-form videos uploaded in 1080p to 3D, the company said, expanding a beta feature it launched last year. Google has been able to apply its cloud computing infrastructure to apply the 3D conversion process to the breadth of videos on the site.
As a result, 3D videos and graphics will become accessible to people who watch video at home.
(Read more: PCMAC http://www.pcmag.com/article2/0,2817,2402658,00.asp)