Big Data Big Issues
Week 10 â New Media, Big data and telemetrics
Everything you do generates data
The Title speaks for itself; everything you do produces data. One of the videos that I watched about big data states that data is collected every second. âEverythingâ involves clicking on a website, making a purchase, turning a light bulb on and off. Therefore, it can be seen that a lot of things in our everyday life creates data.  IBM say that every day we create 2.5 quintillion bytes of data â so much that 90 per cent of the data in the world today has been created in the last two years alone (Runciman, 2014). Today an unprecedented amount of data is being produced at greater speeds from a larger number of sources, and there are complex new data types to deal with (Karena, 2012).
While journalists are embracing social science techniques, social scientists are undergoing a fundamental shift in the ethical structure that has defined the moral use of these techniques (Fairfield & Shtein, 2014). Much of social science ethics focuses on rights and responsibilities toward the individual human participant (Fairfield & Shtein, 2014). Therefore, the amount of data produced each day does create ethical issues and challenges for companies. Big data can be misused through the abuse of privilege by those with access to the data and analysis tools (Runciman, 2014). This can cause private information to be leaked and can cause security problems. With all the data generated every day, how can we be certain that it is not misused and our information is managed responsibly? An example of misused data and leaked information is the 2006 Netflix incident. They released an anonymised database of 100 million movie ratings and offered $1 million to the first team who could use that data to "significantly improve" Netflix's recommendation algorithm (Walton, 2014). Using publicly available user ratings in the Internet Movie Database (IMDb) for fifty Netflix members, researchers were easily able to identify to a statistical near-certainty two users in the Netflix database (Walton, 2014). Big data can cause big issues when it comes to privacy. The data can create ethical issues with companies and users need to be aware of these issues. However, so much data is being collected so it can be a challenge to ensure these incidents never occurs.
  Bibliography
Fairfield, J., & Shtein, H. (2014). Journal of Mass Media Ethics: Exploring Questions of Media Morality. Big Data, Big Problems: Emerging Issues in the Ethics of Data Science and Journalism , 29 (1).
Karena, C. (2012). Top 6 big data issues . Retrieved May 11, 2014, from The Sydney Morning Herald: http://www.smh.com.au/it-pro/business-it/top-6-big-data-issues-20120816-24a6w.html
Runciman, B. (2014). Big Data, Opportunities and challanges . United Kingdom: BCS Learning and Development Ltd.
Walton, D. J. (2014). Inside Counsel. Breaking News. Big Data raises big legal issues .











