Week 12: Crowdsourcing during emergencies
Helooo Humans! đ§ đť We're talking about something today that makes the internet feel much more collaborative and a little less chaotic. Yes, crowdsourcing.
Have you ever shared a post to assist someone in finding a lost dog? Or responded to a strangely specific Reddit question that brightened someone's day? You know what? You used crowdsourcing.
Let's take a chance and contribute to creating a crowdsourced masterpiece of this blog post! Give any interesting examples of crowdsourcing that you have witnessed or even taken part in. This is your moment to shine, Internet Hero đڏââď¸đڏââď¸. Don't hold back.
What precisely is crowdsourcing, then? To put it simply, it involves asking a sizable group of people typically online to assist with a task, find a solution, or provide ideas. And it's fantastic when used properly, particularly in emergency or community-focused situations.
 The Use of Crowdsourcingđ˛
When potholes were the worst thing on the road, do you recall? To identify potholes in real time, the city of Boston released the Street Bump smartphone app, which used crowdsourced data from drivers' phones (Sornsakul, C, 2024). The data simply poured in, eliminating the need to wait months for someone to report it!
Websites like Wikipedia are excellent examples of crowdsourcing even outside of emergencies. Although it isn't flawless, it is among the most extensive volunteer-built collections of human knowledge (Frauenfelder, M, 2007). Then there's Zooniverse, where we science geeks assist astronomers in discovering new galaxies or identifying penguins in images of Antarctica (Davies, A, 2021). Yes, crowdsourcing also benefits science.
Not all information created by users is valuable. Certain data may be fraudulent, erroneous, or even dangerous. To keep it clean and helpful, it is crucial to employ filters, both algorithmic and human (Bozdag, E, 2013).
In summary, crowdsourcing is about community power rather than just technology or data. No matter where you are, it's about saying, "Hey, I can help," and changing the world. So, feel free to share your own anecdotes, illustrations, or even inquiries. Let's turn this post into something truly remarkable through crowdsourcing.
References
Sornsakul, C., 2024. Improving Sidewalk Maintenance through Smartphone Citizen Reporting of Pothole Damage.
Frauenfelder, M., 2007. Rule the Web: How to Do Anything and Everything on the Internet---Better, Faster, Easier. St. Martin's Griffin.
Davies, A., 2021. Using machine learning techniques to detect, classify and separate strong gravitational lensing systems from astronomical images (Doctoral dissertation, Open University (United Kingdom)).
Bozdag, E., 2013. Bias in algorithmic filtering and personalization. Ethics and information technology, 15, pp.209-227.














