What's the story with algorithms?
In this follow-up to the “Algorithmic Accountability: Case Studies from the Field” session we’ll collaboratively brainstorm newsworthy algorithms that are deserving of investigation. Then we’ll work in small groups to begin detailing how we would go about the investigation: what data needs to be gathered and how would it be sampled, what types of analysis would be most interesting, and what newsworthy nugget would we be looking for? Participants in this interactive workshop should expect to go home with a set of promising ideas for algorithmic accountability stories.
Nick Diakopoulos is a Professor of Communication Studies and Computer Science at Northwestern University. He studies automation and algorithms as they impact news media including aspects of journalistic data mining, automated content production, news bots, and algorithmic accountability. He is author of "Automating the News: How Algorithms are Rewriting the Media" from Harvard University Press, and co-editor of "Data-Driven Storytelling" from CRC Press.
Jennifer is a Computational Journalist examining algorithmic accountability and transparency. Discovering a love for Python, data, visualization and storytelling, she earned a Master’s in Information Visualization from the Maryland Institute College of Art, and a Certificate in Data Science from General Assembly. Previously, Jennifer was a Neuroscience postdoctoral researcher at the NIH. @_JAStark
What’s the Story with Algorithms?
These slides give you suggestions on what kinds of stories you can cover with algorithms and how to approach these stories.