Скачать или смотреть Stanford Seminar: Making Sense of Algorithms in News Feeds

Karrie Karahalios
University of Illinois

Millions of people use News Feeds daily. Take Facebook's NewsFeed for example. This list of updating stories that appears front and center on Facebook home pages displays a curated or filtered list of stories selected from a pool of all stories written by one's network of friends. How does the News Feed "algorithm" choose which stories to include in News Feed? Such algorithms are buried not only outside of human perception, but behind walls of intellectual property. How does one begin to make sense of them?! While occasionally mentioned in blog posts, the News Feed algorithm is a black box - most often discussed when it's perceived as "broken" or "illegally" fixed. Some people know their feed is curated; some don't. People may have theories about how algorithms filter their feeds, but proving such theories is difficult. In this talk I discuss algorithm awareness of feeds through a series of social media narrative visualizations, viewers reactions to their feed, and folk theories created by users to make sense of their feed. This leads to a discussion of how to use design as a signal for algorithmic process.

Karrie Karahalios is an Associate Professor of Computer Science, Co-Founder of the Center for People and Infrastructures at the University of Illinois at Urbana-Champaign, and a Senior Research Scientist at Adobe. Karahalios completed a S.B. in electrical engineering, an M.Eng. in electrical engineering and computer science, and an S.M. and Ph.D in media arts and science at MIT. Her work focuses on the interaction between people and the social cues they perceive in networked electronic spaces. She is particularly interested in the design/analysis of social media systems, communication dynamics, and assistive technologies for communication and their use in non-lab environments. She received the Alfred P. Sloan Research Fellowship, the Faculty Early-Career Development Award from the US National Science Foundation (NSF CAREER) in the area of human-centered computing. In addition, she is four-time winner of the ACM Best Paper award for her work on social media.

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