Event Details
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Nicholas Diakopoulos: Algorithms and the News
FOR REMOTE PARTICIPANTS
Video from this talk will be streamed LIVE. To access the live stream, click: https://midas.umich.edu/seminar-stream/ during the event time.
TITLE
The Role of Algorithmic Intermediaries in Shaping Attention to News
ABSTRACT
As people seek news information online, platforms like Google, Facebook, Apple, Amazon and other news aggregators mediate and influence a huge portion of human attention, acting as algorithmic gatekeepers and curators. But as private platforms, there are few public details about how the algorithms of these information intermediaries serve to drive public exposure and salience of news information. What types and sources of news are made available and prioritized, what’s the quality of that information, and are there diverse perspectives represented in the algorithmic curation of major platforms? This talk will address these questions by presenting the results of several audit studies of algorithmic news intermediaries. These studies begin to shed light on the role such intermediaries play in impacting human attention towards the news. Implications for platform power, governance, and the economic health and competitiveness in the larger news ecosystem will be discussed.
SPEAKER BIO
Nicholas Diakopoulos (http://www.nickdiakopoulos.com/) is an Assistant Professor in Communication Studies and Computer Science (by courtesy) at Northwestern University where he directs the Computational Journalism Lab. He is also a Tow Fellow at Columbia University School of Journalism as well as Associate Professor II at the University of Bergen Department of Information Science and Media Studies. His research focuses on computational journalism, including aspects of automation and algorithms in news production, algorithmic accountability and transparency, and social media in news contexts. He is the author of Automating the News: How Algorithms are Rewriting the Media, published by Harvard University Press in 2019. Recently he was a resident researcher in the Computational Political Journalism Lab at the Washington Post. He received his Ph.D. and M.S. degrees in Computer Science from the School of Interactive Computing at the Georgia Institute of Technology, and his Sc.B. degree in Computer Engineering from Brown University.
This event is organized by the Michigan Institute for Data Science (MIDAS) and co-sponsored by ESC.