This paper presents an algorithm audit of the Google Top Stories box, a prominent component of search engine results and powerful driver of traffic to news publishers. As such, it is important in shaping user attention towards news outlets and topics. By analyzing the number of appearances of news article links we contribute a series of novel analyses that provide an in-depth characterization of news source diversity and its implications for attention via Google search. We present results indicating a considerable degree of source concentration (with variation among search terms), a slight exaggeration in the ideological skew of news in comparison to a baseline, and a quantification of how the presentation of items translates into traffic and attention for publishers. We contribute insights that underscore the power that Google wields in exposing users to diverse news information, and raise important questions and opportunities for future work on algorithmic news curation.
机构:
NYU, Dept Radiol, Langone Med Ctr, Sch Med, 660 First Ave,3rd Floor, New York, NY 10016 USANYU, Dept Radiol, Langone Med Ctr, Sch Med, 660 First Ave,3rd Floor, New York, NY 10016 USA
Lin, Leng Leng Young
Rosenkrantz, Andrew B.
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机构:
NYU, Dept Radiol, Langone Med Ctr, Sch Med, 660 First Ave,3rd Floor, New York, NY 10016 USANYU, Dept Radiol, Langone Med Ctr, Sch Med, 660 First Ave,3rd Floor, New York, NY 10016 USA