Abstract
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.
Original language | English (US) |
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Title of host publication | CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450359702 |
DOIs | |
State | Published - May 2 2019 |
Event | 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom Duration: May 4 2019 → May 9 2019 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 5/4/19 → 5/9/19 |
Funding
This work is supported by the National Science Foundation Grant, award IIS-1717330. The authors would like to thank Chartbeat for their collaboration, particularly Christopher Breaux, Director of Data Science, and Jeiran Jahani, Senior Research Data Scientist. We would also like to thank the reviewers for their thoughtful input.
Keywords
- Algorithm audit
- News curation
- News diversity
- Search engines
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design