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Bias, Skew, and Search Engines Are Sufficient to Explain Online Toxicity

Authors:

Henry Farrell,

Cosma ShaliziAuthors Info & Claims

Communications of the ACM, Volume 67, Issue 4

Pages 25 - 28

https://doi.org/10.1145/3624715

Published: 14 March 2024 Publication History

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Abstract

Social media would still be a mess even without engagement algorithms.

References

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Index Terms

Bias, Skew, and Search Engines Are Sufficient to Explain Online Toxicity

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Published In

Communications of the ACM Volume 67, Issue 4

April 2024

89 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3654642

Editor:
James Larus
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 25 March 2024

Online First: 14 March 2024

Published in CACM Volume 67, Issue 4

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Abstract

References

Index Terms

Recommendations

Navigation characteristics of online social networks and search engines users

Integrating functional, social, and psychological determinants to explain online social networking usage

Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

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