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Neutral bots probe political bias on social media
Social media platforms attempting to curb abuse and misinformation have been accused of political bias. We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging from platform mechanisms versus user interactions. We find no...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458339/ https://www.ncbi.nlm.nih.gov/pubmed/34552073 http://dx.doi.org/10.1038/s41467-021-25738-6 |
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author | Chen, Wen Pacheco, Diogo Yang, Kai-Cheng Menczer, Filippo |
author_facet | Chen, Wen Pacheco, Diogo Yang, Kai-Cheng Menczer, Filippo |
author_sort | Chen, Wen |
collection | PubMed |
description | Social media platforms attempting to curb abuse and misinformation have been accused of political bias. We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging from platform mechanisms versus user interactions. We find no strong or consistent evidence of political bias in the news feed. Despite this, the news and information to which U.S. Twitter users are exposed depend strongly on the political leaning of their early connections. The interactions of conservative accounts are skewed toward the right, whereas liberal accounts are exposed to moderate content shifting their experience toward the political center. Partisan accounts, especially conservative ones, tend to receive more followers and follow more automated accounts. Conservative accounts also find themselves in denser communities and are exposed to more low-credibility content. |
format | Online Article Text |
id | pubmed-8458339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84583392021-10-07 Neutral bots probe political bias on social media Chen, Wen Pacheco, Diogo Yang, Kai-Cheng Menczer, Filippo Nat Commun Article Social media platforms attempting to curb abuse and misinformation have been accused of political bias. We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging from platform mechanisms versus user interactions. We find no strong or consistent evidence of political bias in the news feed. Despite this, the news and information to which U.S. Twitter users are exposed depend strongly on the political leaning of their early connections. The interactions of conservative accounts are skewed toward the right, whereas liberal accounts are exposed to moderate content shifting their experience toward the political center. Partisan accounts, especially conservative ones, tend to receive more followers and follow more automated accounts. Conservative accounts also find themselves in denser communities and are exposed to more low-credibility content. Nature Publishing Group UK 2021-09-22 /pmc/articles/PMC8458339/ /pubmed/34552073 http://dx.doi.org/10.1038/s41467-021-25738-6 Text en © The Author(s) 2021, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Wen Pacheco, Diogo Yang, Kai-Cheng Menczer, Filippo Neutral bots probe political bias on social media |
title | Neutral bots probe political bias on social media |
title_full | Neutral bots probe political bias on social media |
title_fullStr | Neutral bots probe political bias on social media |
title_full_unstemmed | Neutral bots probe political bias on social media |
title_short | Neutral bots probe political bias on social media |
title_sort | neutral bots probe political bias on social media |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458339/ https://www.ncbi.nlm.nih.gov/pubmed/34552073 http://dx.doi.org/10.1038/s41467-021-25738-6 |
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