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Exposure to opposing views on social media can increase political polarization
There is mounting concern that social media sites contribute to political polarization by creating “echo chambers” that insulate people from opposing views about current events. We surveyed a large sample of Democrats and Republicans who visit Twitter at least three times each week about a range of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140520/ https://www.ncbi.nlm.nih.gov/pubmed/30154168 http://dx.doi.org/10.1073/pnas.1804840115 |
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author | Bail, Christopher A. Argyle, Lisa P. Brown, Taylor W. Bumpus, John P. Chen, Haohan Hunzaker, M. B. Fallin Lee, Jaemin Mann, Marcus Merhout, Friedolin Volfovsky, Alexander |
author_facet | Bail, Christopher A. Argyle, Lisa P. Brown, Taylor W. Bumpus, John P. Chen, Haohan Hunzaker, M. B. Fallin Lee, Jaemin Mann, Marcus Merhout, Friedolin Volfovsky, Alexander |
author_sort | Bail, Christopher A. |
collection | PubMed |
description | There is mounting concern that social media sites contribute to political polarization by creating “echo chambers” that insulate people from opposing views about current events. We surveyed a large sample of Democrats and Republicans who visit Twitter at least three times each week about a range of social policy issues. One week later, we randomly assigned respondents to a treatment condition in which they were offered financial incentives to follow a Twitter bot for 1 month that exposed them to messages from those with opposing political ideologies (e.g., elected officials, opinion leaders, media organizations, and nonprofit groups). Respondents were resurveyed at the end of the month to measure the effect of this treatment, and at regular intervals throughout the study period to monitor treatment compliance. We find that Republicans who followed a liberal Twitter bot became substantially more conservative posttreatment. Democrats exhibited slight increases in liberal attitudes after following a conservative Twitter bot, although these effects are not statistically significant. Notwithstanding important limitations of our study, these findings have significant implications for the interdisciplinary literature on political polarization and the emerging field of computational social science. |
format | Online Article Text |
id | pubmed-6140520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-61405202018-09-18 Exposure to opposing views on social media can increase political polarization Bail, Christopher A. Argyle, Lisa P. Brown, Taylor W. Bumpus, John P. Chen, Haohan Hunzaker, M. B. Fallin Lee, Jaemin Mann, Marcus Merhout, Friedolin Volfovsky, Alexander Proc Natl Acad Sci U S A Social Sciences There is mounting concern that social media sites contribute to political polarization by creating “echo chambers” that insulate people from opposing views about current events. We surveyed a large sample of Democrats and Republicans who visit Twitter at least three times each week about a range of social policy issues. One week later, we randomly assigned respondents to a treatment condition in which they were offered financial incentives to follow a Twitter bot for 1 month that exposed them to messages from those with opposing political ideologies (e.g., elected officials, opinion leaders, media organizations, and nonprofit groups). Respondents were resurveyed at the end of the month to measure the effect of this treatment, and at regular intervals throughout the study period to monitor treatment compliance. We find that Republicans who followed a liberal Twitter bot became substantially more conservative posttreatment. Democrats exhibited slight increases in liberal attitudes after following a conservative Twitter bot, although these effects are not statistically significant. Notwithstanding important limitations of our study, these findings have significant implications for the interdisciplinary literature on political polarization and the emerging field of computational social science. National Academy of Sciences 2018-09-11 2018-08-28 /pmc/articles/PMC6140520/ /pubmed/30154168 http://dx.doi.org/10.1073/pnas.1804840115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Bail, Christopher A. Argyle, Lisa P. Brown, Taylor W. Bumpus, John P. Chen, Haohan Hunzaker, M. B. Fallin Lee, Jaemin Mann, Marcus Merhout, Friedolin Volfovsky, Alexander Exposure to opposing views on social media can increase political polarization |
title | Exposure to opposing views on social media can increase political polarization |
title_full | Exposure to opposing views on social media can increase political polarization |
title_fullStr | Exposure to opposing views on social media can increase political polarization |
title_full_unstemmed | Exposure to opposing views on social media can increase political polarization |
title_short | Exposure to opposing views on social media can increase political polarization |
title_sort | exposure to opposing views on social media can increase political polarization |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140520/ https://www.ncbi.nlm.nih.gov/pubmed/30154168 http://dx.doi.org/10.1073/pnas.1804840115 |
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