Hashtags as signals of political identity: #BlackLivesMatter and #AllLivesMatter
We investigate perceptions of tweets marked with the #BlackLivesMatter and #AllLivesMatter hashtags, as well as how the presence or absence of those hashtags changed the meaning and subsequent interpretation of tweets in U.S. participants. We found a strong effect of partisanship on perceptions of t...
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description | We investigate perceptions of tweets marked with the #BlackLivesMatter and #AllLivesMatter hashtags, as well as how the presence or absence of those hashtags changed the meaning and subsequent interpretation of tweets in U.S. participants. We found a strong effect of partisanship on perceptions of the tweets, such that participants on the political left were more likely to view #AllLivesMatter tweets as racist and offensive, while participants on the political right were more likely to view #BlackLivesMatter tweets as racist and offensive. Moreover, we found that political identity explained evaluation results far better than other measured demographics. Additionally, to assess the influence of hashtags themselves, we removed them from tweets in which they originally appeared and added them to selected neutral tweets. Our results have implications for our understanding of how social identity, and particularly political identity, shapes how individuals perceive and engage with the world. |
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We found a strong effect of partisanship on perceptions of the tweets, such that participants on the political left were more likely to view #AllLivesMatter tweets as racist and offensive, while participants on the political right were more likely to view #BlackLivesMatter tweets as racist and offensive. Moreover, we found that political identity explained evaluation results far better than other measured demographics. Additionally, to assess the influence of hashtags themselves, we removed them from tweets in which they originally appeared and added them to selected neutral tweets. Our results have implications for our understanding of how social identity, and particularly political identity, shapes how individuals perceive and engage with the world.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0286524</identifier><identifier>PMID: 37289780</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abortion ; Audiences ; Biology and Life Sciences ; Computer and Information Sciences ; Cooperation ; Criminal investigations ; Ethnic identity ; Humans ; Influence ; Information management ; Partisanship ; Perceptions ; Physical Sciences ; Political identity ; Politics ; Racism ; Research and Analysis Methods ; Sexism ; Social aspects ; Social identity ; Social Media ; Social networks ; Social Sciences ; Tagging ; Tags ; United States</subject><ispartof>PloS one, 2023-06, Vol.18 (6), p.e0286524-e0286524</ispartof><rights>Copyright: © 2023 Powell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Powell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Powell et al 2023 Powell et al</rights><rights>2023 Powell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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We found a strong effect of partisanship on perceptions of the tweets, such that participants on the political left were more likely to view #AllLivesMatter tweets as racist and offensive, while participants on the political right were more likely to view #BlackLivesMatter tweets as racist and offensive. Moreover, we found that political identity explained evaluation results far better than other measured demographics. Additionally, to assess the influence of hashtags themselves, we removed them from tweets in which they originally appeared and added them to selected neutral tweets. 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Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Powell, Maia</au><au>Kim, Arnold D</au><au>Smaldino, Paul E</au><au>Galak, Jeff</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hashtags as signals of political identity: #BlackLivesMatter and #AllLivesMatter</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-06-08</date><risdate>2023</risdate><volume>18</volume><issue>6</issue><spage>e0286524</spage><epage>e0286524</epage><pages>e0286524-e0286524</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We investigate perceptions of tweets marked with the #BlackLivesMatter and #AllLivesMatter hashtags, as well as how the presence or absence of those hashtags changed the meaning and subsequent interpretation of tweets in U.S. participants. We found a strong effect of partisanship on perceptions of the tweets, such that participants on the political left were more likely to view #AllLivesMatter tweets as racist and offensive, while participants on the political right were more likely to view #BlackLivesMatter tweets as racist and offensive. Moreover, we found that political identity explained evaluation results far better than other measured demographics. Additionally, to assess the influence of hashtags themselves, we removed them from tweets in which they originally appeared and added them to selected neutral tweets. Our results have implications for our understanding of how social identity, and particularly political identity, shapes how individuals perceive and engage with the world.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37289780</pmid><doi>10.1371/journal.pone.0286524</doi><tpages>e0286524</tpages><orcidid>https://orcid.org/0000-0002-8239-0537</orcidid><orcidid>https://orcid.org/0000-0002-8945-4038</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abortion Audiences Biology and Life Sciences Computer and Information Sciences Cooperation Criminal investigations Ethnic identity Humans Influence Information management Partisanship Perceptions Physical Sciences Political identity Politics Racism Research and Analysis Methods Sexism Social aspects Social identity Social Media Social networks Social Sciences Tagging Tags United States |
title | Hashtags as signals of political identity: #BlackLivesMatter and #AllLivesMatter |
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