{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:10:26Z","timestamp":1770739826628,"version":"3.49.0"},"reference-count":31,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Big Data &amp; Society"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p> In this exploratory study, we examine political polarization regarding the online discussion of the COVID-19 pandemic. We use data from Reddit to explore the differences in the topics emphasized by different subreddits according to political ideology. We also examine whether there are systematic differences in the credibility of sources shared by the subscribers of subreddits that vary by ideology, and in the tendency to share information from sources implicated in spreading COVID-19 misinformation. Our results show polarization in topics of discussion: the Trump, White House, and economic relief topics are statistically more prominent in liberal subreddits, and China and deaths topics are more prominent in conservative subreddits. There are also significant differences between liberal and conservative subreddits in their preferences for news sources. Liberal subreddits share and discuss articles from more credible news sources than conservative subreddits, and conservative subreddits are more likely than liberal subreddits to share articles from sites flagged for publishing COVID-19 misinformation. <\/jats:p>","DOI":"10.1177\/20539517221076486","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T10:05:15Z","timestamp":1646820315000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["Ideological variation in preferred content and source credibility on Reddit during  the COVID-19 pandemic"],"prefix":"10.1177","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3980-4861","authenticated-orcid":false,"given":"Wallace","family":"Chipidza","sequence":"first","affiliation":[{"name":"Center for Information Systems and Technology, Claremont Graduate University, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1286-1778","authenticated-orcid":false,"given":"Christopher","family":"Krewson","sequence":"additional","affiliation":[{"name":"Political Science Department, Brigham Young University, Provo, Utah, USA"}]},{"given":"Nicole","family":"Gatto","sequence":"additional","affiliation":[{"name":"School of Community and Global Health, Claremont Graduate University, California, USA"}]},{"given":"Elmira","family":"Akbaripourdibazar","sequence":"additional","affiliation":[{"name":"Center for Information Systems and Technology, Claremont Graduate University, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2110-3530","authenticated-orcid":false,"given":"Tendai","family":"Gwanzura","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Florida International University, Miami, USA"}]}],"member":"179","published-online":{"date-parts":[[2022,3,9]]},"reference":[{"key":"bibr1-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1257\/jep.31.2.211"},{"key":"bibr2-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1017\/S003329172000224X"},{"key":"bibr3-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1080\/19312458.2016.1150973"},{"key":"bibr4-20539517221076486","unstructured":"Au H, Bright J, Howard PN (2020) Social media misinformation about the WHO."},{"key":"bibr5-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1215\/03616878-1460569"},{"key":"bibr6-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpubeco.2013.02.006"},{"key":"bibr7-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858516"},{"key":"bibr8-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocon.2018.01.029"},{"key":"bibr9-20539517221076486","doi-asserted-by":"publisher","DOI":"10.5195\/jmla.2017.108"},{"key":"bibr10-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1177\/1461444820958123"},{"key":"bibr11-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1093\/eurpub\/ckx152"},{"key":"bibr12-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1177\/20539517211013843"},{"key":"bibr14-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1177\/1461444815608807"},{"key":"bibr15-20539517221076486","doi-asserted-by":"publisher","DOI":"10.36370\/tto.2019.3"},{"key":"bibr16-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1177\/0093650215613136"},{"key":"bibr17-20539517221076486","doi-asserted-by":"publisher","DOI":"10.1007\/s00146-017-0712-9"},{"key":"bibr18-20539517221076486","volume-title":"Proceedings of the conference on empirical methods in natural language processing","author":"Mimno D","year":"2011"},{"key":"bibr19-20539517221076486","unstructured":"Pew Research Center (2019) Key findings about the online news landscape in America. 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