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Addressing the concern that media use facilitates polarization, this study investigated whether social and traditional media use for COVID-19 information attenuates or reinforces existing disparities. This article focuses on two important areas where the public is highly polarized: partisan affect and vaccine attitudes. Contradicting the filter bubble claim, our survey ( n\u2009=\u20091106) revealed that social media use made people less polarized in both partisan affect and vaccine hesitancy. In contrast, traditional media use made people more polarized in partisan affect. These findings corroborate the growing evidence that social media provide diverse viewpoints and incidental learning.<\/jats:p>","DOI":"10.1177\/14614448221099591","type":"journal-article","created":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T06:29:38Z","timestamp":1655101778000},"page":"3370-3389","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":33,"title":["Can we blame social media for polarization? Counter-evidence against filter bubble claims during the COVID-19 pandemic"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3935-7421","authenticated-orcid":false,"given":"S Mo","family":"Jones-Jang","sequence":"first","affiliation":[{"name":"Boston College, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Myojung","family":"Chung","sequence":"additional","affiliation":[{"name":"Northeastern University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2022,6,13]]},"reference":[{"key":"bibr1-14614448221099591","unstructured":"American Community Survey (2017) Comparing 2017 American community survey data. 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