{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T07:56:00Z","timestamp":1767772560266,"version":"3.41.2"},"reference-count":42,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T00:00:00Z","timestamp":1608854400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AJIM"],"published-print":{"date-parts":[[2020,12,25]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of the paper is to analyse the interactions of bridging users in Twitter discussions about vaccination.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>Conversational threads were collected through filtering the Twitter stream using keywords and the most active participants in the conversations. Following data collection and anonymisation of tweets and user profiles, a retweet network was created to find users bridging the main clusters. Four conversations were selected, ranging from 456 to 1,983 tweets long, and then analysed through content analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>Although different opinions met in the discussions, a consensus was rarely built. Many sub-threads involved insults and criticism, and participants seemed not interested in shifting their positions. However, examples of reasoned discussions were also found.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The study analyses conversations on Twitter, which is rarely studied. The focus on the interactions of bridging users adds to the uniqueness of the paper.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ajim-05-2020-0154","type":"journal-article","created":{"date-parts":[[2020,12,24]],"date-time":"2020-12-24T09:18:01Z","timestamp":1608801481000},"page":"129-143","source":"Crossref","is-referenced-by-count":3,"title":["Bridging polarised Twitter discussions: the interactions of the users in the middle"],"prefix":"10.1108","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0659-4754","authenticated-orcid":false,"given":"David Gunnarsson","family":"Lorentzen","sequence":"first","affiliation":[]}],"member":"140","reference":[{"issue":"37","key":"key2021022303513817300_ref001","doi-asserted-by":"crossref","first-page":"9216","DOI":"10.1073\/pnas.1804840115","article-title":"Exposure to opposing views on social media can increase political polarization","volume":"115","year":"2018","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"10","key":"key2021022303513817300_ref002","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.2105\/AJPH.2018.304567","article-title":"Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate","volume":"108","year":"2018","journal-title":"American Journal of Public Health"},{"issue":"5","key":"key2021022303513817300_ref003","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1080\/1369118X.2013.782328","article-title":"Political networks on Twitter","volume":"16","year":"2013","journal-title":"Information, Communication and Society"},{"issue":"2","key":"key2021022303513817300_ref004","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1086\/421787","article-title":"Structural holes and good ideas","volume":"110","year":"2004","journal-title":"American Journal of Sociology"},{"unstructured":"Cossard, A., De Francisci, G. and Kalimeri, K. 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