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We also investigated the temporal dynamics of the online discussions, by studying how users\u2019 publishing behavior is related to their political alignment. Finally, we combined sentiment analysis and text mining techniques to discover the relationship between the user polarity and sentiment expressed referring to the different candidates, thus modeling political support of social media users from an emotional viewpoint.\n<\/jats:p>","DOI":"10.1007\/s13278-022-00913-9","type":"journal-article","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T03:17:37Z","timestamp":1658114257000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Analyzing voter behavior on social media during the 2020 US presidential election campaign"],"prefix":"10.1007","volume":"12","author":[{"given":"Loris","family":"Belcastro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Branda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Riccardo","family":"Cantini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7887-1314","authenticated-orcid":false,"given":"Fabrizio","family":"Marozzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Domenico","family":"Talia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paolo","family":"Trunfio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,7,18]]},"reference":[{"key":"913_CR1","doi-asserted-by":"crossref","unstructured":"Alashri S, Kandala SS, Bajaj V, Ravi R, Smith KL, Desouza KC (2016) An analysis of sentiments on facebook during the 2016 us presidential election. 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