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The authors offer insights into factors contributing to the spread of misinformation accusations on social media platforms.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The authors use a corpus of 234,556 tweets about the 2020\u00a0US presidential election (Study 1) and 99,032 tweets about the 2022\u00a0US midterm elections (Study 2) to show how the sharing of misinformation accusations is explained by locomotion orientation.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The study findings indicate that the sharing of misinformation accusations is explained by writers' lower locomotion orientation, which is amplified among liberal tweet writers.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title><jats:p>Practitioners and policymakers can use the study findings to track and reduce the spread of misinformation accusations by developing algorithms to analyze the language of posts. A limitation of this research is that it focuses on political misinformation accusations. Future research in different contexts, such as vaccines, would be pertinent.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>The authors show how social media firms can identify messages containing misinformation accusations with the potential to become viral by considering the tweet writer's locomotion language and geographical data.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Social implications<\/jats:title><jats:p>Early identification of messages containing misinformation accusations can help to improve the quality of the political conversation and electoral decision-making.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>Strategies used by social media platforms to identify misinformation lack scale and perform poorly, making it important for social media platforms to manage misinformation accusations in an effort to retain trust. The authors identify linguistic and geographical factors that drive misinformation accusation retweets.<\/jats:p><\/jats:sec>","DOI":"10.1108\/intr-07-2022-0572","type":"journal-article","created":{"date-parts":[[2023,9,19]],"date-time":"2023-09-19T23:58:21Z","timestamp":1695167901000},"page":"1907-1927","source":"Crossref","is-referenced-by-count":9,"title":["You are lying! 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