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This paper is aimed at understanding communication strategies used by politicians and campaigns, focusing on the role of gender cues in their visual self-presentation and their impact on election outcomes. Previous research has discussed the importance of visual portrayals of leaders in campaigns. These studies, however, have been mainly based on manual coding and are limited in scale and scope. This paper aims to fill the research gap by introducing a multi task method that infers perceived gender-stereotypical visual traits from social media images. We analyze 77,861 photographs collected from the Facebook accounts of 554 US politicians who ran in the 2018 elections. Regression analyses discover the positive association of the masculinity trait for electoral outcomes. We also identify an empirical evidence that the effect of gender stereotypes could vary according to the gender and party combinations of the candidates in a race. In the intersectional analysis, we found that the win of female democrats against the same gendered opponent was positively correlated with the femininity trait score. This study provides methodological foundations and empirical contributions to the understanding of politicians\u2019 campaign behaviors via photographs shared on social media and their relation to electoral success.<\/jats:p>","DOI":"10.1140\/epjds\/s13688-023-00404-7","type":"journal-article","created":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T08:02:00Z","timestamp":1692777720000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Perceived masculinity from Facebook photographs of candidates predicts electoral success"],"prefix":"10.1140","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2913-9711","authenticated-orcid":false,"given":"Kunwoo","family":"Park","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4707-8919","authenticated-orcid":false,"given":"Jungseock","family":"Joo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,23]]},"reference":[{"key":"404_CR1","unstructured":"Newman N, Fletcher R, Schulz A, Andi S, Robertson CT, Nielsen RK (2021) Reuters institute digital news report 2021. 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