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Web"],"published-print":{"date-parts":[[2024,2,29]]},"abstract":"<jats:p>\n            The outbreak of the COVID-19 pandemic triggered the perils of misinformation over social media. By amplifying the spreading speed and popularity of trustworthy information, influential social media users have been helping overcome the negative impacts of such flooding misinformation. In this article, we use the COVID-19 pandemic as a representative global health crisisand examine the impact of the COVID-19 pandemic on these influential users\u2019 subjective well-being (SWB), one of the most important indicators of mental health. We leverage X (formerly known as Twitter) as a representative social media platform and conduct the analysis with our collection of 37,281,824 tweets spanning almost two years. To identify influential X users, we propose a new measurement called\n            <jats:italic>user bridging performance<\/jats:italic>\n            (UBM) to evaluate the speed and wideness gain of information transmission due to their sharing. With our tweet collection, we manage to reveal the more significant mental sufferings of influential users during the COVID-19 pandemic. According to this observation, through comprehensive\n            <jats:italic>hierarchical multiple regression analysis<\/jats:italic>\n            , we are the first to discover the\n            <jats:italic>strong relationship<\/jats:italic>\n            between individual social users\u2019 subjective well-being and their bridging performance. We proceed to extend\n            <jats:italic>bridging performance<\/jats:italic>\n            from individuals to user subgroups. The new measurement allows us to conduct a subgroup analysis according to users\u2019 multilingualism and confirm the bridging role of multilingual users in the COVID-19 information propagation. We also find that multilingual users not only suffer from a much lower SWB in the pandemic, but also experienced a more significant SWB drop.\n          <\/jats:p>","DOI":"10.1145\/3635033","type":"journal-article","created":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T11:49:32Z","timestamp":1701344972000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1415-4583","authenticated-orcid":false,"given":"Ninghan","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Luxembourg, Luxembourg"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8131-5092","authenticated-orcid":false,"given":"Xihui","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Luxembourg, Luxembourg"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1226-5597","authenticated-orcid":false,"given":"Zhiqiang","family":"Zhong","sequence":"additional","affiliation":[{"name":"Faculty of Natural Sciences, Aarhus University, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4521-4112","authenticated-orcid":false,"given":"Jun","family":"Pang","sequence":"additional","affiliation":[{"name":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg"}]}],"member":"320","published-online":{"date-parts":[[2024,1,5]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"2","volume-title":"Proceedings of the 14th International Conference on Web and Social Media","author":"Agarwal Pushkal","year":"2020","unstructured":"Pushkal Agarwal, Kiran Garimella, Sagar Joglekar, Nishanth Sastry, and Gareth Tyson. 2020. 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