{"title":"Social Media Narratives of Covid-19 Pandemic and Misinformation","authors":"M. Habes, M. Elareshi, K. Tahat, D. Tahat","doi":"10.1109/ICCNS58795.2023.10193404","DOIUrl":null,"url":null,"abstract":"To great extent, social media becomes highly problematic for many users by sharing misinformation during early the Covid-19 outbreak. Yet, the dissemination of myths, rumors, and misinformation remained highly dominant. This paper examined the level of social media used among university students in Jordan (350 respondents), with a cross-sectional design and executed structured questionnaires for data gathering purposes. Applying the Structural Equation Modeling for statistical analysis and supported, findings indicated that social media was a strong source of both information and misinformation. It was used to gather information and share knowledge (e.g., unauthentic and unchecked information) about the outbreak. Finally, the behavioral intention indicated a strong, significant relationship with sharing unauthentic information.","PeriodicalId":158016,"journal":{"name":"2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNS58795.2023.10193404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To great extent, social media becomes highly problematic for many users by sharing misinformation during early the Covid-19 outbreak. Yet, the dissemination of myths, rumors, and misinformation remained highly dominant. This paper examined the level of social media used among university students in Jordan (350 respondents), with a cross-sectional design and executed structured questionnaires for data gathering purposes. Applying the Structural Equation Modeling for statistical analysis and supported, findings indicated that social media was a strong source of both information and misinformation. It was used to gather information and share knowledge (e.g., unauthentic and unchecked information) about the outbreak. Finally, the behavioral intention indicated a strong, significant relationship with sharing unauthentic information.