{"title":"What makes audiences resilient to disinformation? Integrating micro, meso, and macro factors based on a systematic literature review","authors":"Jülide Kont, Wim Elving, Marcel Broersma, Çiğdem Bozdağ","doi":"10.1515/commun-2023-0078","DOIUrl":null,"url":null,"abstract":"\n Despite increased attention since 2015, there is little consensus on why audiences believe or share disinformation. In our study, we propose a shift in analytical perspective by applying the concept of resilience. Through a systematic literature review (n = 95), we identify factors that have been linked to individuals’ resilience and vulnerability to disinformation thus far. Our analysis reveals twelve factors: thinking styles, political ideology, worldview and beliefs, pathologies, knowledge, emotions, (social) media use, demographics, perceived control, trust, culture, and environment. By applying the results to the socio-ecological model (SEM), we provide a comprehensive view on what constitutes resilience to disinformation, delineate between different levels of influence, and identify relevant gaps in research. Our conceptualization contributes to an under-theorized field, in which the term resilience is much used yet rarely sufficiently defined.","PeriodicalId":501361,"journal":{"name":"Communications","volume":"82 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/commun-2023-0078","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
Despite increased attention since 2015, there is little consensus on why audiences believe or share disinformation. In our study, we propose a shift in analytical perspective by applying the concept of resilience. Through a systematic literature review (n = 95), we identify factors that have been linked to individuals’ resilience and vulnerability to disinformation thus far. Our analysis reveals twelve factors: thinking styles, political ideology, worldview and beliefs, pathologies, knowledge, emotions, (social) media use, demographics, perceived control, trust, culture, and environment. By applying the results to the socio-ecological model (SEM), we provide a comprehensive view on what constitutes resilience to disinformation, delineate between different levels of influence, and identify relevant gaps in research. Our conceptualization contributes to an under-theorized field, in which the term resilience is much used yet rarely sufficiently defined.