{"title":"Propagation Pattern as a Telltale Sign of Fake News on Social Media","authors":"Anjan Pal, A. Chua","doi":"10.1109/INFOMAN.2019.8714679","DOIUrl":null,"url":null,"abstract":"This exploratory study examines how fake news differs from real news in terms of propagation pattern on social media. It analyzed 40 news (20 fake news + 20 real news) surrounding the 2016 US presidential election that emerged on Twitter. Three major observations were made. First, fake news appeared to be posted more than real news. Second, with time, the growing volume of tweets for fake news indicated its sustainable propagation to achieve a wider reach. Third, the tweet volume of real news dropped drastically after the first day. However, it was not true for fake news. The observations are discussed in light of the related literature.","PeriodicalId":186072,"journal":{"name":"2019 5th International Conference on Information Management (ICIM)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Information Management (ICIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOMAN.2019.8714679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This exploratory study examines how fake news differs from real news in terms of propagation pattern on social media. It analyzed 40 news (20 fake news + 20 real news) surrounding the 2016 US presidential election that emerged on Twitter. Three major observations were made. First, fake news appeared to be posted more than real news. Second, with time, the growing volume of tweets for fake news indicated its sustainable propagation to achieve a wider reach. Third, the tweet volume of real news dropped drastically after the first day. However, it was not true for fake news. The observations are discussed in light of the related literature.