{"_id":"17097","extern":"1","language":[{"iso":"eng"}],"year":"2018","status":"public","author":[{"last_name":"Bösch","full_name":"Bösch, Kevin","first_name":"Kevin"},{"id":"72849","first_name":"Oliver","full_name":"Müller, Oliver","last_name":"Müller"},{"first_name":"Johannes","last_name":"Schneider","full_name":"Schneider, Johannes"}],"date_updated":"2022-08-17T07:21:53Z","publication":"European Conference on Information Systems","date_created":"2020-06-17T10:11:52Z","title":"Emotional contagion through online newspapers","type":"conference","citation":{"apa":"Bösch, K., Müller, O., &#38; Schneider, J. (2018). Emotional contagion through online newspapers. <i>European Conference on Information Systems</i>.","ama":"Bösch K, Müller O, Schneider J. Emotional contagion through online newspapers. In: <i>European Conference on Information Systems</i>. ; 2018.","chicago":"Bösch, Kevin, Oliver Müller, and Johannes Schneider. “Emotional Contagion through Online Newspapers.” In <i>European Conference on Information Systems</i>, 2018.","ieee":"K. Bösch, O. Müller, and J. Schneider, “Emotional contagion through online newspapers,” 2018.","bibtex":"@inproceedings{Bösch_Müller_Schneider_2018, title={Emotional contagion through online newspapers}, booktitle={European Conference on Information Systems}, author={Bösch, Kevin and Müller, Oliver and Schneider, Johannes}, year={2018} }","mla":"Bösch, Kevin, et al. “Emotional Contagion through Online Newspapers.” <i>European Conference on Information Systems</i>, 2018.","short":"K. Bösch, O. Müller, J. Schneider, in: European Conference on Information Systems, 2018."},"user_id":"72849","department":[{"_id":"196"}],"abstract":[{"text":"Emotions spread through online and offline social networks and subsequently influence individuals’ decisions and behaviours. Empirical studies on emotional contagion are almost non-existent in infor-mation systems research, leaving a gap in understanding how individuals are affected by emotions ex-pressed in online sources. Online newspaper articles and the associated readers’ comments provide a rich and mostly unfiltered data source that is utilized in this work to identify emotional contagion effects between newspaper publishers and its readers. By applying lexicon-based sentiment analysis and multi-level linear regression models to 1,151 online newspaper articles and 28,948 associated readers' com-ments, we model the relationships between sentiments in newspaper articles and comments. The results provide empirical support for emotional contagion effects between emotions expressed in online news-paper articles and emotions expressed in readers' comments. Linguistic, psychological and methodo-logical limitations are considered and discussed.","lang":"eng"}],"main_file_link":[{"url":"https://aisel.aisnet.org/ecis2018_rp/171/"}]}