期刊
COMPUTERS IN HUMAN BEHAVIOR
卷 51, 期 -, 页码 1198-1204出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chb.2015.01.024
关键词
Misinformation; Collective narratives; Online social network
资金
- IMT Lucca Institute for Advanced Studies, Northeastern University
- EU FET project MULTIPLEX [317532]
In this work we study, on a sample of 2.3 million individuals, how Facebook users consumed different information at the edge of political discussion and news during the last Italian electoral competition. Pages are categorized, according to their topics and the communities of interests they pertain to, in (a) alternative information sources (diffusing topics that are neglected by science and main stream media); (b) online political activism; and (c) main stream media. We show that attention patterns are similar despite the different qualitative nature of the information, meaning that unsubstantiated claims (mainly conspiracy theories) reverberate for as long as other information. Finally, we classify users according to their interaction patterns among the different topics and measure how they responded to the injection of 2788 false information. Our analysis reveals that users which are prominently interacting with conspiracists information sources are more prone to interact with intentional false claims. (C) 2015 Elsevier Ltd. All rights reserved.
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