期刊
JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE
卷 4, 期 1, 页码 381-402出版社
SPRINGERNATURE
DOI: 10.1007/s42001-020-00084-7
关键词
Echo Chamber; Opinion dynamics; Social media; Social network
资金
- JST PRESTO [JPMJPR16D6]
- JST CREST [JPMJCR17A4]
- JSPS/MEXT KAKENHI [JP19H04217, JP17H06383, 4903]
- Indiana University Network Science Institute
- DARPA [W911NF-17-C-0094]
Social media can easily lead to the formation of echo chambers, where even minimal amounts of influence and unfriending behavior can cause rapid segregation into homogeneous communities within the social network. While echo chambers may be somewhat inevitable in online social media, research also provides insights into possible mitigation strategies.
While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as echo chambers. Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both their opinions and social connections based on the information to which they are exposed through sharing. The model dynamics show that even with minimal amounts of influence and unfriending, the social network rapidly devolves into segregated, homogeneous communities. These predictions are consistent with empirical data from Twitter. Although our findings suggest that echo chambers are somewhat inevitable given the mechanisms at play in online social media, they also provide insights into possible mitigation strategies.
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