Abstract

The large availability of user provided contents on online social media facilitates people aggregation around shared beliefs, interests, worldviews and narratives. In spite of the enthusiastic rhetoric about the so called collective intelligence unsubstantiated rumors and conspiracy theories-e.g., chemtrails, reptilians or the Illuminati-are pervasive in online social networks (OSN). In this work we study, on a sample of 1.2 million of individuals, how information related to very distinct narratives-i.e. main stream scientific and conspiracy news-are consumed and shape communities on Facebook. Our results show that polarized communities emerge around distinct types of contents and usual consumers of conspiracy news result to be more focused and self-contained on their specific contents. To test potential biases induced by the continued exposure to unsubstantiated rumors on users' content selection, we conclude our analysis measuring how users respond to 4,709 troll information-i.e. parodistic and sarcastic imitation of conspiracy theories. We find that 77.92% of likes and 80.86% of comments are from users usually interacting with conspiracy stories.

Keywords

MisinformationNarrativeSocial mediaImitationCollective intelligenceFake newsRhetoricInternet privacyDisinformationSocial psychologyMedia studiesSociologyPsychologyComputer scienceWorld Wide WebLiteratureComputer security

MeSH Terms

CommunicationHumansNarrationScienceSocial MediaSocial Networking

Affiliated Institutions

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Publication Info

Year
2015
Type
article
Volume
10
Issue
2
Pages
e0118093-e0118093
Citations
636
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

636
OpenAlex
22
Influential
393
CrossRef

Cite This

Alessandro Bessi, Mauro Coletto, George Alexandru Davidescu et al. (2015). Science vs Conspiracy: Collective Narratives in the Age of Misinformation. PLoS ONE , 10 (2) , e0118093-e0118093. https://doi.org/10.1371/journal.pone.0118093

Identifiers

DOI
10.1371/journal.pone.0118093
PMID
25706981
PMCID
PMC4338055
arXiv
1408.1667

Data Quality

Data completeness: 88%