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.

Science vs Conspiracy: Collective Narratives in the Age of Misinformation

Coletto M;Scala A;Caldarelli G;
2015

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.
2015
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Istituto dei Sistemi Complessi - ISC
Inglese
10
2
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118093
Sì, ma tipo non specificato
Viral Misinformation
Published: February 23, 2015 - article n. e0118093
3
info:eu-repo/semantics/article
262
Bessi A.; Coletto M.; Davidescu G. A.; Scala A.; Caldarelli G.; Quattrociocchi W.
01 Contributo su Rivista::01.01 Articolo in rivista
open
   Foundational Research on MULTIlevel comPLEX networks and systems
   MULTIPLEX
   FP7
   317532

   Financial Systems Simulation and Policy Modelling
   SIMPOL
   FP7
   610704
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/281082
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