Analysis of large-scale social and information networks

Kleinberg, Jon

doi:10.1098/rsta.2012.0378

Cited by 31 publications

(20 citation statements)

References 32 publications

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“…The process of acceptance of a claim (whether documented or not) may be altered by normative social influence or by the coherence with the system of beliefs of the individual [27,28]. A large body of literature addresses the study of social dynamics on socio-technical systems from social contagion up to social reinforcement [6,7,[29][30][31][32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Trend of Narratives in the Age of Misinformation

et al. 2015

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Social media enabled a direct path from producer to consumer of contents changing the way users get informed, debate, and shape their worldviews. Such a disintermediation might weaken consensus on social relevant issues in favor of rumors, mistrust, or conspiracy thinking—e.g., chem-trails inducing global warming, the link between vaccines and autism, or the New World Order conspiracy. Previous studies pointed out that consumers of conspiracy-like content are likely to aggregate in homophile clusters—i.e., echo-chambers. Along this path we study, by means of a thorough quantitative analysis, how different topics are consumed inside the conspiracy echo-chamber in the Italian Facebook. Through a semi-automatic topic extraction strategy, we show that the most consumed contents semantically refer to four specific categories: environment, diet, health, and geopolitics. We find similar consumption patterns by comparing users activity (likes and comments) on posts belonging to these different semantic categories. Finally, we model users mobility across the distinct topics finding that the more a user is active, the more he is likely to span on all categories. Once inside a conspiracy narrative users tend to embrace the overall corpus.

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Section: Introductionmentioning

confidence: 99%

Trend of Narratives in the Age of Misinformation

et al. 2015

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“…Social interaction, healthcare activity, political engagement and economic decision-making are influenced by digital hyperconnectivity -i.e. the increasing and exponential rate at which people, processes and data are connected and interdependent [7,8,9,10,11,12,13,14,15,16]. Everyone can produce and access a variety of information actively participating in the arXiv:1409.2651v1 [cs.SI] 9 Sep 2014 diffusion and reinforcement of narratives.…”

Section: Introductionmentioning

confidence: 99%

Social Determinants of Content Selection in the Age of (Mis)Information

Bessi

Caldarelli

Vicario

et al. 2014

Lecture Notes in Computer Science

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Abstract. Despite the enthusiastic rhetoric about the so called collective intelligence, conspiracy theories -e.g. global warming induced by chemtrails or the link between vaccines and autism -find on the Web a natural medium for their dissemination. Users preferentially consume information according to their system of beliefs and the strife within users of opposite narratives may result in heated debates. In this work we provide a genuine example of information consumption from a sample of 1.2 million of Facebook Italian users. We show by means of a thorough quantitative analysis that information supporting different worldviews -i.e. scientific and conspiracist news -are consumed in a comparable way by their respective users. Moreover, we measure the effect of the exposure to 4709 evidently false information (satirical version of conspiracy theses) and to 4502 debunking memes (information aiming at contrasting unsubstantiated rumors) of the most polarized users of conspiracy claims. We find that either contrasting or teasing consumers of conspiracy narratives increases their probability to interact again with unsubstantiated rumors.

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“…A large body of literature addresses the study of social dynamics on socio-technical systems from social contagion up to social reinforcement [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]. Among these, one of the most defining topic of computational social science is the understanding of driving forces behind the popularity of contents [23].…”

Section: Background and Related Workmentioning

confidence: 99%

Everyday the Same Picture: Popularity and Content Diversity

Bessi

Zollo

Vicario

et al. 2017

Complex Networks VIII

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Facebook is flooded by diverse and heterogeneous content, from kittens up to music and news, passing through satirical and funny stories. Each piece of that corpus reflects the heterogeneity of the underlying social background. In the Italian Facebook we have found an interesting case: a page having more than 40K followers that every day posts the same picture of a popular Italian singer. In this work, we use such a page as a control to study and model the relationship between content heterogeneity on popularity. In particular, we use that page for a comparative analysis of information consumption patterns with respect to pages posting science and conspiracy news. In total, we analyze about 2M likes and 190K comments, made by approximately 340K and 65K users, respectively. We conclude the paper by introducing a model mimicking users selection preferences accounting for the heterogeneity of contents.

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Analysis of large-scale social and information networks

Cited by 31 publications

References 32 publications

Trend of Narratives in the Age of Misinformation

Trend of Narratives in the Age of Misinformation

Social Determinants of Content Selection in the Age of (Mis)Information

Everyday the Same Picture: Popularity and Content Diversity

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