Network segregation in a model of misinformation and fact-checking

Marcella Tambuscio, Diego F.M. Oliveira, Giovanni Luca Ciampaglia, Giancarlo Ruffo

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

Misinformation under the form of rumor, hoaxes, and conspiracy theories spreads on social media at alarming rates. One hypothesis is that, since social media are shaped by homophily, belief in misinformation may be more likely to thrive on those social circles that are segregated from the rest of the network. One possible antidote to misinformation is fact checking which, however, does not always stop rumors from spreading further, owing to selective exposure and our limited attention. What are the conditions under which factual verification are effective at containing the spreading of misinformation? Here we take into account the combination of selective exposure due to network segregation, forgetting (i.e., finite memory), and fact-checking. We consider a compartmental model of two interacting epidemic processes over a network that is segregated between gullible and skeptic users. Extensive simulation and mean-field analysis show that a more segregated network facilitates the spread of a hoax only at low forgetting rates, but has no effect when agents forget at faster rates. This finding may inform the development of mitigation techniques and raise awareness on the risks of uncontrolled misinformation online.

Lingua originaleInglese
pagine (da-a)261-275
Numero di pagine15
RivistaJournal of Computational Social Science
Volume1
Numero di pubblicazione2
DOI
Stato di pubblicazionePubblicato - set 2018
Pubblicato esternamente

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