TY - JOUR
T1 - Network segregation in a model of misinformation and fact-checking
AU - Tambuscio, Marcella
AU - Oliveira, Diego F.M.
AU - Ciampaglia, Giovanni Luca
AU - Ruffo, Giancarlo
N1 - Publisher Copyright:
© 2018, Springer Nature Singapore Pte Ltd.
PY - 2018/9
Y1 - 2018/9
N2 - 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.
AB - 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.
KW - Agent-based modeling
KW - Fact-checking
KW - Information diffusion
KW - Misinformation
KW - Network segregation
UR - http://www.scopus.com/inward/record.url?scp=85126034164&partnerID=8YFLogxK
U2 - 10.1007/s42001-018-0018-9
DO - 10.1007/s42001-018-0018-9
M3 - Article
SN - 2432-2717
VL - 1
SP - 261
EP - 275
JO - Journal of Computational Social Science
JF - Journal of Computational Social Science
IS - 2
ER -