Del Vicario, M., Bessi, A., & Zollo, F. (2016). The spreading of misinformation online (Vol. 113, pp. 201517441–559). Presented at the Proceedings of the …. http://doi.org/10.1073/pnas.1517441113
Notes:
p.201517441: Whether a claim (either substantiated or not) is accepted by an individual is strongly influenced by social norms and by the claim’ ’ s coherence with the individual ’ ’s belief system– –– –i.e., con firmation bias (32, 33). Many mechanisms animate the flow of false information that generates false beliefs in an individual, which, once adopted, are rarely corrected (34– – –37). — Highlighted Jan 30, 2016
p.201517445: Users tend to aggregate in communities of interest, which causes reinforcement and fosters confirmation bias, segregation, and polarization. This comes at the expense of the quality of the information and leads to proliferation of biased narratives fomented by unsubstantiated rumors, mistrust, and paranoia. — Highlighted Jan 30, 2016
p.201517445: we show that social homogeneity is the primary driver of content diffusion, and one frequent result is the formation of homogeneous, polarized clusters. Most of the times the information is taken by a friend having the same profile (polarization)– ––i –i.e., belonging to the same echo chamber. — Highlighted Jan 30, 2016