TY  - RPRT
ID  - publications47940
UR  - http://iast.fr/pub/128134
A1  - Deffuant, Guillaume
A1  - Keijzer, Marijn
A1  - Banisch, Sven
Y1  - 2023/06//
N2  - Worry over polarization has grown alongside the digital information consump-tion revolution. Where most scientific work considered user-generated and user-disseminated (i.e., Web 2.0) content as the culprit, the potential of purely increased access to informa-tion (or Web 1.0) has been largely overlooked. Here, we suggest that the shift to Web 1.0 alone could include a powerful mechanism of belief extremization. We study an empiri-cally calibrated persuasive argument model with confirmation bias. We compare an offline setting—in which a limited number of arguments is broadcast by traditional media—with an online setting—in which the agent can choose to watch contents within a very wide set of possibilities. In both cases, we assume that positive and negative arguments are balanced. The simulations show that the online setting leads to significantly more extreme opinions and amplifies initial prejudice.
PB  - IAST Working Paper
T3  - IAST Working Paper
KW  - Opinion dynamics
KW  - Online media
KW  - Confirmation bias
KW  - Web 1.0
KW  - Biased processing
M1  - working_paper
TI  - Regular access to constantly renewed online content favors radicalization of opinions
AV  - public
ER  -