2021
DOI: 10.18564/jasss.4566
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Cascades Across Networks Are Sufficient for the Formation of Echo Chambers: An Agent-Based Model

Abstract: Investigating how echo chambers emerge in social networks is increasingly crucial, given their role in facilitating the retention of misinformation, inducing intolerance towards opposing views, and misleading public and political discourse. Previously, the emergence of echo chambers has been attributed to psychological biases and inter-individual di erences, requiring repeated interactions among network-users and rewiring or pruning of social ties. Using an idealised population of social network users, the pre… Show more

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Cited by 9 publications
(4 citation statements)
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“…This has been demonstrated through a model that shows how echo chambers can be made stronger through social, societal, and technological means (Geschke et al, 2019). However, one recently developed model suggests that a simple sharing mechanism based on credibility among other users is enough to produce an echo chamber phenomenon without the need of special conditions (Fränken & Pilditch, 2021). Nevertheless, the evidence of the platform's influence in influencing one's opinion cannot be ignored.…”
Section: Modelling Vaccination Opinion Formation On Facebookmentioning
confidence: 99%
“…This has been demonstrated through a model that shows how echo chambers can be made stronger through social, societal, and technological means (Geschke et al, 2019). However, one recently developed model suggests that a simple sharing mechanism based on credibility among other users is enough to produce an echo chamber phenomenon without the need of special conditions (Fränken & Pilditch, 2021). Nevertheless, the evidence of the platform's influence in influencing one's opinion cannot be ignored.…”
Section: Modelling Vaccination Opinion Formation On Facebookmentioning
confidence: 99%
“…To test how psychological inoculations may impact these complex and dynamic information systems, we integrate inoculation theory within an ABM. Previous work has used ABMs to explore belief diffusion [ 53 ], cascading effects [ 19 ], echo-chamber formation [ 17 , 51 ], micro-targeting [ 54 , 55 ], how climate change scepticism can spread in social networks [ 56 ] and emergent polarization [ 57 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, while the principle of cognitive inoculation has been shown to be effective at conferring psychological resistance against misinformation at the individual level, for example in the context of COVID-19 [13], political disinformation [14] and climate change [15], a crucial open question with significant theoretical and applied importance is to what extent 'psychological herd immunity' against misinformation is feasible [13,16]. To address this challenge, we integrate inoculation theory within an agent-based model (ABM) to explore the effects of applying psychological inoculation on the spread of misinformation, belief polarization and the formation of echo chambers [17][18][19]. ABMs allow for implementation of cognitive, social and structural elements related to the spread of misinformation and enable researchers to test the effectiveness of the inoculation model on a societal scale.…”
Section: Introductionmentioning
confidence: 99%
“…Some studies were concerned with the factors contributing to the formation of echo chambers and the reasons why people fall into them. Some micro-factors have been found to be influential, such as automatic systems, that is, recommender algorithms used on the Internet platforms (Dandekar, Goel, and Lee, 2013), confirmation bias, that is, the tendency to seek information confirming one's prior beliefs (Franken and Pilditch, 2021;Mynatt, Doherty, and Tweney, 1978;Nickerson, 1998), cognitive dissonance, that is, the pressure to reduce distress caused by different views (Barkun, 2013;Festinger, 1957;Sear and Freeman, 1971), and homophily, that is, people of similar values, attitudes, beliefs, and status flock together (McPherson, Smith-Lovin, and Cook, 2001;Zafarani, Abbasi, and Liu, 2014). Some macro-factors have also been found to have impact on the formation of echo chambers.…”
Section: Introductionmentioning
confidence: 99%