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- W3125462688 abstract "The echo chamber, a condition where people are only surrounded by similar opinions, in the social networking system (SNS) has become a topic of interest as of recently. There has been much research on the topic, but there are conflicting accounts on how prevalent they are. Some evidence shows that echo chambers are ubiquitous on the internet based on the prevalence of selective information sharing among SNS users. Other researchers argue that only a small segment of the population see themselves to be in an echo chamber based on survey results. We develop a model to explore the conditions that could connect the two counter-intuitive observations of the echo chamber. We use the reinterpretation of the Zaller model of public opinion using an agent-based model (ABM) framework to take into account how people convert political information into public opinion. We find that the two observations can coexist under the condition that the society has a balanced proportion of people's political predisposition among others. The findings also suggest that well-balanced media could play a role in moderating the echo chamber in society." @default.
- W3125462688 created "2021-02-01" @default.
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- W3125462688 date "2020-12-05" @default.
- W3125462688 modified "2023-10-14" @default.
- W3125462688 title "Agent-Based Approach to Resolve the Conflicting Observations of Online Echo Chamber" @default.
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- W3125462688 doi "https://doi.org/10.1109/scisisis50064.2020.9322696" @default.
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