A potential mechanism for low tolerance feedback loops in social media flagging systems.

ABSTRACT: Many people use social media as a primary information source, but their questionable reliability has pushed platforms to contain misinformation via crowdsourced flagging systems. Such systems, however, assume that users are impartial arbiters of truth. This assumption might be unwarranted, as users might be influenced by their own political biases and tolerance for opposing points of view, besides considering the truth value of a news item. In this paper we simulate a scenario in which users on one side of the polarity spectrum have different tolerance levels for the opinions of the other side. We create a model based on some assumptions about online news consumption, including echo chambers, selective exposure, and confirmation bias. A consequence of such a model is that news sources on t

SUBMITTER: Westermann CJ 

PROVIDER: S-EPMC9135209 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature