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Mar 4, 2025 ... People learn about movements and what they are fighting for from the media. And whether the movement comes off as worthy, as dangerous, or as ... Specifically, message endorsements reinforce pre-existing attitudes, thereby increasing opinion polarization. The effect appears concentrated on a minority of ... Using Machine Theory of Mind to Learn Agent Social Network Structures from Observed Interactive Behaviors with Targets. Abstract: Human social interactions are ... Teenagers' use of OSNs contributes to the development of a social skill—theory of mind (ToM)—which helps them interpret advertisements and detect deceptive ... Apr 13, 2018 ... Since the recent Facebook privacy fiasco a lot of alternatives started to pop-out in the news. One of them is minds.com. I never heard about it ... Yesterday, I realized that because of filtering on my preferred social media account (Mastodon), I was only seeing about 5% of the posts being shared by the ... Feb 1, 2020 ... Minds is an open-source and decentralized social network for Internet freedom, where users earn crypto tokens for their contributions to the ... Which cascade is more decisive in rumor detection on social media: Based on comparison between repost and reply sequences · Proposing CSRD, a rumor detection ... Dec 8, 2017 ... Users could also consider whether personal reasons are making them vulnerable to problematic use. Factors that predict excessive use include an ... Dec 13, 2021 ... We review research that combines network structure with psychological and neural experiments and modelling to understand how the topology of social networks ...