A team of behavioral scientists using big data and a simulation-based model to analyze social media “tweets” around the 2020 presidential election found that the spread of voter fraud conspiracy theories on Twitter (now called X) was boosted by a negativity bias. Led by Mason Youngblood, Ph.D., a post-doctoral fellow in the Institute for Advanced Computational Science at Stony Brook University, the findings are published in Humanities and Social Sciences Communications.
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Source: Phys.org