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The Presence of Unexpected Biases in Online Fact-checking

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Title
The Presence of Unexpected Biases in Online Fact-checking
Author(s)
Sungkyu Park; Jeong-han Kang; Jaimie Yejean Park; Meeyoung Cha
Publication Date
2021-01
Journal
Harvard Kennedy School Misinformation Review, v.2, no.1, pp.1 - 11
Publisher
Harvard Kennedy School
Abstract
The increasing amount of information online makes it challenging to judge what to believe or discredit. Fact-checking unverified claims shared on platforms, like social media, can play a critical role in correcting misbeliefs. The current study demonstrates how the effect of fact-checking can vary by several factors. We show that fact-checking helps self-correct one's views among young adults. However, this effect is weaker for individuals who perceived the claim negatively at first. Furthermore, borderline messages like “Lack of Evidence” can be perceived as false rather than neutral. We explain these biases via human cognitive mechanisms that avoid risk and uncertainty.
URI
https://pr.ibs.re.kr/handle/8788114/15297
DOI
10.37016/mr-2020-53
ISSN
2766-1652
Appears in Collections:
Pioneer Research Center for Mathematical and Computational Sciences(수리 및 계산과학 연구단) > Data Science Group(데이터 사이언스 그룹) > 1. Journal Papers (저널논문)
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