2022
DOI: 10.3389/fpsyg.2022.941640
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Why do people resist algorithms? From the perspective of short video usage motivations

Abstract: Algorithms embedded in media applications increasingly influence individuals’ media practice and behavioral decisions. However, it is also important to consider how the influence of such algorithms can be resisted. Few studies have explored the resistant outcomes of the interactions with algorithms. Based on an affordance perspective, this study constructed a formation framework of algorithmic resistance in the context of short videos in China. Survey responses from 2,000 short video users to test the model. E… Show more

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Cited by 3 publications
(1 citation statement)
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References 66 publications
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“…Additionally, if users doubt the credibility of the news content and believe it includes political bias (Skovsgaard and Anderson, 2020), they will intentionally avoid it (Aharoni et al, 2021;Chan et al, 2021). Shortform video platforms use sophisticated algorithms that intelligently curate content based on users' preferences, influencing their media consumption habits and behavioral choices (Xie et al, 2022). Although some studies have noted that algorithms are instructed to push only relevant content to users (Thorson and Wells, 2016), which may limit users from intentionally avoiding content, this study argues that it can still lead to intentional avoidance.…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%
“…Additionally, if users doubt the credibility of the news content and believe it includes political bias (Skovsgaard and Anderson, 2020), they will intentionally avoid it (Aharoni et al, 2021;Chan et al, 2021). Shortform video platforms use sophisticated algorithms that intelligently curate content based on users' preferences, influencing their media consumption habits and behavioral choices (Xie et al, 2022). Although some studies have noted that algorithms are instructed to push only relevant content to users (Thorson and Wells, 2016), which may limit users from intentionally avoiding content, this study argues that it can still lead to intentional avoidance.…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%