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Human-algorithm interactions help explain the spread of misinformation
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DOI：10.1016/j.copsyc.2023.101770.png)
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摘要
En 中文
Human attention biases toward moral and emotional information are as prevalent online as they are offline. When these biases interact with content algorithms that curate social media users' news feeds to maximize attentional capture, moral and emotional information are privileged in the online information ecosystem. We review evidence for these human-algorithm interactions and argue that misinformation exploits this process to spread online. This framework suggests that interventions aimed at combating misinformation require a dualpronged approach that combines person-centered and designcentered interventions to be most effective. We suggest several avenues for research in the psychological study of misinformation sharing under a framework of human-algorithm interaction.
Keyword:
MORALIZED CONTENT
NEGATIVITY BIAS
SOCIAL MEDIA
NEWS
TRANSMISSION
DIFFUSION
ATTENTION
EVOLUTION
EMOTIONS
OUTRAGE
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6.9
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3.2K
被引数:
1.4W
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