Hate in the Time of Algorithms: Evidence on Online Behavior from a Large-Scale Experiment

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1. Verfasser: Kalra, Aarushi
Format: Preprint
Veröffentlicht: 2025
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author Kalra, Aarushi
author_facet Kalra, Aarushi
contents Social media algorithms are thought to amplify variation in user beliefs, thus contributing to radicalization. However, quantitative evidence on how algorithms and user preferences jointly shape harmful online engagement is limited. I conduct an individually randomized experiment with 8 million users of an Indian TikTok-like platform, replacing algorithmic ranking with random content delivery. Exposure to "toxic" posts decreases by 27%, mainly due to reduced platform usage by users with higher interest in such content. Strikingly, these users increase engagement with toxic posts they find. Survey evidence indicates shifts to other platforms. Model-based counterfactuals highlight the limitations of blanket algorithmic regulation.
format Preprint
id arxiv_https___arxiv_org_abs_2503_06244
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Hate in the Time of Algorithms: Evidence on Online Behavior from a Large-Scale Experiment
Kalra, Aarushi
General Economics
Economics
Social media algorithms are thought to amplify variation in user beliefs, thus contributing to radicalization. However, quantitative evidence on how algorithms and user preferences jointly shape harmful online engagement is limited. I conduct an individually randomized experiment with 8 million users of an Indian TikTok-like platform, replacing algorithmic ranking with random content delivery. Exposure to "toxic" posts decreases by 27%, mainly due to reduced platform usage by users with higher interest in such content. Strikingly, these users increase engagement with toxic posts they find. Survey evidence indicates shifts to other platforms. Model-based counterfactuals highlight the limitations of blanket algorithmic regulation.
title Hate in the Time of Algorithms: Evidence on Online Behavior from a Large-Scale Experiment
topic General Economics
Economics
url https://arxiv.org/abs/2503.06244