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Parler study links social approval to online hate speech over time

A new study analyzing 110 million messages from the social media platform Parler (2018-2021) investigated how social approval influences online hate speech. The research, published on arXiv, found that upvotes on hate speech posts initially predicted a lower probability of hate in the immediate next post, but this effect reversed within a week. Similarly, upvotes on comments showed a negative immediate impact on hate speech but a positive correlation with toxicity over longer periods. The study suggests that social approval plays a role in online hate in ways that are dependent on the specific message context and time frame. AI

IMPACT This research provides insights into the dynamics of online hate speech, which could inform the development of more effective content moderation systems and AI safety protocols.

RANK_REASON Academic paper analyzing social media data. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CL →

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Parler study links social approval to online hate speech over time

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · David M. Markowitz, Samuel Hardman Taylor ·

    Testing Hypotheses from the Social Approval Theory of Online Hate: An Analysis of 110 Million Messages from Parler

    arXiv:2507.10810v3 Announce Type: replace Abstract: We examined how social approval motivates online hate via the social approval theory, which argues social approval signals on hate messages predict more hate and toxicity. Using 110 million messages from Parler (2018-2021), we o…