With an emphasis on Walther’s (2024) theory, the current study examines how social approbation may fuel hate speech online: (H1a) More hate posts result from more people approving hate messages, and (H1b) More people approving hate speech makes it more intense. The study, which examined more than 110 million Parler posts between 2018 and 2021, discovered no connection between hate post upvotes and subsequent hate postings across different time periods. Although the impacts differed over time, between-person analysis revealed a generally unfavorable association between hate speech and social approbation at the post level. These findings imply that social approval reinforcement can work differently on specialized platforms such as Parler. https://arxiv.org/abs/2507.10810 Share this: Click to print (Opens in new window) Print Click to share on Facebook (Opens in new window) Facebook Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Reddit (Opens in new window) Reddit Click to share on WhatsApp (Opens in new window) WhatsApp Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Like this:Like Loading... Post navigation Negative Feedback Fuels Hate Speech: A Deep Learning Analysis of 25 Million News Comments (Journalism Research News) Towards Explainable Hate Speech Detection (ACl Anthology)