https://arxiv.org/abs/2304.04129 Skip to main content Cornell University We gratefully acknowledge support from the Simons Foundation and member institutions. arxiv logo > cs > arXiv:2304.04129 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Computer Science > Social and Information Networks arXiv:2304.04129 (cs) [Submitted on 9 Apr 2023] Title:Auditing Elon Musk's Impact on Hate Speech and Bots Authors:Daniel Hickey, Matheus Schmitz, Daniel Fessler, Paul Smaldino , Goran Muric, Keith Burghardt Download a PDF of the paper titled Auditing Elon Musk's Impact on Hate Speech and Bots, by Daniel Hickey and 5 other authors Download PDF Abstract: On October 27th, 2022, Elon Musk purchased Twitter, becoming its new CEO and firing many top executives in the process. Musk listed fewer restrictions on content moderation and removal of spam bots among his goals for the platform. Given findings of prior research on moderation and hate speech in online communities, the promise of less strict content moderation poses the concern that hate will rise on Twitter. We examine the levels of hate speech and prevalence of bots before and after Musk's acquisition of the platform. We find that hate speech rose dramatically upon Musk purchasing Twitter and the prevalence of most types of bots increased, while the prevalence of astroturf bots decreased. Comments: 3 figures, 1 table Subjects: Social and Information Networks (cs.SI) Cite as: arXiv:2304.04129 [cs.SI] (or arXiv:2304.04129v1 [cs.SI] for this version) https://doi.org/10.48550/arXiv.2304.04129 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Daniel Hickey [view email] [v1] Sun, 9 Apr 2023 00:49:27 UTC (1,236 KB) Full-text links: Download: Download a PDF of the paper titled Auditing Elon Musk's Impact on Hate Speech and Bots, by Daniel Hickey and 5 other authors * PDF * Other formats [by-4] Current browse context: cs.SI < prev | next > new | recent | 2304 Change to browse by: cs References & Citations * NASA ADS * Google Scholar * Semantic Scholar a export BibTeX citation Loading... BibTeX formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Mendeley logo Reddit logo ScienceWISE logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) [ ] Litmaps Toggle Litmaps (What is Litmaps?) [ ] scite.ai Toggle scite Smart Citations (What are Smart Citations?) ( ) Code, Data, Media Code, Data and Media Associated with this Article [ ] DagsHub Toggle DagsHub (What is DagsHub?) [ ] Links to Code Toggle Papers with Code (What is Papers with Code?) [ ] ScienceCast Toggle ScienceCast (What is ScienceCast?) ( ) Demos Demos [ ] Replicate Toggle Replicate (What is Replicate?) [ ] Spaces Toggle Hugging Face Spaces (What is Spaces?) ( ) Related Papers Recommenders and Search Tools [ ] Link to Influence Flower Influence Flower (What are Influence Flowers?) [ ] Connected Papers Toggle Connected Papers (What is Connected Papers?) [ ] Core recommender toggle CORE Recommender (What is CORE?) * Author * Venue * Institution * Topic ( ) About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?) * About * Help * Click here to contact arXiv Contact * Click here to subscribe Subscribe * Copyright * Privacy Policy * Web Accessibility Assistance * arXiv Operational Status Get status notifications via email or slack