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Auditing Elon Musk's Impact on Hate Speech and Bots (2304.04129v3)

Published 9 Apr 2023 in cs.SI

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.

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Citations (47)

Summary

  • The paper finds that Elon Musk's acquisition led to a significant, immediate increase in hate speech on Twitter.
  • The research reveals a rise in spam and fake follower bot activity, while astroturf bots experienced a decrease.
  • The study utilized public Twitter data, Perspective API, and Botometer, highlighting risks in current content moderation policies.

Impact of Elon Musk's Acquisition of Twitter on Hate Speech and Bot Prevalence

The research paper "Auditing Elon Musk's Impact on Hate Speech and Bots" by Hickey et al. examines the repercussions of Elon Musk's acquisition of Twitter, particularly focusing on the prevalence of hate speech and bot activity on the platform. This thorough analysis provides valuable insights into the potential implications of policy changes on a global social media platform.

Key Findings

  1. Increase in Hate Speech: Both individual and overall hate speech levels rose markedly after Musk's acquisition of Twitter. The spike was immediate and significant, with no evident return to previous norms. This suggests a potential correlation between the relaxation of content moderation policies under Musk's leadership and the increase in hate-driven interactions.
  2. Bot Activity Dynamics: The study highlights an increase in certain types of bot activity, such as spam and fake follower bots. Interestingly, astroturf bots, which are typically used for manipulating public opinion, showed a decrease. This phenomenon could be indicative of changes in bot regulatory strategies, though the paper does not establish causal links.

Methodology

The authors utilized a blend of publicly available Twitter data and sophisticated analytical tools like the Perspective API and Botometer to assess toxic content and bot prevalence. By leveraging a curated list of hate words and monitoring tweets over specified intervals, the researchers could systematically capture changes in user behavior and bot activity pre- and post-acquisition.

Implications

On a practical level, the findings raise concerns about the efficacy of content moderation and bot management on social media. If left unaddressed, the increased prevalence of hate speech could exacerbate societal issues such as online harassment and discrimination. The rise in bot activity, particularly those involved in spam and misinformation, could further erode the trust in social platforms as vehicles for genuine discourse.

On a theoretical level, this study contributes to our understanding of how management changes and policy modifications can influence the ecosystem of online platforms. It underscores the importance of transparency in algorithmic strategies and moderation policies, especially when they can have wide-reaching social impacts.

Future Directions

Future research could build upon this study by exploring the specific causal mechanisms that lead to increased hate speech and bot prevalence post-acquisition. Investigating whether similar trends are observable across other platforms undergoing leadership changes would also be insightful. Furthermore, examining the effectiveness of different bot-mitigation strategies in a controlled environment could inform more robust moderation policies in the future.

In conclusion, the paper provides a nuanced examination of how leadership transitions in major tech companies can reshape the landscape of online interactions. It serves as a critical resource for stakeholders aiming to balance free expression with the need for responsible platform governance.

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