Emergent Mind

The Failed Migration of Academic Twitter

(2406.04005)
Published Jun 6, 2024 in cs.SI

Abstract

Following change in Twitter's ownership and subsequent changes to content moderation policies, many in academia looked to move their discourse elsewhere and migration to Mastodon was pursued by some. Our study looks at the dynamics of this migration. Utilizing publicly available user account data, we track the posting activity of academics on Mastodon over a one year period. Our analyses reveal significant challenges sustaining user engagement on Mastodon due to its decentralized structure as well as competition from other platforms such as Bluesky and Threads. The movement lost momentum after an initial surge of enthusiasm as most users did not maintain their activity levels, and those who did faced lower levels of engagement compared to Twitter. Our findings highlight the challenges involved in transitioning professional communities to decentralized platforms, emphasizing the need for focusing on migrating social connections for long-term user engagement.

Dynamic frequency of Twitter conversations on academics migrating to Mastodon.

Overview

  • The study 'The Failed Migration of Academic Twitter' analyzes the challenges faced by academic communities in transitioning their discourse from Twitter to Mastodon after Twitter's acquisition and policy changes, focusing particularly on user engagement and cross-platform activity over a year.

  • Key findings show an initial surge in Mastodon sign-ups followed by a steep decline in active users, with only 35.4% remaining consistently active, and disparities in engagement levels across different academic disciplines.

  • Implications suggest that successful migration to decentralized platforms hinges on cohesive community building, addressing technical challenges, and fostering network effects as well as refining governance models to sustain long-term user engagement.

The Failed Migration of Academic Twitter: A Comprehensive Analysis

Introduction

The study, "The Failed Migration of Academic Twitter," examines the dynamics and challenges faced by academic communities transitioning their discourse from Twitter to Mastodon following Twitter's acquisition and subsequent policy changes. Utilizing publicly available data, the authors track the posting activity of academic users on Mastodon over a one-year period. The results highlight significant difficulties in maintaining user engagement on the decentralized platform. This essay explores the paper's key findings and their implications for the future of decentralized social platforms within professional communities.

Research Questions and Methodology

The study aimed to address the following research questions:

  1. To what extent were academics engaged in the migration from Twitter to Mastodon, and how can the success or failure of this migration be assessed?
  2. Which academic disciplines demonstrated the highest levels of persistence on Mastodon, and what factors characterized their migration experiences?

To explore these questions, the authors utilized a public GitHub repository containing lists of academic Mastodon accounts, tracking 7,542 users across 50 distinct disciplines. The data, collected weekly over a year, included public metrics such as followers, following, and posting activity. Cross-platform analysis was also conducted using Twitter data to assess conversations about Mastodon among academics.

Key Findings

User Engagement

  1. Initial Surge and Subsequent Decline: The study observed a significant initial surge in Mastodon sign-ups, with 7,505 active scholars posting in November 2022. However, this number steadily dwindled to 2,398 by October 2023. Attrition rates were high, with approximately 10-20% of users dropping off each month.
  2. Activity Categorization: Users were classified into categories based on their level of engagement: one-time visitors, short-term adopters, long-term adopters, and persistent adopters. The analysis revealed that only 35.4% of users remained consistently active throughout the year.
  3. Engagement Metrics: Persistent users continued to post regularly but experienced slow growth in followers and following counts, highlighting challenges in expanding social ties on decentralized platforms.

Field-Specific Activity

  1. Disparities Across Disciplines: Disciplines such as physical sciences and mathematics showed higher average post counts, while medicine and health sciences exhibited less frequent posting. The highest proportion of persistent users was found among multidisciplinary researchers.
  2. User Distribution: In fields like social and behavioral sciences, and arts and humanities, a significant portion of users were one-time visitors or short-term adopters, indicating temporary engagement with the platform.

Cross-Platform Analysis

  1. Twitter Conversations: Discussions about Mastodon on Twitter peaked during the initial migration period but sharply declined thereafter. Initial enthusiasm waned as users faced technical and community-building challenges on Mastodon.
  2. Competition from Other Platforms: The emergence of platforms like Bluesky and Threads diluted the migration effort, with users exploring multiple alternatives.
  3. Case Study - Physical Sciences and Mathematics: A case study of scholars in these fields revealed that a majority remained active on Twitter. Among those still active, only a minority continued to prominently display their Mastodon information, indicating a reluctance to fully migrate.

Implications and Future Directions

The research underlines the complex nature of transitioning professional communities to decentralized platforms. Several key points emerge:

  1. Community Building: Establishing cohesive communities is critical for the success of decentralized platforms. Mastodon's fragmented structure and the lack of a centralized theme hindered community formation.
  2. User Retention: Technical challenges and competition from user-friendly alternatives like Bluesky and Threads impeded long-term engagement. Addressing these issues requires not only technical improvements but also strategies to foster community and network effects.
  3. Social Connections: The migration effort needs to focus on social connections, ensuring that users can easily transition their networks to the new platform. Simply creating accounts is insufficient; the value lies in transferring entire communities.
  4. Policy and Governance: Decentralized platforms like Mastodon offer enhanced privacy and security. However, their governance models need refinement to maintain user interest and engagement over time.

Conclusion

The study provides a thorough analysis of the challenges faced by academic communities in migrating from Twitter to Mastodon. Despite the initial enthusiasm, sustaining user engagement proved difficult due to technical and community-building challenges, as well as competition from other platforms. Future efforts to support migrations to decentralized platforms must address these core issues, fostering community building and considering network effects to retain user engagement. Practical and policy solutions are necessary to realize the potential of decentralized social media for professional discourse.

By emphasizing the importance of social connections and cohesive communities, this research highlights the multifaceted nature of online platform transitions. The findings serve as a crucial reference for future studies and initiatives aimed at decentralizing professional communication spaces.

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The failed migration of academic Twitter (39 points, 13 comments)