Platform migration represents the coordinated movement of political communities between digital platforms in response to content moderation actions, platform bans, or changes in platform ownership and policies. This dynamic is a recurring pattern in digital political organization, shaping how communities maintain cohesion and continue discourse across a fragmented platform ecosystem.

Who moves first: thresholds in a platform migration Decide when you would follow your contacts to a new platform, then watch a small community in which one person's threshold decides whether everyone moves.

Step 1: three of your eight contacts have moved to a new platform; only your contacts change, though people also move for reasons of policy and design. If you would move once three or fewer of them had, you move; if you would wait for more, you stay for now. Step 2: in a community of twelve whose members wait for zero, one, two and so on up to eleven others, you waiting for five, one person after another moves until everyone has, you included. If the person who waited for one other waits for two instead, the move stalls after the first person, and everyone else, you included, stays. Step 3: in that stalled community, if one member who would otherwise wait for nine agrees in advance to move on the first day, the chain restarts and everyone moves, you included. A community with a wider gap between thresholds would need more members to agree. Step 4: studies of real migrations found that following friends and communities was a major reason people moved, that during Reddit's 2015 community unrest, despite talk of a mass exodus, only a small migration occurred, and that the communities studied that moved after moderation actions reached smaller audiences.

How this works
Based on
Granovetter, M. (1978). Threshold Models of Collective Behavior. American Journal of Sociology, 83(6), 1420-1443. Steps 2 and 3: the threshold model, and its example of a crowd with thresholds running evenly from zero, which acts in a chain, beside an almost identical crowd that stops after its first actor. Granovetter's crowd has 100 people; this one has 12. Step 3's member who acts unconditionally is an extension of the example, not part of it.
Fiesler, C. & Dym, B. (2020). Moving Across Lands: Online Platform Migration in Fandom Communities. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW1), Article 42. Step 1: people moved for reasons of policy, design and community, and following friends and communities was a major one. Step 3: one interviewee's standoff in which no one wanted to move first.
What it assumes
  • Each person moves once the number of others who have already moved reaches their threshold, and nobody moves back.
  • Everyone in the community counts everyone else's moves, as in Granovetter's example; in step 1 only your own contacts count.
  • Thresholds are fixed. What sets them, such as how much a person prefers either platform, its features or its moderation policies, is not modeled.
  • There is one new platform to move to.
  • Step 3's member who agrees in advance stands for the coordinated departures the article describes. The model does not show how often such agreements happen, or how often they work.
  • The community of twelve, its thresholds and the one member who agrees in advance are chosen so each effect shows within seconds. The numbers on the people are inputs to the illustration, not measurements of any real community.
What it leaves out
  • Several competing destinations, and choosing between them.
  • Staying on both platforms at once, which the article describes as cross-platform bridging.
  • What sets off a migration, such as a ban, a policy change or a change of ownership.
  • Who knows whom: in the model everyone sees everyone.
  • Moving back, or leaving the new platform later.
What it does not show
How many people would move in any real migration, what anyone's actual threshold is, or whether a migration helped or hurt the community that made it.

Key Mechanisms

Coordinated Exodus: Communities organize departures from platforms through informal networks, sometimes following high-profile bans of influential figures or changes in platform policies. Some migrations have involved pre-planning alternative communication channels and coordinated timing.

Network Preservation: During migration, communities work to maintain social connections and organizational structures by sharing alternative platform information, creating account directories, and establishing new communication protocols to minimize loss of community members.

Platform Shopping: Communities evaluate alternative platforms based on moderation policies, user base alignment, technical features, and perceived long-term viability, often testing multiple platforms simultaneously before settling on primary alternatives.

Digital Manifestations

  • Pre-Migration Coordination: Communities use existing platforms to organize departure, sharing alternative platform links, backup communication methods, and migration timelines
  • Cross-Platform Bridging: Users maintain presence on multiple platforms during transition periods, cross-posting content and directing followers to alternative platforms
  • Community Reconstitution: Rebuilding of follower networks, content libraries, and organizational structures on new platforms
  • Platform Abandonment Patterns: In some migrations, decline in activity on origin platforms as communities consolidate on alternatives
  • Technical Adaptation: Learning new platform interfaces, features, and community norms while attempting to replicate previous engagement patterns

Historical Context

Platform migration became a prominent pattern during the 2010s, alongside the expansion of content moderation policies on mainstream platforms. Early examples included communities moving from Reddit to alternative platforms following subreddit bans, and the growth of alternative social media platforms following Twitter and Facebook policy changes. After the 2020 election and the events of January 6, 2021, major platforms suspended specific high-profile accounts and coordinated networks, followed by further migration to alternative platforms. Following Elon Musk’s acquisition of Twitter in October 2022, Mastodon experienced a documented surge in new users. Further alternatives to Twitter/X followed: Threads launched in July 2023, and Bluesky opened to the public in February 2024.

The dynamic involves communities departing platforms in response to content moderation decisions, with alternative platforms launching and growing alongside them. As platforms have adjusted moderation policies, alternative platforms have gained users from communities that left, alongside a platform ecosystem with differing moderation standards and community compositions. A 2022 Pew Research Center study of seven alternative social media sites, including Gab, Parler, Telegram and Truth Social, found in a survey that 6% of U.S. adults regularly got news on at least one of them, and found in its examination of prominent accounts on those sites that 15% had been banned or demonetized on another platform.

Why Migrations Take Off or Stall

Sociologist Mark Granovetter’s threshold model of collective behavior (1978) describes decisions in which each person acts only after enough others have: the number or proportion of others a person waits for is that person’s threshold. In one example he gives, a crowd whose thresholds run evenly from zero upward acts in a chain, one person after another, while an almost identical crowd, in which a single person’s threshold is one higher, stops after the first person acts. Granovetter names migration among the behaviors the model can describe. In the model, whether a group moves depends on how thresholds are spread across its members, not only on its members’ average preferences.

Studies of platform migrations also report that people’s moves depended on others’. In interviews and a survey of fandom communities, Casey Fiesler and Brianna Dym (2020) found that following friends and communities was a major reason people moved between platforms, so a move succeeded only when enough of a community made it; one interviewee described a standoff in which no one wanted to move first. A study of 136,009 users who moved from Twitter to Mastodon after the 2022 acquisition reported a strong influence of users’ social networks on migration (He et al., 2023), and a study of more than 10,000 such users found that being more active and having a larger network were associated with staying on Mastodon (Jeong et al., 2024).

Several of the migrations studied were partial. A study of Reddit during a period of community unrest in 2015 found that, despite talk of a mass exodus, only a small migration to alternative sites occurred, and pointed to Reddit’s long tail of niche communities, which the alternatives could not match (Newell et al., 2016). A study of Bluesky through spring 2024 found that its growth came mostly in bursts tied to specific events, including its opening to the public in February 2024, with daily active use falling between them (Balduf et al., 2024). The communities studied that moved after moderation actions reached smaller audiences: after r/The_Donald and r/Incels moved from Reddit to standalone websites, posting activity, active users and newcomers declined significantly, although the r/The_Donald users who moved showed increased signals of toxicity and radicalization as the study measured them (Horta Ribeiro et al., 2021), and prominent figures removed from mainstream platforms who moved to Telegram and other alternatives kept posting to smaller audiences (Rogers, 2020).

Impact on Democratic Discourse

Platform migration can affect democratic processes by:

  • Creating communication spaces separated by moderation norms or community focus, which may reduce cross-cutting exposure to different viewpoints
  • Allowing political movements to continue organizing on other platforms after platform-level restrictions
  • Fragmenting public discourse into platform-specific ecosystems with different norms and moderation standards
  • Raising questions about content moderation approaches and platform governance
  • Shifting the locus of political organizing to platforms with different moderation structures and governance models

Research on specific migrations reports that several were partial: the 2015 Reddit migration stayed small, Bluesky’s growth came in bursts, and the communities studied after moderation actions reached smaller audiences.

Sources

  1. 01.

    Granovetter, M. (1978). Threshold Models of Collective Behavior. American Journal of Sociology, 83(6), 1420-1443. Source for the threshold model: each person's threshold is the number or proportion of others who must act before that person does, and groups with similar average preferences can reach very different outcomes. Source for the example of a crowd with thresholds running from 0 to 99, in which every member acts in a chain, and the almost identical crowd in which replacing the person whose threshold is 1 with one whose threshold is 2 leaves the first actor alone. The abstract names migration among the model's applications.

  2. 02.

    Fiesler, C. & Dym, B. (2020). Moving Across Lands: Online Platform Migration in Fandom Communities. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW1), Article 42. Interviews with 28 people and 1,886 survey responses from fandom communities. Source for: causes of migration fall into policy, design and community; following friends and communities was a major contributor, so a move succeeded only when enough people made it; one interviewee described a standoff in which no one wanted to move first.

  3. 03.

    Newell, E., Jurgens, D., Saleem, H. M., Vala, H., Sassine, J., Armstrong, C., & Ruths, D. (2016). User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 279-288. Study of Reddit and 21 alternative sites in summer 2015. Source for: despite talk of a mass exodus, only a small migration occurred; Reddit's long tail of niche content helped keep users, and alternatives could reach critical mass for mainstream topics but not niche ones.

  4. 04.

    Rogers, R. (2020). Deplatforming: Following extreme Internet celebrities to Telegram and alternative social media. European Journal of Communication, 35(3), 213-229. Source for: prominent figures removed from mainstream platforms continued posting on Telegram and other alternative platforms, where their audiences were smaller. The title's characterization of the figures studied is the author's, not adopted here.

  5. 05.

    Ribeiro, M. H., Jhaver, S., Zannettou, S., Blackburn, J., Stringhini, G., Cristofaro, E. D., & West, R. (2021). Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), Source for: after both communities moved from Reddit to standalone websites, posting activity, active users and newcomers declined significantly; the r/The_Donald users who moved showed increased signals of toxicity and radicalization, as the study measured them.

  6. 06.

    Stocking, G., Mitchell, A., Matsa, K. E., Widjaya, R., & Jurkowitz, M. (2022). The Role of Alternative Social Media in the News and Information Environment. Pew Research Center. Author list truncated to the first five. Survey of 10,188 U.S. adults, 16-22 May 2022, covering BitChute, Gab, Gettr, Parler, Rumble, Telegram and Truth Social. Source for: 6% of U.S. adults regularly got news on at least one of the seven sites; 15% of the prominent accounts examined on them had been banned or demonetized on another platform.

  7. 07.

    He, J., Zia, H. B., Castro, I., Raman, A., Sastry, N., & Tyson, G. (2023). Flocking to Mastodon: Tracking the Great Twitter Migration. Proceedings of the 2023 ACM Internet Measurement Conference, 111-123. Tracks 136,009 users who moved from Twitter to Mastodon after Twitter's October 2022 acquisition. Source for the surge of new Mastodon users, and for the abstract's finding of a strong influence of the social network on migration. Figures from the preprint's body are not used, because the published text could not be checked against them.

  8. 08.

    Jeong, U., Sheth, P., Tahir, A., Alatawi, F., Bernard, H. R., & Liu, H. (2024). Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. Proceedings of the International AAAI Conference on Web and Social Media, 18(1), 738-750. Study of more than 10,000 users who moved to Mastodon in the first ten weeks after Twitter's ownership change. Source for: a user's activity and the size of their network were positively associated with staying active on Mastodon.

  9. 09.

    Balduf, L., Sokoto, S., Ascigil, O., Tyson, G., & Scheuermann, B. (2024). Looking AT the Blue Skies of Bluesky. Proceedings of the 2024 ACM Internet Measurement Conference, 76-91. Author list truncated to the first five of eight. Data through spring 2024, before the November 2024 surge. Source for: Bluesky's growth came mostly in bursts driven by specific events, including its opening to the public in February 2024, with daily active use falling between them; the authors saw no sign yet of a snowball effect or mass migration.

Page history

Reviewed Oct 26, 2026
Created Sep 19, 2025Today

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Related Dynamics

accelerates
fragmentation-of-public-sphere
Platform migration fragments shared discourse spaces into platforms divided by moderation policies and community norms
enables
echo-chambers-and-filter-bubbles
Migration to platforms sharing similar moderation approaches or community interests can contribute to more homogeneous information environments
accelerates
radicalization
In one study, users who moved to a standalone site after a moderation action showed increased measured signals of toxicity and radicalization