Subliminals are audiovisual routines that claim to induce change through mental programming, promising transformations across many aspects of modern life. While the idea of subliminal influence is not new, contemporary subliminals have become popular online commodities for pursuing implausible bodily modifications mediated by social media. This study applies a mixed-methods and computational approach to characterize the desires that motivate subliminal use and the social reinforcement that legitimizes unverified practices. The findings show that subliminal users are strongly oriented toward Western beauty ideals and frequently participate in adjacent magical thinking communities alongwith weight-loss and eating disorder forums. In terms of community interaction, posts that share positive results receive higher support and visibility, whereas skeptical reports tend to be unpopular and less endorsed. Taken together, this research contributes an empirical understanding of how unscientific attitudes toward rapid self-transformations are sustained and normalized in online spaces.

Online platforms like Reddit are increasingly becoming popular for individuals sharing personal experiences of leaving behind social, ideological, and political groups. Specifically, a series of ''ex-'' subreddits on Reddit allow users to recount their departures from commitments such as religious affiliations, manosphere communities, conspiracy theories or political beliefs, and lifestyle choices. Understanding the natural process through which users exit, especially from problematic groups such as conspiracy theory communities and the manosphere, can provide valuable insights for designing interventions targeting disengagement from harmful ideologies. This paper presents an in-depth exploration of 15K exit stories across 131 subreddits, focusing on five key areas: religion, manosphere, conspiracy theories, politics, and lifestyle. Using a transdisciplinary framework that incorporates theories from social psychology, organizational behavior, and violent extremism studies, this work identifies a range of factors contributing to disengagement. The results describe how disengagement from problematic groups, such as conspiracy theories and the manosphere, is a multi-faceted process that is qualitatively different than disengaging from more established social structures, such as religions or political ideologies. This research further highlights the need for moving beyond interventions that treat conspiracy theorizing solely as an information problem and contributes insights for future research focusing on offering mental health interventions and support in exit communities.

As conspiracy theories gain traction, it has become crucial to research effective intervention strategies that can foster evidence and science-based discussions in conspiracy theory communities online. This study presents a novel framework using insider language to contest conspiracy theory ideology in climate change denialism on Reddit. Focusing on discussions in two Reddit communities, our research investigates reactions to pro-social and evidence-based intervention messages for two cohorts of users: climate change deniers and climate change supporters. Specifically, we combine manual and generative AI-based methods to craft intervention messages and deploy the interventions as replies on Reddit posts and comments through transparently labeled bot accounts. On the one hand, we find that evidence-based interventions with neutral language foster positive engagement, encouraging open discussions among believers of climate change denialism. On the other, climate change supporters respond positively, actively participating and presenting additional evidence. Our study contributes valuable insights into the process and challenges of automatically delivering interventions in conspiracy theory communities on social media, and helps inform future research on social media interventions.

Increasingly online platforms are becoming popular arenas of political amplification in India. With known instances of pre-organized coordinated operations, researchers are questioning the legitimacy of political expression and its consequences on the democratic processes in India. In this paper, we study an evolved form of political amplification by first identifying and then characterizing political campaigns with lexical mutations. By lexical mutation, we mean content that is reframed, paraphrased, or altered while preserving the same underlying message. Using multilingual embeddings and network analysis, we detect over 3.8K political campaigns with text mutations spanning multiple languages and social media platforms in India. By further assessing the political leanings of accounts repeatedly involved in such amplification campaigns, we contribute a broader understanding of how political amplification is used across various political parties in India. Moreover, our temporal analysis of the largest amplification campaigns suggests that political campaigning can evolve as temporally ordered arguments and counter-arguments between groups with competing political interests. Overall, our work contributes insights into how lexical mutations can be leveraged to bypass the platform manipulation policies and how such competing campaigning can provide an exaggerated sense of political divide on Indian social media.

Conspiracy theories in online spaces, such as anti-vaccination or QAnon, present a unique amalgamation of misinformation, disinformation, and propaganda disguised in entertaining, attention-grabbing content that may appeal to peoples' cultural, moral, or social identities. Studies aiming to understand how people may engage with conspiracy theory content online, or how they may lose belief in conspiracy theories often approach research from a purely theoretical or empirical point of view. In this work, through in-depth interviews with former believers of more than 12 conspiracy theories, with experiences across almost two decades and numerous online platforms, we aim to contribute an understanding of how various online and offline factors synergize to shape a user's engagement, tenure, and disengagement in online conspiracy theorizing. We further investigate how some users recover from conspiracy theorizing with the help of online recovery communities. We find how pre-existing biases and predispositions towards conspiracy theorizing often carry over in online spaces where a user's conspiracy theory worldviews further evolve through content recommendations, interactions in online communities, and socially-primed self-reflections. We also find reasons, such as exposure to inconsistencies in theories or toxicity and anti-social attitudes in online spaces, through which users get disillusioned from conspiracy theories. Our work has implications in bringing forward often unobserved impacts of internet-mediated conspiracy theorizing on the believers---the resulting mental health issues such as depression, distrust and anxiety, and social isolation---which is comparable to the indoctrination trauma. Moreover, our interviews reveal an important role played by online communities in helping users recover from conspiracy theory beliefs by finding empathy and solidarity in fellow former believers. We conclude by providing a path forward for how social computing researchers can contribute online community designs that aid existing issues surrounding safety, inclusivity, and lack of resources in existing online conspiracy theory recovery communities.

Social media provides the means by which extremist social movements, such as white supremacy and anti-LGBTQ, thrive online. Yet, we know little about the roles played by the participants of such movements. In this paper, we investigate these participants to characterize their roles, their role dynamics, and their influence in spreading online extremism. Our participants-online extremist accounts-are 4,876 public Facebook pages or groups that have shared information from the websites of 289 Southern Poverty LawCenter (SPLC) designated extremist groups. Guided by theories of participatory activism, we map the information sharing features of these extremists accounts. By clustering the quantitative features followed by qualitative expert validation, we identify five roles surrounding extremist activism-educators, solicitors, flamers, motivators, sympathizers. For example, solicitors use links from extremist websites to attract donations and participation in extremist issues, whereas flamers share inflammatory extremist content inciting anger. We further investigate role dynamics such as, how stable these roles are over time and how likely will extremist accounts transition from one role into another. We find that roles core to the movement-educators and solicitors-are more stable, while flamers and motivators can transition to sympathizers with high probability. Finally, using a Hawkes process model, we test which roles are more influential in spreading various types of information. We find that educators and solicitors exert the most influence in triggering extremist link posts, whereas flamers are influential in triggering the spread of information from fake news sources. Our results help in situating various roles on the trajectory of deeper engagement into the extremist movements and understanding the potential effect of various counter-extremism interventions. Our findings have implications for understanding how online extremist movements flourish through participatory activism and how they gain a spectrum of allies for mobilizing extremism online.

Online discussion platforms provide a forum to strengthen and propagate belief in misinformed conspiracy theories. Yet, they also offer avenues for conspiracy theorists to express their doubts and experiences of cognitive dissonance. Such expressions of dissonance may shed light on who abandons misguided beliefs and under what circumstances. This paper characterizes self-disclosures of dissonance about QAnon-a conspiracy theory initiated by a mysterious leader "Q" and popularized by their followers ?anons"-in conspiratorial subreddits. To understand what dissonance and disbelief mean within conspiracy communities, we first characterize their social imaginaries-a broad understanding of how people collectively imagine their social existence. Focusing on 2K posts from two image boards, 4chan and 8chan, and 1.2 M comments and posts from 12 subreddits dedicated to QAnon, we adopt a mixed-methods approach to uncover the symbolic language representing the movement,expectations,practices,heroes and foes of the QAnon community. We use these social imaginaries to create a computational framework for distinguishing belief and dissonance from general discussion about QAnon, surfacing in the 1.2M comments. We investigate the dissonant comments to characterize the dissonance expressed along QAnon social imaginaries. Further, analyzing user engagement with QAnon conspiracy subreddits, we find that self-disclosures of dissonance correlate with a significant decrease in user contributions and ultimately with their departure from the community. Our work offers a systematic framework for uncovering the dimensions and coded language related to QAnon social imaginaries and can serve as a toolbox for studying other conspiracy theories across different platforms. We also contribute a computational framework for identifying dissonance self-disclosures and measuring the changes in user engagement surrounding dissonance. Our work provide insights into designing dissonance based interventions that can potentially dissuade conspiracists from engaging in online conspiracy discussion communities.

Hate groups are increasingly using multiple social media platforms to promote extremist ideologies. Yet we know little about their communication practices across platforms. How do hate groups (or "in-groups"), frame their hateful agenda against the targeted group or the "out-group?" How do they share information? Utilizing "framing" theory from social movement research and analyzing domains in the shared links, we juxtapose the Facebook and Twitter communication of 72 Southern Poverty Law Center (SPLC) designated hate groups spanning five hate ideologies. Our findings show that hate groups use Twitter for educating the audience about problems with the out-group, maintaining positive self-image by emphasizing in-group's high social status, and for demanding policy changes to negatively affect the out-group. On Facebook, they use fear appeals, call for active participation in group events (membership requests), all while portraying themselves as being oppressed by the out-group and failed by the system. Our study unravels the ecosystem of cross-platform communication by hate groups, suggesting that they use Facebook for group radicalization and recruitment, while Twitter for reaching a diverse follower base.

Widespread conspiracy theories, like those motivating anti-vaccination attitudes or climate change denial, propel collective action, and bear society-wide consequences. Yet, empirical research has largely studied conspiracy theory adoption as an individual pursuit, rather than as a socially mediated process. What makes users join communities endorsing and spreading conspiracy theories? We leverage longitudinal data from 56 conspiracy communities on Reddit to compare individual and social factors determining which users join the communities. Using a quasi-experimental approach, we first identify 30K future conspiracists?(FC) and30K matched non-conspiracists?(NC). We then provide empirical evidence of the importance of social factors across six dimensions relative to the individual factors by analyzing 6 million Reddit comments and posts. Specifically, in social factors, we find that dyadic interactions with members of the conspiracy communities and marginalization outside of the conspiracy communities are the most important social precursors to conspiracy joining-even outperforming individual factor baselines. Our results offer quantitative backing to understand social processes and echo chamber effects in conspiratorial engagement, with important implications for democratic institutions and online communities.