• Corpus ID: 241035514

Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities

@article{Paudel2021SorosCS,
  title={Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities},
  author={Pujan Paudel and Jeremy Blackburn and Emiliano De Cristofaro and Savvas Zannettou and Gianluca Stringhini},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.02187}
}
This paper presents a multi-platform computational pipeline geared to identify social media posts discussing (known) conspiracy theories. We use 189 conspiracy claims collected by Snopes, and find 66k posts and 277k comments on Reddit, and 379k tweets discussing them. Then, we study how conspiracies are discussed on different Web communities and which ones are particularly influential in driving the discussion about them. Our analysis sheds light on how conspiracy theories are discussed and… 

Figures from this paper

Understanding Online Migration Decisions Following the Banning of Radical Communities

Results show that individual-level factors, those relating to the behavior of users, are associated with the decision to post on the fringe platform, and pave the way for evidence-based moderation policies, as the decisions to migrate and remain coactive amplify unintended consequences of community bans.

Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning

Online platforms face pressure to keep their communities civil and respectful. Thus, the bannings of problematic online communities from mainstream platforms like Reddit and Facebook are often met

Special Issue: Conspiracy Theories in Digital Environments

A review of recent methodological approaches to measuring conspiracy-related content online regarding the prevalence and diffusion of conspiracy theories and differentiates between social network analysis approaches and computational techniques of automated text classification.

Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donald

It is found that the interventions had strong positive effects toward reducing the activity of problematic users both inside and outside of r/The_Donald, however, the interventions also caused an increase in toxicity and led users to share more polarized and less factual news.

References

SHOWING 1-10 OF 43 REFERENCES

Science vs Conspiracy: Collective Narratives in the Age of Misinformation

The results show that polarized communities emerge around distinct types of contents and usual consumers of conspiracy news result to be more focused and self-contained on their specific contents.

Topic Modeling Reveals Distinct Interests within an Online Conspiracy Forum

It is suggested that those who endorse conspiracies seem to be primarily brought together by epistemological concerns, and that these central concerns link an otherwise heterogenous group of individuals.

Debunking in a world of tribes

This work examines the effectiveness of debunking on Facebook through a quantitative analysis of 54 million users over a time span of five years, and confirms the existence of echo chambers where users interact primarily with either conspiracy-like or scientific pages.

Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities

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 conspiracy theory subreddits and offers a systematic framework for uncovering the dimensions and coded language related toQAnon social imaginaries and can serve as a toolbox for studying other conspiracy theories across different platforms.

An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web

An automated pipeline for the discovery and description of the generative narrative frameworks of conspiracy theories that circulate on social media, and actual conspiracies reported in the news media is presented, hypothesizing that the narrative framework of a conspiracy theory might stabilize quickly in contrast to the narratives of an actual conspiracy, which might develop more slowly as revelations come to light.

What Makes People Join Conspiracy Communities?: Role of Social Factors in Conspiracy Engagement

This work uses longitudinal data from 56 conspiracy communities on Reddit to compare individual and social factors determining which users join the communities, and finds that dyadic interactions with members of the conspiracy communities and marginalization outside of the conspiratorial communities are the most important social precursors to conspiracy joining.

Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter

A methodological framework is contributed to systematically examine the effectiveness of moderation interventions and discuss broader implications of using deplatforming as a moderation strategy.

The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information

A dataset of 4,949 canonical Q drops collected from six “aggregation sites,” which curate and archive them from their original posting to anonymous and ephemeral image boards are built, revealing that these sites have a relatively low (overall) agreement, and thus at least some Q drops should probably be considered apocryphal.

'The Government Spies Using Our Webcams': The Language of Conspiracy Theories in Online Discussions

This work focuses on the key elements of a conspiracy theory: the conspiratorial agents, the actions they perform, and their targets, and develops a notion of narrative-motif to detect recurring patterns of triplets in conspiratorial statements.

Emotional Dynamics in the Age of Misinformation

This work addresses the emotional dynamics of collective debates around distinct kinds of information—i.e., science and conspiracy news—and inside and across their respective polarized communities and finds that for both kinds of content the longer the discussion the more the negativity of the sentiment.