Research

Computational Political Science & Extremism Studies

Research Statement

My research addresses a fundamental question in the study of political violence: How do online communities translate into offline political action? I argue that digital platforms are not mere communication channels but constitutive environments where political identities are formed, grievances are framed, and collective action is coordinated. Understanding political violence in the 21st century requires new theoretical frameworks and computational methods capable of tracing these online-offline dynamics.

This research agenda makes three interconnected contributions:

  1. Theoretical: I develop a framework conceptualizing digital platforms as identity laboratories, coordination infrastructure, and meaning-making spaces—each with distinct implications for mobilization potential.

  2. Methodological: I combine machine learning, natural language processing, and social network analysis to measure phenomena that traditional methods cannot capture at scale.

  3. Substantive: My empirical work reveals how network structures, ideological coherence, and platform affordances shape when online extremism produces real-world violence.

Core Research Questions:

  • Under what conditions do online communities produce offline political violence?
  • How do platform characteristics shape radicalization and mobilization processes?
  • What role do emerging technologies (AI, gaming platforms) play in extremist recruitment?

Citation Metrics

Google Scholar Profile: 1,093 total citations | Research Areas: collective behavior, online communities, extremism, conspiracy theories, video games

Impact Highlights:

  • Featured in 8+ major media outlets
  • 276K+ total article views
  • Research cited in policy reports and academic literature

Research Areas & Methods

Substantive Focus Areas

Political Violence & Extremism

  • Neo-fascist accelerationism and network structures
  • Online-offline radicalization pathways
  • Gaming platforms as extremist recruitment venues
  • AI and synthetic media threats

Technology & Society

  • Digital platform governance and content moderation
  • AI safety and misuse potential
  • Social media data analysis and behavioral patterns
  • Gaming culture and political socialization

Methodological Expertise

Computational Methods

  • Machine Learning (PyTorch, Scikit-Learn, Hugging Face Transformers)
  • Natural Language Processing and text-as-data approaches
  • Social Network Analysis (igraph, statnet)
  • Time-series analysis and causal inference

Featured Technical Work:

Data & Platforms

  • Large-scale social media data collection and analysis
  • Gaming platform research and mixed-methods approaches
  • Survey research and experimental design
  • Qualitative coding and content analysis

Current Research Projects

Dissertation Research

“Social Processes and Collective Mobilization in the Online Extreme Right”

Investigating how decentralized, leaderless online extremist communities produce collective mobilization and political violence despite the absence of formal organizational hierarchy. The dissertation develops a theory of collective mobilization in the online extreme right and tests it across three empirical chapters examining apocalyptic rhetoric on 4chan, the crystallization of ideology on a neo-fascist forum, and the “canonization” of violent attackers. Uses transformer-based NLP, intervention analysis, interrupted time-series, network contagion analysis, and regression with novel datasets.

  • Committee: Andrew Q. Philips (co-chair), Jennifer Fitzgerald (co-chair), Alexandra Siegel
  • External Advisor: Brian Keegan (Information Science)
  • Expected Completion: May 2027

COVID-19 Media Framing Study

“Partisan Visual Politics During a Pandemic” (with Andrew Q. Philips and Komal P. Kaur)

Investigating partisan differences in visual and textual framing of pandemic coverage across U.S. news outlets using computer vision and text analysis methods.

Gaming & Extremism Research

“Multi-Platform Radicalization in Digital Gaming”

Comprehensive study of recruitment and radicalization processes within digital gaming environments, including direct partnerships with major gaming platforms for harm mitigation strategies.

Policy & Financial Markets

“Political Messaging and Market Responses” (under review)

Analysis of how political communications affect financial market behavior and investor decision-making.

Research Impact & Media Coverage

Academic Recognition

  • Research extensively cited in terrorism studies literature
  • Work featured in CTC Sentinel, premier counterterrorism publication
  • Publications in top-tier psychology and computer science venues

Policy & Industry Impact

  • January 6th Committee: Investigative consultant providing expertise on extremist movements
  • Technology Partnerships: Direct collaboration with gaming companies (Roblox, Spectrum Labs)
  • Federal Funding: $1.38M in grants as Principal Investigator

Media & Public Engagement

Major Media Features: Washington Post • New York Times • NPR (Morning Edition, All Things Considered) • BBC • Politico • Wired • Bloomberg Radio • Meet the Press Now

High-Impact Articles:

  • Parler analysis: 241,000 views
  • January 6th prediction: 35,400 views

Expert Commentary Topics:

  • AI safety and misuse potential
  • Gaming platform moderation
  • Extremist recruitment strategies
  • Social media radicalization
  • Technology policy implications

Funding & Grants

As Principal Investigator

  • Department of Homeland Security (2022-2024): Gaming and extremism research - $350,000
  • Multiple Federal Grants (2019-2024): Extremism and technology studies - $1.38M total

As Co-Investigator

  • Logically Partnership (2022): Social media data infrastructure for extremism research
  • Various Industry Partnerships: Gaming platform safety research

Undergraduate and Graduate Research Involvement

My research agenda is designed to actively involve students at every stage. Since 2019, I have supervised 45 undergraduate and graduate research assistants and 15 independent student projects across multiple institutions. Students contribute meaningfully to my work through:

  • Data collection and annotation — coding social media content, building datasets of extremist rhetoric, and collecting primary-source documents
  • Qualitative and quantitative analysis — contributing to network analysis, text classification, and content analysis tasks
  • Independent research projects — developing their own research questions within my broader agenda, with several student projects resulting in published reports

Past student projects have included investigations of Italian neofascism, militant accelerationist coalition-building, the French far-right on encrypted platforms, and AI implications for counterterrorism. I currently supervise four undergraduate RAs working on apocalyptic language analysis in social media data.

Future Research Directions

Emerging Technologies & Political Violence

  • AI-generated disinformation and radicalization
  • Virtual/augmented reality environments as political spaces
  • Blockchain and decentralized platform governance

Comparative Extremism Studies

  • Cross-national analysis of digital radicalization patterns
  • Comparative platform governance approaches
  • International cooperation in countering online extremism

Methodological Innovation

  • Advanced causal inference methods for social media data
  • Multi-modal analysis combining text, visual, and network data
  • Real-time detection and intervention systems

For collaboration inquiries, media requests, or access to datasets, contact alex.newhouse@colorado.edu.

Google Scholar: Alex Newhouse • ORCID: Available upon request