Rebekah Overdorf

LSIR, External (Ruhr University Bochum), EPFL

Rebekah Overdorf is mapped on the EPFL MDH Research Landscape. 10 of their works are recorded here.

Works recorded here

• Disinformation from the Inside, Combining Machine Learning and Journalism to Investigate Sockpuppet Campaigns
  publication, 2020, direct MDH relevance
• Tactical Reframing of Online Disinformation Campaigns Against The Istanbul Convention
  publication, 2021, direct MDH relevance
• Characterizing and Detecting Propaganda-Spreading Accounts on Telegram
  publication, 2025, direct MDH relevance
• Vaccine-disinformation project (current case study)
  project, Ongoing, direct MDH relevance
• It is not enough to give your moderation rules to ChatGPT: Policy-as-Prompt Moderation and Its Potential Impacts on Community Governance
  publication, 2026, adjacent MDH relevance
• Subtle Censorship via Adversarial Fakeness in Kyrgyzstan
  publication, 2019, direct MDH relevance
• Thinking Taxonomically about Fake Accounts: Classification, False Dichotomies, and the Need for Nuance
  publication, 2020, direct MDH relevance
• Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution
  publication, 2016, infrastructure MDH relevance
• Traces of Abuse: How Generative AI Impacts Image-Based Sexual Abuse (IBSA) Investigations
  publication, 2026, direct MDH relevance
• (Un)fair Mistakes on Social Media: How Demographic Characteristics Influence Authorship Attribution
  publication, 2026, adjacent MDH relevance

Open this actor on the interactive map

Part of the EPFL MDH Research Landscape, a map of research at EPFL on misinformation, disinformation and hate speech. The whole dataset is at data.json and in one readable file at mdh-landscape.md.