LabCompass

Matthew DeVerna

Computer Science · Indiana University

OpenAlex ORCID
Spam and Phishing DetectionText and Document Classification TechnologiesWeb Data Mining and AnalysisMisinformation and Its ImpactsVaccine Coverage and Hesitancy

Publications

282

Citations

635

Est. group size

~5

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Matthew DeVerna studies how information and misinformation spread on social media platforms, including political messaging and rumor correction. The work combines computational analysis of large-scale social media data with questions about online behavior, such as how false claims persist and how political figures present themselves across platforms. Topics include detecting spam and phishing, classifying text, and understanding the impact of misinformation on public issues like vaccine attitudes.

Misinformation and rumor spread on social mediaPolitical communication onlineWeb and social media data miningText and document classificationSpam and phishing detection

Publication activity has been ongoing over the last five years, averaging about seven per year, with a steady output following an anomalously high count recorded for 2021.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.2/year recently
171819202021: 246 publications246212022: 6 publications222023: 14 publications232024: 8 publications242025: 5 publications252026: 3 publications26
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×192
  • Figshare×58
  • arXiv (Cornell University)×12
  • Proceedings of the International AAAI Conference on Web and Social Media×3
  • Scientific Reports×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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