Filippo Menczer

Affiliation: Indiana University--Bloomington

Computer scientist studying misinformation spread, social bots, and information ecosystems using network and computational methods.

Papers in this wiki

• Botometer 101: Social bot practicum for computational social scientists (2022) — Tutorial on Botometer, a machine learning tool for detecting social bots on Twitter
• Finding Streams in Knowledge Graphs to Support Fact Checking (2017) — Knowledge Stream: network-flow approach to fact-checking using knowledge graphs
• Computational fact checking from knowledge networks (2015) — Network-based fact checking using knowledge graphs and semantic proximity metrics
• Detecting and Tracking the Spread of Astroturf Memes in Microblog Streams (2010) — Detecting political astroturfing campaigns on Twitter via network topology and sentiment analysis
• Detection of Novel Social Bots by Ensembles of Specialized Classifiers (2020) — Ensemble of specialized classifiers for detecting novel social bots with improved cross-domain generalization
• Scalable and Generalizable Social Bot Detection through Data Selection (2019) — Scalable metadata-only bot detection using strategic data selection to improve cross-domain generalization
• Arming the public with artificial intelligence to counter social bots (2019) — User experience study of bot detection tools and calibration methods for interpretability
• Anatomy of an online misinformation network (2018) — Network analysis of misinformation and fact-checking diffusion during 2016 U.S. election using the Hoaxy platform
• The Science of Fake News (2018) — Foundational multidisciplinary review establishing the scientific framework for studying fake news
• The spread of low-credibility content by social bots (2017) — Empirical analysis of bot-driven amplification of misinformation on Twitter during 2016 U.S. election
• Online Human-Bot Interactions: Detection, Estimation, and Characterization (2017) — Large-scale bot detection framework with 1,150 features and population estimation
• BotOrNot: A System to Evaluate Social Bots (2016) — Public web and API service for bot classification using 1,000+ features and Random Forest
• The Rise of Social Bots (2015) — Comprehensive survey of social bot detection methods and taxonomy