Researchers have developed a new framework to detect online influence operations by analyzing user behavior patterns rather than just content. This approach models user activity as sequential decision processes, proving more effective than traditional content analysis, especially with the rise of generative AI. Applied to Reddit data, including accounts linked to the Internet Research Agency, the behavioral policy-based method achieved a median macro-F1 score of 94.9%, outperforming text-based models and enabling earlier detection of malicious actors. AI
IMPACT This behavioral analysis approach offers a more resilient method for detecting disinformation campaigns in an era of advanced AI-generated content.
RANK_REASON Academic paper introducing a new framework for detecting online influence operations. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- Connected Papers
- CORE Recommender
- DagsHub
- Gotit.pub
- Hugging Face
- Influence Flower
- Internet Research Agency
- Litmaps
- Philipp J. Schneider
- ScienceCast
- scite Smart Citations
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →