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New TENSOR method detects information operations users via behavior and language patterns

Researchers have developed TENSOR, a novel unsupervised approach for detecting users engaged in Information Operations (IO) on social media. TENSOR combines behavioral and language patterns, leveraging Temporal Point Processes (TPPs) to identify abnormal temporal activity and using LLM-generated scores to refine detection. This method aims to overcome limitations of existing supervised and unsupervised techniques by not relying on oversimplified assumptions of user coordination. Experiments on five real-world IO datasets demonstrated TENSOR's superior performance compared to baseline methods. AI

IMPACT This research could lead to more effective tools for identifying and mitigating coordinated disinformation campaigns on social media.

RANK_REASON The cluster contains a research paper detailing a new method for anomaly detection in AI.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New TENSOR method detects information operations users via behavior and language patterns

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sishun Liu, Sajal Halder, Ke Deng, Yan Wang, Xiuzhen Zhang ·

    Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns

    arXiv:2607.05855v1 Announce Type: cross Abstract: Information Operations on social media networks have been identified as a significant threat to democracy and modern society, but they are challenging and expensive to detect by humans. Existing supervised IO detection methods fai…

  2. arXiv cs.LG TIER_1 English(EN) · Xiuzhen Zhang ·

    Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns

    Information Operations on social media networks have been identified as a significant threat to democracy and modern society, but they are challenging and expensive to detect by humans. Existing supervised IO detection methods fail to capture the dynamic nature of evolving IO use…