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New ML method IMMENSE aids law enforcement in social network user classification

By PulseAugur Editorial · [1 sources] ·

Researchers have developed IMMENSE, a new machine learning method designed to help law enforcement agencies identify malicious users on social networks. This inductive classification approach integrates three perspectives: the content users post, their social connections, and their spatial information. Experiments on a Twitter/X dataset demonstrated IMMENSE's effectiveness, outperforming five existing methods and enabling classification of new users without retraining. AI

IMPACT This inductive classification method could enhance the efficiency of social network monitoring systems for law enforcement.

RANK_REASON The cluster contains a research paper detailing a new machine learning method. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ML method IMMENSE aids law enforcement in social network user classification

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The cluster contains a research paper detailing a new machine learning method. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Francesco Benedetti, Antonio Pellicani, Gianvito Pio, Michelangelo Ceci ·

    IMMENSE: Inductive Multi-perspective User Classification in Social Networks

    arXiv:2608.05259v1 Announce Type: cross Abstract: Online social networks increasingly expose people to users who propagate discriminatory, hateful, and violent content. Young users, in particular, are vulnerable to exposure to such content, which can have harmful psychological an…

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