arXiv Computation and Language
Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool
Read the original on arXiv Computation and Language →The Flow has not summarised this story yet — read it at arXiv Computation and Language.
Related stories
Hugging Face Trending Papers
Oct 2
Unmasking Propaganda: A Comparative Analysis of Masked and Causal Language Models
Propaganda detection is an essential task in natural language processing (NLP), particularly in the context of manipulative political communications. However, identifying specific propaganda technique...
arXiv Computation and Language
Oct 5
Unmasking Propaganda: A Comparative Analysis of Masked and Causal Language Models
arXiv:2610.03077v1 Announce Type: new Abstract: Propaganda detection is an essential task in natural language processing (NLP), particularly in the context of manipulative political communications. H...
arXiv Computation and Language
Oct 8
BanglaRhet: Benchmarking Classical and Transformer Models for Rhetorical and Persuasion Detection in Bangla Political Speech
arXiv:2610.09464v1 Announce Type: new Abstract: Political discourse often uses rhetorical and persuasive language to frame narratives, influence public opinion, and mobilize audiences. While Bangla n...
arXiv Computation and Language
Sep 14
SWARM: A Multilingual Human-Annotated Dataset for Russian Propaganda Detection in Search Engine Results
The paper introduces SWARM, a multilingual dataset of 2,183 search engine results in nine languages, annotated for support of Russian propaganda narratives. It evaluates a source-based blocklist, supervised classifiers, and zero‑shot large language models, finding that blocklists miss most propaganda and that content‑level models vary in performance, with the best LLM achieving an F1 of 0.73. The study highlights the need for per‑language, content‑level detection of search‑borne propaganda.
arXiv Computation and Language
Sep 21
From Generation to Detection: Exploration of Discourse Driven Scenario based LLM Generated Fake News
arXiv:2609.20838v1 Announce Type: new Abstract: In this study, we examine how modern LLMs generate and detect fake news under controlled settings across four manipulation scenarios. These are open-en...
arXiv AI
Aug 18
Propaganda Forensics: Recovering the Generation Pipeline of an AI-Driven Influence Campaign
arXiv:2608. 15746v1 Announce Type: new Abstract: We present a forensic analysis of the generation pipeline behind a recent AI-driven influence campaign.