Rumour Detection
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Benchmarks
Sepehr_RumTel01
1
Most implemented
The Surprising Performance of Simple Baselines for Misinformation Detection
Joint Rumour Stance and Veracity Prediction
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
Rumour Evaluation with Very Large Language Models
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
Verifying the Robustness of Automatic Credibility Assessment
Papers
An End-to-End Hybrid Framework for Rumour Detection in Low-Resources Algerian Dialect
The rapid growth of social media has intensified the spread of rumours. This issue is more challenging in the Algerian context due to the informal and code-switched nature of dialectal content, the scarcity of annotated …
Rumour DetectionSCRum-9: Multilingual Stance Classification over Rumours on Social Media
We introduce SCRum-9, a multilingual dataset for Rumour Stance Classification, containing 7,516 tweet-reply pairs from X. SCRum-9 goes beyond existing stance classification datasets by covering more languages (9), linkin…
Rumour DetectionStance ClassificationAn Analytical Emotion Framework of Rumour Threads on Social Media
Rumours in online social media pose significant risks to modern society, motivating the need for better understanding of how they develop. We focus specifically on the interface between emotion and rumours in threaded di…
Rumour DetectionContrastive Token-level Explanations for Graph-based Rumour Detection
The widespread use of social media has accelerated the dissemination of information, but it has also facilitated the spread of harmful rumours, which can disrupt economies, influence political outcomes, and exacerbate pu…
Graph Neural NetworkRumour DetectionAttacking Misinformation Detection Using Adversarial Examples Generated by Language Models
We investigate the challenge of generating adversarial examples to test the robustness of text classification algorithms detecting low-credibility content, including propaganda, false claims, rumours and hyperpartisan ne…
ArticlesMisinformationRumour DetectionStyle Transfer+3Rumour Evaluation with Very Large Language Models
Conversational prompt-engineering-based large language models (LLMs) have enabled targeted control over the output creation, enhancing versatility, adaptability and adhoc retrieval. From another perspective, digital misi…
MisinformationPrompt EngineeringRumour DetectionStance Classification