Papers Rumour Detection
“Rumour Detection” 태그가 달린 논문 99편 · 필터 해제
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 ClassificationAssessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification
The reasoning capabilities of LLMs are currently hotly debated. We examine the issue from the perspective of claim/rumour verification. We propose the first logical reasoning framework designed to break down any claim or…
Claim VerificationLogical ReasoningRumour DetectionCMA-R:Causal Mediation Analysis for Explaining Rumour Detection
We apply causal mediation analysis to explain the decision-making process of neural models for rumour detection on Twitter. Interventions at the input and network level reveal the causal impacts of tweets and words in th…
Decision MakingRumour DetectionImplementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT
The abundance of information on social media has increased the necessity of accurate real-time rumour detection. Manual techniques of identifying and verifying fake news generated by AI tools are impracticable and time-c…
MisinformationRumour DetectionRumour Detection and Analysis on Twitter
In recent years people have become increasingly reliant on social media to read news and get information, and some social media users post unsubstantiated information to gain attention. Such information is known as rumou…
Rumour DetectionVerifying the Robustness of Automatic Credibility Assessment
Text classification methods have been widely investigated as a way to detect content of low credibility: fake news, social media bots, propaganda, etc. Quite accurate models (likely based on deep neural networks) help in…
Fact CheckingMisinformationRumour Detectiontext-classification+1PANACEA: An Automated Misinformation Detection System on COVID-19
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel …
Fact CheckingMisinformationNatural Language InferenceRumour DetectionRumour detection using graph neural network and oversampling in benchmark Twitter dataset
Recently, online social media has become a primary source for new information and misinformation or rumours. In the absence of an automatic rumour detection system the propagation of rumours has increased manifold leadin…
Data Augmentationfeature selectionGraph Neural NetworkMisinformation+1An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning
Social networking sites, blogs, and online articles are instant sources of news for internet users globally. However, in the absence of strict regulations mandating the genuineness of every text on social media, it is pr…
ArticlesFake News DetectionMulti-Task LearningRumour Detection+1Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning
While there is much research on cross-domain text classification, most existing approaches focus on one-to-one or many-to-one domain adaptation. In this paper, we tackle the more challenging task of domain generalization…
Contrastive LearningCross-Domain Text ClassificationDomain AdaptationDomain Generalization+3Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-level signals expressed by a social-text …
Abstract Meaning RepresentationFake News DetectionGraph Representation LearningHate Speech Detection+4Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
The propagation of rumours on social media poses an important threat to societies, so that various techniques for rumour detection have been proposed recently. Yet, existing work focuses on \emph{what} entities constitut…
Graph Representation LearningRepresentation LearningRumour DetectionDUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks
Social media rumours, a form of misinformation, can mislead the public and cause significant economic and social disruption. Motivated by the observation that the user network — which captures \textit{who} engage with a …
Graph AttentionMisinformationRumour DetectionDetecting Rumours with Latency Guarantees using Massive Streaming Data
Today's social networks continuously generate massive streams of data, which provide a valuable starting point for the detection of rumours as soon as they start to propagate. However, rumour detection faces tight latenc…
Rumour DetectionEvaluating BERT-based Pre-training Language Models for Detecting Misinformation
It is challenging to control the quality of online information due to the lack of supervision over all the information posted online. Manual checking is almost impossible given the vast number of posts made on online med…
MisinformationRumour Detection