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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

https://doi.org/10.18653/v1/d19-1475
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.ipm.2017.11.009openalex-snapshot
Discourse-aware rumour stance classification in social media using sequential classifiers
inferredcites →https://doi.org/10.1126/science.aap9559openalex-snapshot
The spread of true and false news online
inferredcites →https://doi.org/10.1145/2983323.2983661openalex-snapshot
Credibility Assessment of Textual Claims on the Web
inferredcites →https://doi.org/10.1371/journal.pone.0128193openalex-snapshot
Computational Fact Checking from Knowledge Networks
inferredcites →https://doi.org/10.1371/journal.pone.0150989openalex-snapshot
Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
inferredcites →https://doi.org/10.1609/aaai.v32i1.11983openalex-snapshot
Fact Checking in Community Forums
inferredcites →https://doi.org/10.1609/icwsm.v9i1.14625openalex-snapshot
CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations
inferredcites →https://doi.org/10.18653/v1/d16-1084openalex-snapshot
Stance Detection with Bidirectional Conditional Encoding
inferredcites →https://doi.org/10.18653/v1/d18-1010openalex-snapshot
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
inferredcites →https://doi.org/10.18653/v1/k18-1050openalex-snapshot
End-to-End Neural Entity Linking
inferredcites →https://doi.org/10.18653/v1/n16-1138openalex-snapshot
Emergent: a novel data-set for stance classification
inferredcites →https://doi.org/10.18653/v1/n18-1074openalex-snapshot
FEVER: a Large-scale Dataset for Fact Extraction and VERification
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n18-2004openalex-snapshot
Integrating Stance Detection and Fact Checking in a Unified Corpus
inferredcites →https://doi.org/10.18653/v1/n19-1053openalex-snapshot
Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p16-2022openalex-snapshot
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
inferredcites →https://doi.org/10.18653/v1/p17-2067openalex-snapshot
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
inferredcites →https://doi.org/10.18653/v1/p18-1031openalex-snapshot
Universal Language Model Fine-tuning for Text Classification
inferredcites →https://doi.org/10.18653/v1/p18-2124openalex-snapshot
Know What You Don’t Know: Unanswerable Questions for SQuAD
inferredcites →https://doi.org/10.18653/v1/s16-1063openalex-snapshot
USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders
inferredcites →https://doi.org/10.18653/v1/s17-2006openalex-snapshot
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
inferredcites →https://doi.org/10.18653/v1/s17-2082openalex-snapshot
NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.
inferredcites →https://doi.org/10.18653/v1/w16-0802openalex-snapshot
Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News
inferredcites →https://doi.org/10.18653/v1/w18-5446openalex-snapshot
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
inferredcites →https://doi.org/10.26615/978-954-452-049-6_045openalex-snapshot
We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind!
inferredcites →https://doi.org/10.3115/1599081.1599087openalex-snapshot
Verification and implementation of language-based deception indicators in civil and criminal narratives
inferredcites →https://doi.org/10.3115/1667583.1667679openalex-snapshot
The lie detector
inferredcites →https://doi.org/10.3115/v1/w14-2508openalex-snapshot
Fact Checking: Task definition and dataset construction
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1707.03264openalex-snapshot
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
inferredcites →https://doi.org/10.48550/arxiv.1708.07104openalex-snapshot
Automatic Detection of Fake News

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Studying effectiveness of Web search for fact checking
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ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information
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Executive Summary
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Generating Label Cohesive and Well-Formed Adversarial Claims
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Generating Fact Checking Explanations
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Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
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Multi-Hop Fact Checking of Political Claims
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Does Gender Matter? Examining and Mitigating Gender Bias in Fake News Detection
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The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
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Overview of the CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
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Multimodal Detection of Image Misrepresentation
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The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking
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An Integrated AI Ecosystem for Emotionally Aware and Productive: “MIRA 1.0”
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A Controlled Study of Evidence Quality in LLM-Based Numerical Claim Verification
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BiSaGA: A Novel Bidirectional Sparse Graph Attention Adapter for Evidence-Based Fact-Checking
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Systematic Approaches to Fact Verification: Evidence Retrieval, Veracity Prediction, and Beyond
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Counterfactual Multimodal Fact-Checking Method Based on Causal Intervention
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Is checkworthiness generalizable? Evaluating task and domain generalization of datasets for claim detection
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CREDIFY: contextualized retrieval of evidence for open-domain fact verification
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CsFEVER and CTKFacts: acquiring Czech data for fact verification
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FactualRAG: a RAG-Powered framework for LLM fact-checking via IFCN-Accredited sources
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Habilitation Abstract: Towards Explainable Fact Checking
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Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research
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Trustworthy journalism through AI
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Emotion detection for misinformation: A review
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The state of human-centered NLP technology for fact-checking
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An enhanced dynamic interaction network for claim verification
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Nudging more sustainable grocery purchases: Behavioural innovations in a supermarket setting
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Time-aware evidence ranking for fact-checking
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Towards universal methods for fake news detection
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Using co-sharing to identify use of mainstream news for promoting potentially misleading narratives
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Data Leakage in Speaker Credibility Features: A Systematic Analysis and Correction for the LIAR2 Fake News Benchmark
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An Accessible Explainable AI Extension for Fake News Detection
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VeryNews: A Multi-Agent System for Automated News Authenticity Verification
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WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
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Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public Expectation
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Fact-Checking In Complex Networks : A hybrid textual-social based approach
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Optimal Prebunking Delivery Against Misinformation Propagation on Social Networks
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COVMIS: A Dataset for Research on COVID-19 Misinformation
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Putting Claims into Communicative Context: LLM-Augmented Reasoning for Misinformation Detection
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Countering Dis-information by Multimodal Entailment via Joint Embedding
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AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering
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Cross-Document Fact Verification Based on Evidential Graph Attention Network
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SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verification
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FactCellar: An Evidence-based Dataset for Automated Fact-Checking
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Colonization Strategy Algorithm: A Deviation Algorithm Optimization based on Spatial Autocorrelation Theory
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Leveraging Rationality Labels for Explainable Claim Check-Worthiness
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Multi-Evidence Based Fact Verification via A Confidential Graph Neural Network
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RED-DOT: Multimodal Fact-Checking viaRelevant Evidence Detection
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Denoising-Enhanced Multimodal Detection Network for Fake News Video Detection
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Entity-Oriented Multi-Modal Alignment and Fusion Network for Fake News Detection
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A Survey Of Automatic Fact Verification Research
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FACE-KEG: Fact Checking Explained using KnowledgE Graphs
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How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution
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Fake News, Disinformation, Propaganda, and Media Bias
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Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
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A Review on Fact Extraction and Verification
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BeyondFacts’22: 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis
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Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic
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QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
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The Choice of Textual Knowledge Base in Automated Claim Checking
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A Multilingual Dataset for Identification of Factual Claims in Indian Twitter
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LFWE: Linguistic Feature Based Word Embedding for Hindi Fake News Detection
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Multi-Layer Ranking with Large Language Models for News Source Recommendation
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QuestGen : Effectiveness of Question Generation Methods for Fact-Checking Applications
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XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources
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Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
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Flagging Emotional Manipulation: Impacts of Manipulative Content Warnings on Sharing Intentions and Perceptions of Health-Related Social Media Posts
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Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
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End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference
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The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
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Mitigating Class Imbalance in Fact-Checking Datasets Through LLM-Based Synthetic Data Generation
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A Comprehensive Overview of Large Language Models
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An In-depth Analysis of the Linguistic Characteristics of Science Claims on the Web and their Impact on Fact-checking
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Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-centered AI Systems
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A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models
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Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A Keynote at ECIR 2025
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The Limitations of Stylometry for Detecting Machine-Generated Fake News
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Novelty Detection: A Perspective from Natural Language Processing
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Can LLMs Automate Fact-Checking Article Writing?
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A Survey on Automated Fact-Checking
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Benchmarking the Generation of Fact Checking Explanations
inferred← citeshttps://doi.org/10.1162/tacl_a_00629openalex-snapshot
AmbiFC : Fact-Checking Ambiguous Claims with Evidence
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JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
inferred← citeshttps://doi.org/10.1177/14614448241286881openalex-snapshot
Perceiving AI intervention does not compromise the persuasive effect of fact-checking
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Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
inferred← citeshttps://doi.org/10.1609/aaai.v38i17.29825openalex-snapshot
CFEVER: A Chinese Fact Extraction and VERification Dataset
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Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
inferred← citeshttps://doi.org/10.1609/icwsm.v16i1.19384openalex-snapshot
FactDrill: A Data Repository of Fact-Checked Social Media Content to Study Fake News Incidents in India
inferred← citeshttps://doi.org/10.17863/cam.78760openalex-snapshot
Generating Fact Checking Briefs
inferred← citeshttps://doi.org/10.18653/v1/2020.acl-main.332openalex-snapshot
That is a Known Lie: Detecting Previously Fact-Checked Claims
inferred← citeshttps://doi.org/10.18653/v1/2020.acl-main.656openalex-snapshot
Generating Fact Checking Explanations
inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.474openalex-snapshot
Explainable Automated Fact-Checking: A Survey
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.188openalex-snapshot
AnswerFact: Fact Checking in Product Question Answering
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.256openalex-snapshot
Generating Label Cohesive and Well-Formed Adversarial Claims
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.442openalex-snapshot
SubjQA: A Dataset for Subjectivity and Review Comprehension
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.580openalex-snapshot
Generating Fact Checking Briefs
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.623openalex-snapshot
Explainable Automated Fact-Checking for Public Health Claims
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-tutorials.2openalex-snapshot
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era
inferred← citeshttps://doi.org/10.18653/v1/2020.fever-1openalex-snapshot
Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER)
inferred← citeshttps://doi.org/10.18653/v1/2020.fever-1.1openalex-snapshot
Simple Compounded-Label Training for Fact Extraction and Verification
inferred← citeshttps://doi.org/10.18653/v1/2020.findings-emnlp.309openalex-snapshot
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
inferred← citeshttps://doi.org/10.18653/v1/2020.insights-1.7openalex-snapshot
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study
inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.165openalex-snapshot
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.256openalex-snapshot
Evidence-based Factual Error Correction
inferred← citeshttps://doi.org/10.18653/v1/2021.acl-short.12openalex-snapshot
Automatic Fake News Detection: Are Models Learning to Reason?
inferred← citeshttps://doi.org/10.18653/v1/2021.acl-short.86openalex-snapshot
X-Fact: A New Benchmark Dataset for Multilingual Fact Checking
inferred← citeshttps://doi.org/10.18653/v1/2021.eacl-main.82openalex-snapshot
Elastic weight consolidation for better bias inoculation
inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.710openalex-snapshot
Cross-Domain Label-Adaptive Stance Detection
inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.845openalex-snapshot
Semi-Supervised Exaggeration Detection of Health Science Press Releases
inferred← citeshttps://doi.org/10.18653/v1/2021.fever-1.1openalex-snapshot
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task
inferred← citeshttps://doi.org/10.18653/v1/2021.fever-1.3openalex-snapshot
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.297openalex-snapshot
Evidence-based Fact-Checking of Health-related Claims
inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.56openalex-snapshot
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.121openalex-snapshot
How Robust are Fact Checking Systems on Colloquial Claims?
inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.52openalex-snapshot
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
inferred← citeshttps://doi.org/10.18653/v1/2021.semeval-1.142openalex-snapshot
1213Li at SemEval-2021 Task 6: Detection of Propaganda with Multi-modal Attention and Pre-trained Models
inferred← citeshttps://doi.org/10.18653/v1/2021.wnut-1.21openalex-snapshot
Mitigation of Diachronic Bias in Fake News Detection Dataset
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.175openalex-snapshot
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.311openalex-snapshot
Zoom Out and Observe: News Environment Perception for Fake News Detection
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.354openalex-snapshot
FaVIQ: FAct Verification from Information-seeking Questions
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.92openalex-snapshot
WatClaimCheck: A new Dataset for Claim Entailment and Inference
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.117openalex-snapshot
Modeling Information Change in Science Communication with Semantically Matched Paraphrases
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.229openalex-snapshot
Generating Literal and Implied Subquestions to Fact-check Complex Claims
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.397openalex-snapshot
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.403openalex-snapshot
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge
inferred← citeshttps://doi.org/10.18653/v1/2022.fever-1openalex-snapshot
Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER)
inferred← citeshttps://doi.org/10.18653/v1/2022.fever-1.4openalex-snapshot
Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”?
inferred← citeshttps://doi.org/10.18653/v1/2022.fever-1.5openalex-snapshot
A Semantics-Aware Approach to Automated Claim Verification
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.1openalex-snapshot
PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.122openalex-snapshot
The Role of Context in Detecting Previously Fact-Checked Claims
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.94openalex-snapshot
A Survey on Stance Detection for Mis- and Disinformation Identification
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.246openalex-snapshot
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.386openalex-snapshot
Fact-Checking Complex Claims with Program-Guided Reasoning
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.895openalex-snapshot
FactKG: Fact Verification via Reasoning on Knowledge Graphs
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.910openalex-snapshot
RARR: Researching and Revising What Language Models Say, Using Language Models
inferred← citeshttps://doi.org/10.18653/v1/2023.eacl-main.14openalex-snapshot
COVID-VTS: Fact Extraction and Verification on Short Video Platforms
inferred← citeshttps://doi.org/10.18653/v1/2023.eacl-main.194openalex-snapshot
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.521openalex-snapshot
QA-NatVer: Question Answering for Natural Logic-based Fact Verification
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.703openalex-snapshot
Countering Misinformation via Emotional Response Generation
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.949openalex-snapshot
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.387openalex-snapshot
Scientific Fact-Checking: A Survey of Resources and Approaches
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-eacl.13openalex-snapshot
Implicit Temporal Reasoning for Evidence-Based Fact-Checking
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-eacl.14openalex-snapshot
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.251openalex-snapshot
The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.307openalex-snapshot
Automatic Evaluation of Attribution by Large Language Models
inferred← citeshttps://doi.org/10.18653/v1/2023.ijcnlp-main.34openalex-snapshot
Investigating Zero- and Few-shot Generalization in Fact Verification
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3007151/v1openalex-snapshot
Robust and Efficient Claim Retrieval for Online Fact-Checking Applications
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9851150/v1openalex-snapshot
VeritasAI Multi Agent Framework for Explainable Fake News Detection Using Retrieval Augmented Generation
inferred← citeshttps://doi.org/10.2196/26065openalex-snapshot
Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning
inferred← citeshttps://doi.org/10.24963/ijcai.2021/619openalex-snapshot
Automated Fact-Checking for Assisting Human Fact-Checkers
inferred← citeshttps://doi.org/10.25300/misq/2024/17542openalex-snapshot
Fake News and True News Assessment: The Persuasive Effect of Discursive Evidence in Judging Veracity
inferred← citeshttps://doi.org/10.26615/978-954-452-072-4_113openalex-snapshot
COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing
inferred← citeshttps://doi.org/10.26615/978-954-452-072-4_114openalex-snapshot
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar
inferred← citeshttps://doi.org/10.3389/frai.2024.1341697openalex-snapshot
The perils and promises of fact-checking with large language models
inferred← citeshttps://doi.org/10.3390/app132312608openalex-snapshot
Explainability of Automated Fact Verification Systems: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/app15041970openalex-snapshot
CARAG: A Context-Aware Retrieval Framework for Fact Verification, Integrating Local and Global Perspectives of Explainable AI
inferred← citeshttps://doi.org/10.3390/cmsf2022003010openalex-snapshot
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
inferred← citeshttps://doi.org/10.3390/info12090376openalex-snapshot
CNMF: A Community-Based Fake News Mitigation Framework
inferred← citeshttps://doi.org/10.3390/info13100500openalex-snapshot
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
inferred← citeshttps://doi.org/10.3390/systems11090458openalex-snapshot
Sustainable Development of Information Dissemination: A Review of Current Fake News Detection Research and Practice
inferred← citeshttps://doi.org/10.3390/technologies12110222openalex-snapshot
Fake News Detection Revisited: An Extensive Review of Theoretical Frameworks, Dataset Assessments, Model Constraints, and Forward-Looking Research Agendas
inferred← citeshttps://doi.org/10.48550/arxiv.2010.01061openalex-snapshot
Data-Efficient Pretraining via Contrastive Self-Supervision
inferred← citeshttps://doi.org/10.48550/arxiv.2102.01951openalex-snapshot
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
inferred← citeshttps://doi.org/10.48550/arxiv.2102.11276openalex-snapshot
Factorization of Fact-Checks for Low Resource Indian Languages
inferred← citeshttps://doi.org/10.48550/arxiv.2103.02462openalex-snapshot
University of Copenhagen Participation in TREC Health Misinformation Track 2020
inferred← citeshttps://doi.org/10.48550/arxiv.2103.05944openalex-snapshot
How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution
inferred← citeshttps://doi.org/10.48550/arxiv.2107.12303openalex-snapshot
The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.2108.05419openalex-snapshot
NoFake at CheckThat! 2021: Fake News Detection Using BERT
inferred← citeshttps://doi.org/10.48550/arxiv.2108.10274openalex-snapshot
Towards Explainable Fact Checking
inferred← citeshttps://doi.org/10.48550/arxiv.2108.13493openalex-snapshot
Semi-Supervised Exaggeration Detection of Health Science Press Releases
inferred← citeshttps://doi.org/10.48550/arxiv.2109.12987openalex-snapshot
Overview of the CLEF-2021 CheckThat! Lab Task 2 on detecting previously fact-checked claims in tweets and political debates
inferred← citeshttps://doi.org/10.48550/arxiv.2111.01706openalex-snapshot
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking
inferred← citeshttps://doi.org/10.48550/arxiv.2111.03299openalex-snapshot
Dataset of Fake News Detection and Fact Verification: A Survey
inferred← citeshttps://doi.org/10.70675/3e02a3a6z8281z4d84z8f38ze617eaaf969bopenalex-snapshot
Employing Transformers and Humans for Textual-Claim Verification
inferred← citeshttps://doi.org/10.70675/87ca97d1z017cz478azac26z38a64f0a75e0openalex-snapshot
Text Generation with and without Retrieval
inferred← citeshttps://doi.org/10.7916/d8-71fz-xg62openalex-snapshot
Content Selection for Effective Counter-Argument Generation
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