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Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Automatic deception detection: Methods for finding fake news
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False Information Detection on Social Media via a Hybrid Deep Model
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A Multi-semantics Classification Method Based on Deep Learning for Incredible Messages on Social Media
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Semi-supervised Content-Based Detection of Misinformation via Tensor Embeddings
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Augmented Multi-Task Learning by Optimal Transport
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Information credibility on twitter
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Automatic detection of rumor on Sina Weibo
inferredcites →https://doi.org/10.1145/3184558.3188729openalex-snapshot
Detect Rumor and Stance Jointly by Neural Multi-task Learning
inferredcites →https://doi.org/10.1145/3308558.3313718openalex-snapshot
Reply-Aided Detection of Misinformation via Bayesian Deep Learning
inferredcites →https://doi.org/10.1257/jep.31.2.211openalex-snapshot
Social Media and Fake News in the 2016 Election
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
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DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
inferredcites →https://doi.org/10.18653/v1/n18-1070openalex-snapshot
Automatic Stance Detection Using End-to-End Memory Networks
inferredcites →https://doi.org/10.18653/v1/n18-1111openalex-snapshot
Multinomial Adversarial Networks for Multi-Domain Text Classification
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/p16-2064openalex-snapshot
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter
inferredcites →https://doi.org/10.18653/v1/p17-1001openalex-snapshot
Adversarial Multi-task Learning for Text Classification
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/p18-1022openalex-snapshot
A Stylometric Inquiry into Hyperpartisan and Fake News
inferredcites →https://doi.org/10.18653/v1/p18-1184openalex-snapshot
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
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/s17-2081openalex-snapshot
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification
inferredcites →https://doi.org/10.18653/v1/w17-4214openalex-snapshot
Fake news stance detection using stacked ensemble of classifiers
inferredcites →https://doi.org/10.18653/v1/w18-5523openalex-snapshot
An End-to-End Multi-task Learning Model for Fact Checking
inferredcites →https://doi.org/10.24963/ijcai.2018/533openalex-snapshot
Neural User Response Generator: Fake News Detection with Collective User Intelligence
inferredcites →https://doi.org/10.3386/w23089openalex-snapshot
Social Media and Fake News in the 2016 Election
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/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1806.03713openalex-snapshot
All-in-one: Multi-task Learning for Rumour Verification
inferredcites →https://doi.org/10.48550/arxiv.1811.00770openalex-snapshot
A Survey on Natural Language Processing for Fake News Detection
inferredcites →https://doi.org/10.82444/warw.33763990openalex-snapshot
All-in-one : multi-task learning for rumour verification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Fake News Detection Through Topic Modeling and Optimized Deep Learning with Multi-Domain Knowledge Sources
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Evidence-Based Early Rumor Verification in Social Media
inferred← citeshttps://doi.org/10.1007/978-3-031-28238-6_33openalex-snapshot
Detecting Stance of Authorities Towards Rumors in Arabic Tweets: A Preliminary Study
inferred← citeshttps://doi.org/10.1007/978-981-16-7657-4_31openalex-snapshot
Learning Conversational Stance from Multiple Views of Social Graph Using Multitask and Other Approaches
inferred← citeshttps://doi.org/10.1007/s10044-025-01412-1openalex-snapshot
Dmvae: a dual-stream multi-modal variational autoencoder for multi-task fake news detection
inferred← citeshttps://doi.org/10.1007/s10844-025-00966-0openalex-snapshot
Semantic-aware fake news detection with heterogeneous graph attention
inferred← citeshttps://doi.org/10.1007/s13042-023-01877-8openalex-snapshot
A writing style-based multi-task model with the hierarchical attention for rumor detection
inferred← citeshttps://doi.org/10.1007/s13278-023-01189-3openalex-snapshot
Are authorities denying or supporting? Detecting stance of authorities towards rumors in Twitter
inferred← citeshttps://doi.org/10.1007/s41870-023-01541-yopenalex-snapshot
Leveraging transfer learning for detecting misinformation on social media
inferred← citeshttps://doi.org/10.1007/s42001-021-00146-4openalex-snapshot
Determining political interests of issue-motivated groups on social media: joint topic models for issues, sentiment and stance
inferred← citeshttps://doi.org/10.1007/s42001-025-00408-5openalex-snapshot
“Even I believed it! How is it possible?” The disinformation exam of journalists in the AI age: fuzzy logical approach
inferred← citeshttps://doi.org/10.1007/s44443-025-00038-xopenalex-snapshot
Courtroom-FND: a multi-role fake news detection method based on argument switching-based courtroom debate
inferred← citeshttps://doi.org/10.1016/j.aiopen.2022.09.001openalex-snapshot
Deep learning for fake news detection: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121735openalex-snapshot
From single-task to multi-task: Unveiling the dynamics of knowledge transfers in disinformation detection
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102631openalex-snapshot
Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103265openalex-snapshot
Context-aware style learning and content recovery networks for neural style transfer
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103325openalex-snapshot
Towards sentiment and Temporal Aided Stance Detection of climate change tweets
inferred← citeshttps://doi.org/10.1016/j.jbi.2021.103955openalex-snapshot
Automatic detection of COVID-19 vaccine misinformation with graph link prediction
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115668openalex-snapshot
SABER: Integrating sentiment and stance detection for climate change discourse on social media
inferred← citeshttps://doi.org/10.1108/978-1-80071-597-420221030openalex-snapshot
Digital Misinformation & Disinformation: The Global War of Words
inferred← citeshttps://doi.org/10.1108/ijwis-09-2024-0280openalex-snapshot
DSEN-EK: Dual-layer Semantic Information Extraction Network with External Knowledge for Fake News Detection
inferred← citeshttps://doi.org/10.1109/access.2024.3357661openalex-snapshot
Utilizing Ensemble Learning for Detecting Multi-Modal Fake News
inferred← citeshttps://doi.org/10.1109/cises66934.2025.11265068openalex-snapshot
FakeNews Buster: A Continual Learning Approach with BERT and FastFormer for Adaptive and Explainable Fake News Detection
inferred← citeshttps://doi.org/10.1109/csci62032.2023.00142openalex-snapshot
Advancements in Fake News Detection Using Machine and Deep Learning Models: Comprehensive Literature Review
inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10437971openalex-snapshot
Assessing User's Credibility to Enhance Deep Learning-Based Misinformation Detection on Social Media
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650542openalex-snapshot
Graph Attention Network with Cross-Modal Interaction for Rumor Detection
inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00096openalex-snapshot
Generative Information Debiasing and Multi-Task Optimization for Fake News Detection
inferred← citeshttps://doi.org/10.1109/mita60795.2024.10751736openalex-snapshot
Rumor Detection by Jointly Learning Propagation Patterns and Users’ Personas
inferred← citeshttps://doi.org/10.1109/tcss.2024.3443275openalex-snapshot
DGCN-TES: Dynamic GCN-Based Multitask Model With Temporal Event Sharing for Rumor Detection
inferred← citeshttps://doi.org/10.1109/tkde.2021.3103833openalex-snapshot
Category-controlled Encoder-Decoder for Fake News Detection
inferred← citeshttps://doi.org/10.1109/tkde.2023.3280555openalex-snapshot
Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection
inferred← citeshttps://doi.org/10.1109/tmm.2021.3065498openalex-snapshot
Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection
inferred← citeshttps://doi.org/10.1145/3340531.3411868openalex-snapshot
Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis
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A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A Survey
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Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning
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A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets
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Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
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A Multi-Reading Habits Fusion Adversarial Network for Multi-Modal Fake News Detection
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See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection
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A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change Tweets
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DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
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Unified Dual-view Cognitive Model for Interpretable Claim Verification
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Structurizing Misinformation Stories via Rationalizing Fact-Checks
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Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge
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Dynamic Graph Transformer for Implicit Tag Recognition
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Transformer-based Multi-Task Learning for Adverse Effect Mention Analysis in Tweets
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MMVAE at SemEval-2022 Task 5: A Multi-modal Multi-task VAE on Misogynous Meme Detection
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Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification
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Motivations, Methods and Metrics of Misinformation Detection: An NLP Perspective
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Efficient Neural Network Method for Rumour Detection over Social Media
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Trust-Aware Evidence Reasoning and Spatiotemporal Feature Aggregation for Explainable Fake News Detection
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Fake News Detection Based on Knowledge-Guided Semantic Analysis
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Cross-Lingual Cross-Domain Transfer Learning for Rumor Detection
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H-FuseNet: A Hybrid Multi-Representation Fusion Framework for Robust Misinformation Detection
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Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition
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Dynamically Addressing Unseen Rumor via Continual Learning
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