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Misinformation

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ukplab/emnlp2022-missing-counter-evidence

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Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation

https://github.com/ukplab/naacl2025-cove

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COVE: COntext and VEracity prediction for out-of-context images

https://github.com/umd-huang-lab/vlm-poisoning

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Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

https://github.com/usc-fortis/ad-llm

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AD-LLM: Benchmarking Large Language Models for Anomaly Detection

https://github.com/usc-isi-i2/forecast-argument

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Contextualizing Argument Quality Assessment with Relevant Knowledge

https://github.com/usc-isi-i2/logical-fallacy-identification

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Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments

https://github.com/usc-melady/constructing-misinformation-datasets-www-2022

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Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement

https://github.com/uuugaga/defactify_4

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Team NYCU at Defactify4: Robust Detection and Source Identification of AI-Generated Images Using CNN and CLIP-Based Models

https://github.com/uzh-dqbm-cmi/auto-discern

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AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks

https://github.com/varadhbhatnagar/fc-claim-det

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Harnessing Abstractive Summarization for Fact-Checked Claim Detection

https://github.com/vimal-isi-edu/BioFors

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BioFors: A Large Biomedical Image Forensics Dataset

https://github.com/vladhondru25/exddv

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ExDDV: A New Dataset for Explainable Deepfake Detection in Video

https://github.com/wang2226/folk

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Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models

https://github.com/wangbing1416/daedcmd

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Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors

https://github.com/wangbing1416/hami-m3d

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Harmfully Manipulated Images Matter in Multimodal Misinformation Detection

https://github.com/wangbing1416/md-pcc

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Robust Misinformation Detection by Visiting Potential Commonsense Conflict

https://github.com/wanyingzhao/collective_narrative_shift

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Discovering collective narratives shifts in online discussions

https://github.com/whr000001/dell

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DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection

https://github.com/wiki-contradictory/wiki-self-contradictory

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WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia

https://github.com/williamscott701/Cross-SEAN

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Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection

https://github.com/wind-2375-like/misinfo-prop

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Unraveling Misinformation Propagation in LLM Reasoning

https://github.com/wishever/mmidr

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MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

https://github.com/wjdghks950/discern-and-answer

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Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

https://github.com/wwweiwei/pre-cofactv2-aaai-2023

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Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification

https://github.com/wywywang/multi-modal-fact-verification-2021

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Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification

https://github.com/xianggebenben/ivgd

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An Invertible Graph Diffusion Neural Network for Source Localization

https://github.com/xiaobo-guo/The-Computational-Anatomy-of-Humility-Modeling-Intellectual-Humility-in-Online-Public-Discourse

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The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse

https://github.com/xinyuwang1998/linguistic-underpinning

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Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter

https://github.com/xsc1234/genrt

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List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation

https://github.com/yanfangh/covid-rumor-stance

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The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation

https://github.com/yibing-du/adversarial-factcheck

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Synthetic Disinformation Attacks on Automated Fact Verification Systems

https://github.com/yidamu/misinfo_debunker_and_spreader

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Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media

https://github.com/ying0409/sega

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SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter

https://github.com/yingtongdou/crossfake

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Cross-lingual COVID-19 Fake News Detection

https://github.com/yliuaa/MIMoE-FND

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Modality Interactive Mixture-of-Experts for Fake News Detection

https://github.com/yny0506/massive-videos-moment-retrieval

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MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors

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