https://github.com/Networks-Learning/curb
공식 코드Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Papers with Code 아카이브
Misinformation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PalomaCantero/Deepfake-Detection-and-the-Impact-of-Limited-Computing-Capabilities
공식 코드Deepfake Detection and the Impact of Limited Computing Capabilities
https://github.com/Raldir/FEVEROUS
공식 코드FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
https://github.com/RoshanStacker/credulouschatbots
공식 코드Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot Memories
https://github.com/RubaP/Ex-Claim
공식 코드Entity-aware Cross-lingual Claim Detection for Automated Fact-checking
https://github.com/SSAW14/BeyondtheSpectrum
공식 코드https://github.com/Saraabdali/HiJoD-ECMLPKDD
공식 코드Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition
https://github.com/SarahAlqurashi/COVID-19-Arabic-Tweets-Dataset
공식 코드https://github.com/SarahAlqurashi/COVID19-Misinformation-dataset-
공식 코드Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter
https://github.com/Soumyadeepsar/Navigating-Nuance-In-Quest-for-Political-Truth
공식 코드https://github.com/Supermaxman/covid19-vaccine-twitter
공식 코드Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction
https://github.com/Supermaxman/pytorch-gleam
공식 코드https://github.com/TIBHannover/cross-modal_entity_consistency
공식 코드QuTI! Quantifying Text-Image Consistency in Multimodal Documents
https://github.com/TIMAN-group/covid19_misinformation
공식 코드https://github.com/TSKumarage/J-Guard
공식 코드J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
https://github.com/TSKumarage/Neural-Authorship-Attribution
공식 코드Neural Authorship Attribution: Stylometric Analysis on Large Language Models
https://github.com/TSKumarage/Stylo-Det-AI-Gen-Twitter-Timelines
공식 코드Stylometric Detection of AI-Generated Text in Twitter Timelines
https://github.com/Tariq60/arastance
공식 코드AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
https://github.com/Toloka/surveying-prof-writers-on-ai
공식 코드Surveying Professional Writers on AI: Limitations, Expectations, and Fears
https://github.com/UBC-NLP/megacov
공식 코드Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19
https://github.com/UKPLab/acl2024-missci
공식 코드https://github.com/UKPLab/arxiv2024-missciplus
공식 코드Grounding Fallacies Misrepresenting Scientific Publications in Evidence
https://github.com/UTAustin-SwarmLab/SecureSpectra
공식 코드SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures
https://github.com/WorldHellow/mHallucinations-LLM
공식 코드https://github.com/Y-L-LIU/MGTBench-2.0
공식 코드On the Generalization Ability of Machine-Generated Text Detectors
https://github.com/aakash4305/gbdf
공식 코드GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection
https://github.com/abdulazizasz/fairness_sentiment
공식 코드Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models
https://github.com/adauchendu/topformer
공식 코드TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles
https://github.com/adobe-research/videosham-dataset
공식 코드Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis
https://github.com/adverifai/Satire_vs_Fake
공식 코드Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues
https://github.com/afastowski/knowledge_drift
공식 코드Understanding Knowledge Drift in LLMs through Misinformation
https://github.com/ag-gipp/iConference22_COVID_misinformation
공식 코드Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
https://github.com/agarwalshruti15/wtw_project_page
공식 코드Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion
https://github.com/ahmed-abouzeid/mmss
공식 코드Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
https://github.com/ai-vtrc/exclaim
공식 코드ExClaim: Explainable Neural Claim Verification Using Rationalization
https://github.com/ai4society/infospread-neurips-24
공식 코드Towards Effective Planning Strategies for Dynamic Opinion Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.