Papers with Code 아카이브

Rumour Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 0
평가표: 2
보존된 평가 기록: 5

Rumor detection is the task of identifying rumors, i.e. statements whose veracity is not quickly or ever confirmed, in utterances on social media platforms.

코드

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

https://github.com/ComplexData-MILA/misinfo-baselines

공식 코드

The Surprising Performance of Simple Baselines for Misinformation Detection

https://github.com/DebanjanaKar/Covid19_FakeNews_Detection

공식 코드

No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection

https://github.com/LCS2-IIITD/Hyphen

공식 코드

Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

https://github.com/MFajcik/RumourEval2019

공식 코드

BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers

https://github.com/dadangewp/SemEval2017-RumourEval

공식 코드

Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure

https://github.com/dahlia-chehata/rumoureval-with-vllms

공식 코드

Rumour Evaluation with Very Large Language Models

https://github.com/danish-stance-detectors/RumourResolution

공식 코드

Danish Stance Classification and Rumour Resolution

https://github.com/eyalbd2/PADA

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PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains

https://github.com/kochkinaelena/Uncertainty4VerificationModels

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Estimating predictive uncertainty for rumour verification models

https://github.com/lschmelzeisen/clearumor

공식 코드

CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors

https://github.com/ltian678/cma-r

공식 코드

CMA-R:Causal Mediation Analysis for Explaining Rumour Detection

https://github.com/piotrmp/bodega

공식 코드

Verifying the Robustness of Automatic Credibility Assessment

https://github.com/rajdeep345/mtlts

공식 코드

MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs

https://github.com/tamlhp/dfd_benchmark

공식 코드

A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.