Rumour Detection
21 papers with code • 1 benchmarks • 3 datasets
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.
Benchmarks
These leaderboards are used to track progress in Rumour Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Sepehr_RumTel01
CIDII Dataset
Latest papers
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
ltian678/cma-r
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We apply causal mediation analysis to explain the decision-making process of neural models for rumour detection on Twitter.
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
The surface-level signals expressed by a social-text itself may not be adequate for such tasks; therefore, recent methods attempted to incorporate other intrinsic signals such as user behavior and the underlying graph structure.
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs
rajdeep345/mtlts
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Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace.
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
In recent years, visual forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security.
The Surprising Performance of Simple Baselines for Misinformation Detection
ComplexData-MILA/misinfo-baselines
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As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours.
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
eyalbd2/PADA
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We address a challenging and underexplored version of this domain adaptation problem, where an algorithm is trained on several source domains, and then applied to examples from unseen domains that are unknown at training time.
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection
Towards this, we propose an approach to detect fake news about COVID-19 early on from social media, such as tweets, for multiple Indic-Languages besides English.
Estimating predictive uncertainty for rumour verification models
kochkinaelena/Uncertainty4VerificationModels
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ACL 2020
The inability to correctly resolve rumours circulating online can have harmful real-world consequences.
Claim Check-Worthiness Detection as Positive Unlabelled Learning
copenlu/check-worthiness-pu-learning
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Findings of the Association for Computational Linguistics 2020
In applying this, we out-perform the state of the art in two of the three tasks studied for claim check-worthiness detection in English.
Back to the Future -- Sequential Alignment of Text Representations
In particular, language evolution causes data drift between time-steps in sequential decision-making tasks.
