Browse State-of-the-Art › Rumour Detection
Rumour Detection
23 papers with code · 2 benchmarks · 4 datasets archive 2025-07-28
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.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Sepehr_RumTel01 (4 rows) | ParsBERT+PCapsNet +SA+Title+ Auxiliary | A Deep Content-Based Model for Persian Rumor Verification | — | — | Compare |
| 1 (1 row) | CMA_R | CMA-R:Causal Mediation Analysis for Explaining Rumour Detection | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
23 shown of 23 papers with code (98 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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14 Apr 2021 2 repositories listedAs 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.
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1 Sep 2019 2 repositories listedIn our experiments, monolinugal scores reach stance-based veracity accuracy of 0.
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24 Oct 2016 2 repositories listedIn this paper we introduce a novel approach to rumour detection that learns from the sequential dynamics of reporting during breaking news in social media to detect rumours in new stories.
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11 Apr 2024 1 repository listedTo the end, we employ two prompting-based LLM variants (GPT-3.
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13 Feb 2024 1 repository listedWe apply causal mediation analysis to explain the decision-making process of neural models for rumour detection on Twitter.
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14 Mar 2023 1 repository listedText classification methods have been widely investigated as a way to detect content of low credibility: fake news, social media bots, propaganda, etc.
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1 Oct 2022 1 repository listedWhile there is much research on cross-domain text classification, most existing approaches focus on one-to-one or many-to-one domain adaptation.
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15 Sep 2022 1 repository listed Syntology ran 0 of 6 samples · 6 unverifiedThe 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…
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1 Jul 2022 1 repository listedSocial media rumours, a form of misinformation, can mislead the public and cause significant economic and social disruption.
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10 Dec 2021 1 repository listedOccurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace.
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25 Nov 2021 1 repository listedIn recent years, visual forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security.
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1 Aug 2021 1 repository listed
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24 Feb 2021 1 repository listedWe 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…
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14 Oct 2020 1 repository listedTowards 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.
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14 May 2020 1 repository listedThe inability to correctly resolve rumours circulating online can have harmful real-world consequences.
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5 Mar 2020 1 repository listedIn applying this, we out-perform the state of the art in two of the three tasks studied for claim check-worthiness detection in English.
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8 Sep 2019 1 repository listedIn particular, language evolution causes data drift between time-steps in sequential decision-making tasks.
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2 Jul 2019 1 repository listedFurthermore, experiments show that stance labels can be used across languages and platforms with a HMM to predict the veracity of rumours, achieving an accuracy of 0.
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5 Apr 2019 1 repository listedThe goal of subtask B is to predict the veracity of a given rumor.
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25 Feb 2019 1 repository listedThis paper describes our system submitted to SemEval 2019 Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours, Subtask A (Gorrell et al., 2019).
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7 Jan 2019 1 repository listedOn this line, a new shared task has been proposed at SemEval-2017 (Task 8, SubTask A), which is focused on rumour stance classification in English tweets.
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1 Jul 2018 1 repository listedAutomatic rumor detection is technically very challenging.
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24 Apr 2017 1 repository listedThis paper describes team Turing's submission to SemEval 2017 RumourEval: Determining rumour veracity and support for rumours (SemEval 2017 Task 8, Subtask A).
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections