Fake News Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

10 leaderboard tables shown for this task, 10 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.

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

30 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

30 shown of 203 papers with code (490 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.

• "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
  1 May 2017 11 repositories listed
  In this paper, we present liar: a new, publicly available dataset for fake news detection.
• Fake News Detection on Social Media: A Data Mining Perspective
  7 Aug 2017 10 repositories listed
  First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult and nontrivial to detect based on news content; therefore, we need to include auxiliary information,…
• Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
  19 May 2021 6 repositories listed
  The proliferation of fake news, i.
• Defending Against Neural Fake News
  29 May 2019 4 repositories listed Syntology ran 1 of 10 samples · 9 unverified · 10 pointer-only (licence)
  We find that best current discriminators can classify neural fake news from real, human-written, news with 73% accuracy, assuming access to a moderate level of training data.
• Fake News Detection on Social Media using Geometric Deep Learning
  10 Feb 2019 4 repositories listed Syntology ran 2 of 12 samples · 10 unverified · 1 pointer-only (licence)
  One of the main reasons is that often the interpretation of the news requires the knowledge of political or social context or 'common sense', which current NLP algorithms are still missing.
• TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
  27 Sep 2021 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Recent progress in generative language models has enabled machines to generate astonishingly realistic texts.
• r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
  10 Nov 2019 3 repositories listed
  We construct hybrid text+image models and perform extensive experiments for multiple variations of classification, demonstrating the importance of the novel aspect of multimodality and fine-grained classification unique…
• Fake News Detection: It's All in the Data!
  2 Jul 2024 2 repositories listed
  This comprehensive survey serves as an indispensable resource for researchers embarking on the journey of fake news detection.
• TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection
  19 Apr 2023 2 repositories listed
  We also propose a scale-dot product attention mechanism to capture the similarity between title features and textual features.
• Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
  20 Oct 2021 2 repositories listed
  Increasing amounts of freely available data both in textual and relational form offers exploration of richer document representations, potentially improving the model performance and robustness.
• User Preference-aware Fake News Detection
  25 Apr 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  The majority of existing fake news detection algorithms focus on mining news content and/or the surrounding exogenous context for discovering deceptive signals; while the endogenous preference of a user when he/she…
• The Surprising Performance of Simple Baselines for Misinformation Detection
  14 Apr 2021 2 repositories listed
  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.
• Transformer based Automatic COVID-19 Fake News Detection System
  1 Jan 2021 2 repositories listed
  For our analysis in this paper, we report a methodology to analyze the reliability of information shared on social media pertaining to the COVID-19 pandemic.
• Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
  7 Oct 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  The search can directly warn fake news posters and online users (e.
• Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
  1 Sep 2020 2 repositories listed
  The rampant integration of social media in our every day lives and culture has given rise to fast and easier access to the flow of information than ever in human history.
• Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
  7 Jul 2020 2 repositories listed
  (2) GNNs trained on a given dataset may perform poorly on new, unseen data, and direct incremental training cannot solve the problem---this issue has not been addressed in the previous work that applies GNNs for fake…
• Fake news detection using Deep Learning
  29 Sep 2019 2 repositories listed
  The evolution of the information and communication technologies has dramatically increased the number of people with access to the Internet, which has changed the way the information is consumed.
• Learning Hierarchical Discourse-level Structure for Fake News Detection
  27 Feb 2019 2 repositories listed
  Incorporating hierarchical discourse-level structure of fake and real news articles is one crucial step toward a better understanding of how these articles are structured.
• Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
  17 Nov 2018 2 repositories listed
  Some news headlines mislead readers with overrated or false information, and identifying them in advance will better assist readers in choosing proper news stories to consume.
• TI-CNN: Convolutional Neural Networks for Fake News Detection
  3 Jun 2018 2 repositories listed
  By projecting the explicit and latent features into a unified feature space, TI-CNN is trained with both the text and image information simultaneously.
• FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network
  22 May 2018 2 repositories listed
  This paper aims at investigating the principles, methodologies and algorithms for detecting fake news articles, creators and subjects from online social networks and evaluating the corresponding performance.
• ``Liar, Liar Pants on Fire'': A New Benchmark Dataset for Fake News Detection
  1 Jul 2017 2 repositories listed
  In this paper, we present LIAR: a new, publicly available dataset for fake news detection.
• CSI: A Hybrid Deep Model for Fake News Detection
  20 Mar 2017 2 repositories listed
  Specifically, we incorporate the behavior of both parties, users and articles, and the group behavior of users who propagate fake news.
• DCR: Quantifying Data Contamination in LLMs Evaluation
  15 Jul 2025 1 repository listed
  The rapid advancement of large language models (LLMs) has heightened concerns about benchmark data contamination (BDC), where models inadvertently memorize evaluation data, inflating performance metrics and undermining…
• Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
  31 May 2025 1 repository listed
  Large Language Models (LLMs) can assist multimodal fake news detection by predicting pseudo labels.
• KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News Detection
  18 May 2025 1 repository listed
  By integrating explicit entity-level selection and NLI-guided filtering, we shift fake news detection from feature fusion to semantically grounded verification.
• Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
  11 May 2025 1 repository listed
  Furthermore, we propose a Shallow-Deep Multitask Learning (SDML) model for fake news, which fully uses unimodal and mutual modal features to mine the intrinsic semantics of news.
• A Python Tool for Reconstructing Full News Text from GDELT
  22 Apr 2025 1 repository listed
  News data have become an essential resource across various disciplines, including economics, finance, management, social sciences, and computer science.
• Multi-view autoencoders for Fake News Detection
  10 Apr 2025 1 repository listed
  Nevertheless, different feature extraction techniques can provide complementary information about the textual data and enable a more comprehensive representation of the content.
• Is Less Really More? Fake News Detection with Limited Information
  2 Apr 2025 1 repository listed
  For instance, fake news detection methods that rely on full text can be computationally inefficient, demand large amounts of training data to achieve competitive accuracy, and may lack robustness across different…

Syntology lines on 5 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.