Deception Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (122 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.
• Literature Meets Data: A Synergistic Approach to Hypothesis Generation
  22 Oct 2024 3 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  Additionally, we conduct the first human evaluation to assess the utility of LLM-generated hypotheses in assisting human decision-making on two challenging tasks: deception detection and AI generated content detection.
• ``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.
• MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics
  17 Jul 2024 1 repository listed
  We believe that MDPE will become a valuable resource for promoting research in the field of affective computing.
• Advancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and Analysis
  8 Jul 2024 1 repository listed
  This study highlights the potential of strategic feature extraction and combination in developing reliable and transparent automated deception detection systems in video analysis, paving the way for more advanced and…
• MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
  19 Apr 2024 1 repository listed
  Using this dataset, we conduct extensive linguistic analyses to (1) compare the AI fake hotel reviews to real hotel reviews, and (2) identify the factors that influence the deception detection model performance.
• Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the Wild
  20 Jun 2023 1 repository listed
  Eye blinking detection in the wild plays an essential role in deception detection, driving fatigue detection, etc.
• UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection
  5 Jun 2023 1 repository listed
  Verbal deception has been studied in psychology, forensics, and computational linguistics for a variety of reasons, like understanding behaviour patterns, identifying false testimonies, and detecting deception in online…
• Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning
  9 Mar 2023 1 repository listed
  Despite this, deception detection research is hindered by the lack of high-quality deception datasets, as well as the difficulties of learning multimodal features effectively.
• Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective
  23 Nov 2022 1 repository listed
  Despite the great impact of lies in human societies and a meager 54% human accuracy for Deception Detection (DD), Machine Learning systems that perform automated DD are still not viable for proper application in…
• Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
  17 Dec 2021 1 repository listed
  Through our evaluation, we observe that for a linear bag-of-words model, participants with access to the feature coefficients during training are able to cause a larger reduction in model confidence in the testing phase…
• The Mafiascum Dataset: A Large Text Corpus for Deception Detection
  19 Nov 2018 1 repository listed
  Detecting deception in natural language has a wide variety of applications, but because of its hidden nature there are currently no public, large-scale sources of labeled deceptive text.

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.