mlsanityData to 7 Oct 2026

A Deep Learning Approach for Multimodal Deception Detection

arXiv 1803.00344 ↗First posted 1 Mar 2018cs.CL cs.AI cs.CVcited by 14

Not on the map. Why?

Abstract (arXiv)

Automatic deception detection is an important task that has gained momentum in computational linguistics due to its potential applications. In this paper, we propose a simple yet tough to beat multi-modal neural model for deception detection. By combining features from different modalities such as video, audio, and text along with Micro-Expression features, we show that detecting deception in real life videos can be more accurate. Experimental results on a dataset of real-life deception videos show that our model outperforms existing techniques for deception detection with an accuracy of 96.14% and ROC-AUC of 0.9799.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Mar 2018.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 6; 2022: 2; 2023: 5; 2024: 1.

14 papers.

Sort:

  1. 2021MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targetscited by 85
  2. 2021A Survey on Multimodal Disinformation Detectioncited by 47
  3. 2023Combating Online Misinformation Videos: Characterization, Detection, and Future Directionscited by 14
  4. 2023Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learningcited by 14
  5. 2023Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awarenesscited by 11
  6. 2024MDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristicscited by 7
  7. 2022Hate Speech Classification Using SVM and Naive BAYEScited by 3
  8. 2021Deception detection in text and its relation to the cultural dimension of individualism/collectivismcited by 2
  9. 2021Deception Detection in Videos using the Facial Action Coding Systemcited by 2
  10. 2022Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspectivecited by 2
  11. 2021Constructing Robust Emotional State-based Feature with a Novel Voting Scheme for Multi-modal Deception Detection in Videoscited by 1
  12. 2021Machine Learning-based Lie Detector applied to a Novel Annotated Game Datasetcited by 1
2 more
  1. 2023LoRA-like Calibration for Multimodal Deception Detection using ATSFace Datacited by 0
  2. 2023Machine Learning Technique Based Fake News Detectioncited by 0