Papers Deception Detection
“Deception Detection” 태그가 달린 논문 122편 · 필터 해제
Deception Detection in Dyadic Exchanges Using Multimodal Machine Learning: A Study on a Swedish Cohort
This study investigates the efficacy of using multimodal machine learning techniques to detect deception in dyadic interactions, focusing on the integration of data from both the deceiver and the deceived. We compare ear…
Deception DetectionHidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings
Detecting deception in an increasingly digital world is both a critical and challenging task. In this study, we present a comprehensive evaluation of the automated deception detection capabilities of Large Language Model…
Deception DetectionWhat if Deception Cannot be Detected? A Cross-Linguistic Study on the Limits of Deception Detection from Text
Can deception be detected solely from written text? Cues of deceptive communication are inherently subtle, even more so in text-only communication. Yet, prior studies have reported considerable success in automatic decep…
Deception DetectionAmong Us: A Sandbox for Measuring and Detecting Agentic Deception
Prior studies on deception in language-based AI agents typically assess whether the agent produces a false statement about a topic, or makes a binary choice prompted by a goal, rather than allowing open-ended deceptive b…
Deception DetectionShould I Trust You? Detecting Deception in Negotiations using Counterfactual RL
An increasingly prevalent socio-technical problem is people being taken in by offers that sound ``too good to be true'', where persuasion and trust shape decision-making. This paper investigates how \abr{ai} can help det…
counterfactualDeception DetectionDecision MakingFriction+3When lies are mostly truthful: automated verbal deception detection for embedded lies
Background: Verbal deception detection research relies on narratives and commonly assumes statements as truthful or deceptive. A more realistic perspective acknowledges that the veracity of statements exists on a continu…
Deception DetectionEffective faking of verbal deception detection with target-aligned adversarial attacks
Background: Deception detection through analysing language is a promising avenue using both human judgments and automated machine learning judgments. For both forms of credibility assessment, automated adversarial attack…
Adversarial AttackDeception DetectionLanguage ModelingLanguage Modelling+1AFFAKT: A Hierarchical Optimal Transport based Method for Affective Facial Knowledge Transfer in Video Deception Detection
The scarcity of high-quality large-scale labeled datasets poses a huge challenge for employing deep learning models in video deception detection. To address this issue, inspired by the psychological theory on the relatio…
Deception DetectionRelation MappingTransfer LearningVariation between Credible and Non-Credible News Across Topics
'Fake News' continues to undermine trust in modern journalism and politics. Despite continued efforts to study fake news, results have been conflicting. Previous attempts to analyse and combat fake news have largely focu…
Deception DetectionMisinformationLiterature Meets Data: A Synergistic Approach to Hypothesis Generation
AI holds promise for transforming scientific processes, including hypothesis generation. Prior work on hypothesis generation can be broadly categorized into theory-driven and data-driven approaches. While both have prove…
Deception DetectionDecision MakingEffects of Soft-Domain Transfer and Named Entity Information on Deception Detection
In the modern age an enormous amount of communication occurs online, and it is difficult to know when something written is genuine or deceitful. There are many reasons for someone to deceive online (e.g., monetary gain, …
Deception DetectionTransfer LearningHow Entangled is Factuality and Deception in German?
The statement "The earth is flat" is factually inaccurate, but if someone truly believes and argues in its favor, it is not deceptive. Research on deception detection and fact checking often conflates factual accuracy wi…
Deception DetectionFact CheckingNatural Language InferenceMDPE: A Multimodal Deception Dataset with Personality and Emotional Characteristics
Deception detection has garnered increasing attention in recent years due to the significant growth of digital media and heightened ethical and security concerns. It has been extensively studied using multimodal methods,…
Deception DetectionEmotion RecognitionAdvancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and Analysis
With the exponential increase in video content, the need for accurate deception detection in human-centric video analysis has become paramount. This research focuses on the extraction and combination of various features …
Deception DetectionFeature EngineeringIdentity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
In this work, we focus on a special group of human body language -- the micro-gesture (MG), which differs from the range of ordinary illustrative gestures in that they are not intentional behaviors performed to convey in…
Action RecognitionDeception DetectionEmotional IntelligenceGesture Recognition+1Benchmarking Cross-Domain Audio-Visual Deception Detection
Automated deception detection is crucial for assisting humans in accurately assessing truthfulness and identifying deceptive behavior. Conventional contact-based techniques, like polygraph devices, rely on physiological …
BenchmarkingDeception DetectionDomain GeneralizationA Roadmap for Multilingual, Multimodal Domain Independent Deception Detection
Deception, a prevalent aspect of human communication, has undergone a significant transformation in the digital age. With the globalization of online interactions, individuals are communicating in multiple languages and …
Computer SecurityDeception DetectionDeception in Reinforced Autonomous Agents
We explore the ability of large language model (LLM)-based agents to engage in subtle deception such as strategically phrasing and intentionally manipulating information to misguide and deceive other agents. This harmful…
Deception DetectionHallucinationLanguage ModelingLanguage Modelling+2MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
Deceptive reviews are becoming increasingly common, especially given the increase in performance and the prevalence of LLMs. While work to date has addressed the development of models to differentiate between truthful an…
Deception DetectionCan Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning
Deception detection has attracted increasing attention due to its importance in real-world scenarios. Its main goal is to detect deceptive behaviors from multimodal clues such as gestures, facial expressions, prosody, et…
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