Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection最新文献

Silesian Deception Database: Presentation and Analysis 西里西亚欺骗数据库:呈现与分析

Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection Pub Date : 2015-11-13 DOI: 10.1145/2823465.2823469

Krystian Radlak, Maciej Bozek, B. Smolka

引用次数: 21

Multimodal Deception Detection: A t-pattern Approach 多模态欺骗检测:一种t型方法

Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection Pub Date : 2015-11-13 DOI: 10.1145/2823465.2823466

B. Diana, M. Elia, Valentino Zurloni, A. Elia, Alessandro Maisto, Serena Pelosi

{"title":"Multimodal Deception Detection: A t-pattern Approach","authors":"B. Diana, M. Elia, Valentino Zurloni, A. Elia, Alessandro Maisto, Serena Pelosi","doi":"10.1145/2823465.2823466","DOIUrl":"https://doi.org/10.1145/2823465.2823466","url":null,"abstract":"This work proposes a new approach to deception detection, based on finding significant differences between liars and truth tellers through the analysis of their behavior, verbal and non-verbal. This is based on the combination of two factors: multimodal data collection, and t-pattern analysis. Multimodal approach has been acknowledged in literature about deception detection and on several studies concerning the understanding of any communicative phenomenon. We believe a methodology such as T-pattern analysis could be able to get the best advantages from an approach that combines data coming from multiple signaling systems. In fact, T-pattern analysis is a recent methodology for the analysis of behavior that unveil the complex structure at the basis of the organization of human behavior. For this work, we conducted an experimental study and analyzed data related to a single subject. Results showed how T-pattern analysis allowed to find differences between truth telling and lying. This work aims at making progress in the state of knowledge about deception detection, with the final goal to propose a useful tool for the improvement of public security and well-being.","PeriodicalId":343906,"journal":{"name":"Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122663630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Misleading Online Content: Recognizing Clickbait as "False News" 误导性在线内容:识别标题党为“假新闻”

Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection Pub Date : 2015-11-13 DOI: 10.1145/2823465.2823467

Yimin Chen, Niall Conroy, Victoria L. Rubin

引用次数: 392

Cross-Cultural Production and Detection of Deception from Speech 言语欺骗的跨文化产生和检测

Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection Pub Date : 2015-11-13 DOI: 10.1145/2823465.2823468

Sarah Ita Levitan, Guozhen An, Mandi Wang, Gideon Mendels, Julia Hirschberg, Michelle Levine, A. Rosenberg

{"title":"Cross-Cultural Production and Detection of Deception from Speech","authors":"Sarah Ita Levitan, Guozhen An, Mandi Wang, Gideon Mendels, Julia Hirschberg, Michelle Levine, A. Rosenberg","doi":"10.1145/2823465.2823468","DOIUrl":"https://doi.org/10.1145/2823465.2823468","url":null,"abstract":"Detecting deception from different dimensions of human behavior has been a major goal of research in psychology and computational linguistics for some years and is currently of considerable interest to military and law enforcement agencies. However, relatively little work has been done to develop automatic methods to detect deception from spoken language or to compare deception detection and production between different cultures. We present results of experiments on a new corpus of deceptive and non-deceptive speech, collected from native speakers of Standard American English and Mandarin Chinese, all speaking English, to investigate acoustic, prosodic, and lexical cues to deception. We report first on the role of personality factors derived from the NEO-FFI (Neuroticism-Extraversion-Openness Five Factor Inventory) and of gender, ethnicity and confidence ratings on subjects? ability to deceive and to detect deception. We then present classification results discriminating deceptive from non-deceptive speech, using these features as well as acoustic and prosodic cues. We find that combining acoustic and prosodic features with information about the speaker?s personality, gender, and language results in a classification accuracy of 65.86%, which represents ~10% relative improvement from baseline accuracy.","PeriodicalId":343906,"journal":{"name":"Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117216093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 51

Trimodal Analysis of Deceptive Behavior 欺骗行为的三模态分析

Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection Pub Date : 2015-11-13 DOI: 10.1145/2823465.2823470

M. Abouelenien, Rada Mihalcea, Mihai Burzo

引用次数: 4