{"title":"同步计算机中介通信中自动欺骗检测的特征比较","authors":"Jinie Pak, Lina Zhou","doi":"10.1109/ISI.2015.7165955","DOIUrl":null,"url":null,"abstract":"This research aims to compare the performance of automatic deception detection in synchronous computer-mediated communication (CMC) with and without incorporating structural features. In addition, the development of deception detection models draws on the linguistic features that have been widely studied in the online deception literature. The results suggest that structural features can be effective in detecting deception and combining the structural features with linguistic features can improve the performance of detecting deception.","PeriodicalId":292352,"journal":{"name":"2015 IEEE International Conference on Intelligence and Security Informatics (ISI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A comparison of features for automatic deception detection in synchronous computer-mediated communication\",\"authors\":\"Jinie Pak, Lina Zhou\",\"doi\":\"10.1109/ISI.2015.7165955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research aims to compare the performance of automatic deception detection in synchronous computer-mediated communication (CMC) with and without incorporating structural features. In addition, the development of deception detection models draws on the linguistic features that have been widely studied in the online deception literature. The results suggest that structural features can be effective in detecting deception and combining the structural features with linguistic features can improve the performance of detecting deception.\",\"PeriodicalId\":292352,\"journal\":{\"name\":\"2015 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI.2015.7165955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Intelligence and Security Informatics (ISI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2015.7165955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison of features for automatic deception detection in synchronous computer-mediated communication
This research aims to compare the performance of automatic deception detection in synchronous computer-mediated communication (CMC) with and without incorporating structural features. In addition, the development of deception detection models draws on the linguistic features that have been widely studied in the online deception literature. The results suggest that structural features can be effective in detecting deception and combining the structural features with linguistic features can improve the performance of detecting deception.