Ali Khodabakhsh, C. Busch, Ramachandra Raghavendra
{"title":"A Taxonomy of Audiovisual Fake Multimedia Content Creation Technology","authors":"Ali Khodabakhsh, C. Busch, Ramachandra Raghavendra","doi":"10.1109/MIPR.2018.00082","DOIUrl":null,"url":null,"abstract":"The spread of fake and misleading multimedia content on social media has become commonplace and is effecting society and its decision procedures negatively in many ways. One special case of exploiting fake content is where the deceiver uses the credibility of a trustworthy source as the means of spreading disinformation. Thanks to advancements in technology, the creation of such content is becoming possible in audiovisual form with limited technical knowledge and at low cost. The potential harm of circulation of these content in media calls for the development of automated detection methods. This paper offers a categorization of such fake content creation technology in an attempt to facilitate further study on generalized countermeasures for their detection.","PeriodicalId":320000,"journal":{"name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIPR.2018.00082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The spread of fake and misleading multimedia content on social media has become commonplace and is effecting society and its decision procedures negatively in many ways. One special case of exploiting fake content is where the deceiver uses the credibility of a trustworthy source as the means of spreading disinformation. Thanks to advancements in technology, the creation of such content is becoming possible in audiovisual form with limited technical knowledge and at low cost. The potential harm of circulation of these content in media calls for the development of automated detection methods. This paper offers a categorization of such fake content creation technology in an attempt to facilitate further study on generalized countermeasures for their detection.