Information Science Reference Cross-Media Authentication and Verification: Emerging Research and Opportunities

As media becomes more readily available in the digital age, it also becomes more vulnerable to tampering and manipulation, making techniques for verifying reliable news and media sources essential. Understanding online technologies' role in shaping the media environment allows for insight into the correlations between the rapidly transforming media landscape and its unwanted effect on news and content tampering. Cross-Media Authentication and Verification: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of verifying the newsgathering and publishing process. While highlighting topics including human authentication, information evaluation, and tampered content, this book is ideally designed for researchers, students, publishers, and academicians seeking current research on media authenticity and misinformation. About the Author Anastasia Katsaounidou received her under-Graduate Diploma in Political Sciences from Faculty of Law, Economic and Political Sciences, Aristotle University of Thessaloniki (Auth) in 2013 and her Post-Graduate Diploma in Journalism and New Media from School of Journalism & Mass Media Communication, Faculty of Economics and Political Sciences, Auth in 2016. Her Master Thesis deal with Content authenticity issues: detection of untruthful news stories from human and machines. She is currently a PhD student in School of Journalism & Mass Media Communication researching Interactive and collaborative environments to support digital content authentication. Her interests include social media, user generated content, non-linear storytelling, forensics, mediated learning, multimedia, media authentication, semantic web. Her interests include social media, user generated content, non-linear storytelling, forensics, mediated learning, multimedia, media authentication, semantic web.Charalampos A. Dimoulas received his diploma and PhD from the School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki (AUTh) in 1997 and 2006, respectively. In 2008, he received scholarship on post-doctoral research at the Laboratory of Electronic Media of the School of Journalism and Mass Communications of AUTh. Both his doctoral dissertation and his post-doc research deal with advanced audio-visual processing and content management techniques for intelligent analysis of prolonged multi-channel recordings. He was elected Lecturer (November 2009) and Assistant Professor (June 2014) of Electronic Media in the School of Journalism and Mass Communications, AUTh, where he is currently serving. His current scientific interests include media technologies, signal processing, machine learning, multi-modal intelligent content analysis, multimedia semantics, audiovisual content description and management automation. Dr. Dimoulas is member of IEEE, EURASIP and AES.