Sinopsis
Due to the prevalence of social network service and social media, the problem of cyberbullying has risen to the forefront as a major social issue over the last decade. Internet hate, harassment, cyberstalking, cyberbullyingÔÇöthese terms, which were almost unknown 10 years agoÔÇöare in the everyday lexicon of all internet users. Unfortunately, it is becoming increasingly difficult to undertake continuous surveillance of websites as new ones are appearing daily. Methods for automatic detection and mitigation for online bullying have become necessary in order to protect the online user experience.
Automatic Cyberbullying Detection: Emerging Research and Opportunities provides innovative insights into online bullying and methods of early identification, mitigation, and prevention of harassing speech and activity. Explanations and reasoning for each of these applied methods are provided as well as their pros and cons when applied to the language of online bullying. Also included are some generalizations of cyberbullying as a phenomenon and how to approach the problem from a practical technology-backed point of view. The content within this publication represents the work of deep learning, language modeling, and web mining. It is designed for academicians, social media moderators, IT consultants, programmers, education administrators, researchers, and professionals and covers topics centered on identification methods and mitigation of internet hate and online harassment.
Acerca de los autores
Michal E. Ptaszynski was born in Wroclaw, Poland in 1981. He received the MA from the University of Adam Mickiewicz, Poznan, Poland, in 2006 in Japanese Studies / Linguistics. In year 2007 he joined Graduate School of Information Science and Technology, Hokkaido University, Japan, for his Ph.D. course, which he finished and earned his Ph.D. degree in 2010. In years 2010-2012 he was a JSPS Post-doctoral Research Fellow at the High-Tech Research Center, Hokkai-Gakuen University, Japan. Since 2013 to march 2018, Michal Ptaszynski was an Assistant Professor at Kitami Institute of Technology. Currently he is an Associate Professor at Kitami Institute of Technology. His research interests cross over linguistics, AI and psychology, and include such fields as natural language processing, information retrieval, human-computer interaction, science of emotions, affective computing, affect analysis, sentiment analysis, or science of emoticons. He is an author of over a hundred refereed scientific publications, with over one third of them being published in world class scientific journals. Some of the most important contributions of Michal Ptaszynski to the scientific community include: founding the field of science of emoticons, developing the first open-source affect analysis software for Japanese language, or creating a method for verification of contextual appropriateness of emotions. Together with Fumito Masui he also made the historically first attempt to tackle cyberbullying with the use of artificial intelligence, machine learning and natural language processing, which started a long-term study, concluding in the presented book. Michal E. Ptaszynski is a member of the following academic societies: The Association for Computational Linguistics (ACL), The Association for the Advancement of Artificial Intelligence (AAAI), The Institute of Electrical and Electronics Engineers (IEEE), The Association for Natural Language Processing (ANLP), The Information Processing Society of Japan (IPSJ), and The Japanese Society for Artificial Intelligence (JSAI).
Fumito Masui graduated Okayama University Faculty of Science in 1990. Later, worked at Oki Electric Industry Co., was an Assistant at Mie University Faculty of Engineering, and a Visiting Researcher at Graduate School of Information Science and Technology, Hokkaido University, in 2004. Since 2009 he has been an Associate Professor at Kitami Institute of Technology, Faculty of Engineering. He owns a Ph.D. in Engineering. He is an author of over three hundred publications and owns sixteen patents. His main contributions to the scientific community include creating a first named entity extraction tool for Japanese, founding the fields of automatic cyberbullying detection, and curling informatics. His research interests include natural language processing, tourism informatics, and curling informatics. Fumito Masui is a member of the following academic societies: The Association for the Advancement of Artificial Intelligence (AAAI); The Institute of Electrical and Electronics Engineers (IEEE); The Association for Natural Language Processing (ANLP); The Information Processing Society of Japan (IPSJ); The Japanese Society for Artificial Intelligence (JSAI); Institute of Electronics, Information, and Communication Engineers; Society for Fuzzy Theory and Intelligent Informatics (SOFT); Hokkaido Regional Tourism Society; and Japan Curling Association.
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