Bullying in the Internet Age: The State of Cyberbullying among Teens in Turkey, Sinan Asci
Автор: Betts Название: Cyberbullying ISBN: 1137500085 ISBN-13(EAN): 9781137500083 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Drawing on research evidence and media coverage, this book explores a number of key debates surrounding cyberbullying. The increasing digitization of society affords many benefits; however, some of these benefits are offset by more adverse consequences. Cyberbullying represents one of the adverse consequences of technology use, which has become a topic of increasing societal concern. Betts adopts a critical stance to exploring issues around the definition of cyberbullying, the unique nature of cyberbullying compared to other forms of bullying, the variation in the reported prevalence rates of cyberbullying, the consequences of involvement in cyberbullying, and the steps that can be taken to tackle cyberbullying.
Автор: Michal E. Ptaszynski, Fumito Masui Название: Automatic Cyberbullying Detection: Emerging Research and Opportunities ISBN: 1522552499 ISBN-13(EAN): 9781522552499 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 24116.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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, cyberbullying—these terms, which were almost unknown 10 years ago—are 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.
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