International Conference On Awareness Science News Today : Breaking News, Live Updates & Top Stories | Vimarsana

As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied concern especially from the perspective of language. Elucidating the linguistic features of cyberbullying is critical both to preventing it and to cultivating ethical and responsible digital citizens. In this study, a mixed-method approach integrating lexical feature analysis, sentiment polarity analysis, and semantic network analysis was adopted to develop a deeper understanding of cyberbullying language. Five cyberbullying cases on Chinese social media were analyzed to uncover explicit and implicit linguistic features. Results indicated that cyberbullying comments had significantly different linguistic profiles than non-bullying comments and that explicit and implicit bullying were distinct. The content of cases further suggested that cyberbullying language varied in the use of words, types of cyberbullying, and sentiment polarity. These findings offer useful insight for designing automatic cybe ....

New York , United States , United Kingdom , Ying Chao , City Of , Kyongsang Bukto , South Korea , Saudi Arabia , Textmind Gao , Faizzuddin Zainal , Sina Weibo , Tencent Weibo , Penerbit Universiti Kebangsaan , Ibn Rafiq , M Schultz Oxford , Cohen Kappa , International World Wide Web Conferences Steering Committee , Science Research Network , Association For Computing Machinery , Proceeding Of Knowledge Management International Conference , International Conference On Information Management , Semantic Network Analysis , Cambridge University Press , National Social Science Fund Of China , International Conference On Machine , Postdoctoral Research Foundation Of China ,