Cyberbullying has been a relatively common problem in recent years. With the development and popularity of the Internet and social media, harassment, discrimination and verbal attacks on the Internet have become more and more frequent, leading to the mental health of many Internet users. In addition, the rise and application of neural networks and text mining have successfully contributed to the research on the detection and prediction of cyberbullying. In this paper, we study the detection methods of cyberbullying and summarize its research status and progress. The research questions, research methods, and measurement methods in the target papers and references were classified. Finally, all the studies are summarized and the directions and innovations of the unstudied are listed.
Service industry is extremely concerned about social network and interpersonal communication. Traditionally, these communication behaviors are through face-to-face talks, conferences or other direct ways. But as the improvement of information technology and Internet, a new form of communication has emerged, namely, the Computer-Mediated-Communication (CMC). This paper will first consider the essence of communication and the validity of CMC. After that, we would check the characters of social networks and virtual communities in order to make sure that people would form virtual communities through CMC. Although lacking of social-situational clues, CMC could help people build emotional-supporting networks through long-term interaction.Several business cases concerning CMC are also discussed. For example, IBM uses its instant messenger software to hold Internet discussion around the world, which helps IBM saving millions of cost every year. Ladder Digital Education also uses instant messaging software to connect employees of Taiwan and China.
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