Cyber Bullying Pattern of Indonesian High School Students in Instagram Through Text Mining

Abstract

The cases of bullying among high school students in Indonesia continue to increase every year. Now the case of bullying is not only happening in the real world but also happens in cyberspace. The ease of accessing the internet has led to widespread of cyberbullying cases that occur through social media. After Facebook and WhatsApp, Instagram is the third most social media used by students for cyberbullying. This study analyses Indonesian bullying words among high school students on Instagram. The total numbers of students’ Instagram comments evaluated are around 1500 comments, which are thought to contain cyberbullying elements. The process of collecting data is done by using the Rcrawl technique, and the text analysis process is carried out using the “Bag of Words” approach through the R programming to identify various vocabularies that contain bullying elements and harassment terms on Instagram comments. The aim of this study is to identify the patterns of cyberbullying within the written content among high school students in Indonesia. This study has found that (1) the term “anjing” becomes a trend of Indonesian students in bullying on Instagram, (2) cyberbullying is more likely to occur in the same-class students. Further, the study needs to find out the merit and demerit of cyberbullying in the Indonesian high school students and to find a way to take precautions from spoiling the students from cyberbullying.



Author Information
Hevi Loris, National Chung Hsing University, Taiwan
Jen Jang Sheu, National Chung Hsing University, Taiwan

Paper Information
Conference: ACEID2020
Stream: Higher education

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