Cyberbullying Lexicon for Social Media

• Published in: 2019 6th International Conference on Research and Innovation in Information Systems (ICRIIS) pp. 1 - 6
• Main Authors: Hang, Ong Chee, Dahlan, Halina Mohamed
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-12-2019
• Subjects: Cyberbullying lexicon; Exclusion cyberbullying; FrameNet; Ontologies; Ontology; Semantics; Social Media; Social networking (online)
• ISSN: 2324-8157
• DOI: 10.1109/ICRIIS48246.2019.9073679

The presence of cyberbullying lexicon can be used to prevent cyberbullying, since user can know which words represent the cyberbullying word in social media. However, there is less research been done for developing the cyberbullying lexicon. Many researches are focusing on cyberbullying detection rather than cyberbullying instances. In order to fill the gaps, this paper aims to propose a cyberbullying lexicon for social media. This paper is focusing on exclusion cyberbullying and proposing an exclusion cyberbullying lexicon by using an ontological approach. This approach consists of several phases, namely: understanding the concepts of exclusion cyberbullying, word list selection, keyword identification, classes and subclasses identification, and lastly cyberbullying ontology and lexicon development. The classes, subclasses and the documentation have been included in the development of exclusion cyberbullying ontology. Classes are based on the semantic frame, subclasses are based on the lexical entry, while documentation of classes and subclasses are based on the definition of the semantic frame and lexical entry from FrameNet. The proposed exclusion cyberbullying lexicon is arranged in alphabetical order and it contains 13 exclusion cyberbullying keywords with its definition and category. In the proposed exclusion cyberbullying lexicon, keyword, definition, and category represent the subclasses, documentation, and classes from the exclusion cyberbullying ontology respectively. The presence of exclusion cyberbullying lexicon can provide a reference for the social media users as well as for cyberbullying detection.