Cyberbullying through intellect - related insults
Unrestricted utilisation of digital devices and online platforms promulgates cyberbullying, which has been typically identified with the presence of potentially profane or offensive words that can cause aggravation to others. Previous studies have clarified that certain challenges arise in detecting...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2020
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| Online Access: | http://journalarticle.ukm.my/14491/ http://journalarticle.ukm.my/14491/1/37734-122816-1-PB.pdf |
| _version_ | 1848813563665186816 |
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| author | Shahidatul Maslina Mat Sood, Tan, Kim Hua Bahiyah Abdul Hamid, |
| author_facet | Shahidatul Maslina Mat Sood, Tan, Kim Hua Bahiyah Abdul Hamid, |
| author_sort | Shahidatul Maslina Mat Sood, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Unrestricted utilisation of digital devices and online platforms promulgates cyberbullying, which has been typically identified with the presence of potentially profane or offensive words that can cause aggravation to others. Previous studies have clarified that certain challenges arise in detecting abusive language in social media, especially on Twitter. The apparent reason for such encounters is typically triggered by the informal language used in various tweets. This study discusses the issues of abusive language that are used in Malaysian’s online communication by highlighting the linguistic features of aggressive insulting words used by social media users in nit-picking an individual’s intelligence. Data collection and analysis are conducted in two stages. Firstly, a self-constructed questionnaire is conducted to elicit imperative keywords or phrases used in assisting subsequent analysis of the content-based approach. Secondly, Twitter data, which have been streamed using the Twitter API and R statistical software, are explored. Thematic analysis is also used in the second phase to analyse the keywords that are subjected to qualitative explanations. Initial results indicate ‘bodoh’ as the most common online insult used to degrade an individual’s intelligence. Twitter users also make use of more abusive words (insults) in Malay than in English for degrading purposes through a variety of intelligence-related insults such as ‘bebal’, ‘sengal’, ‘gila’, ‘bodoh’, ‘bangang’, ‘bengap’, ‘semak’ and ‘bongok’. Likewise, linguistics realisations such as spelling alteration, word repetition, laughing remarks, punctuations, animal imagery, dialect interference, code-mixing, and Malaysian English markers are observed through the features of those highlighted insults. |
| first_indexed | 2025-11-15T00:20:11Z |
| format | Article |
| id | oai:generic.eprints.org:14491 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:20:11Z |
| publishDate | 2020 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:144912020-04-27T02:52:12Z http://journalarticle.ukm.my/14491/ Cyberbullying through intellect - related insults Shahidatul Maslina Mat Sood, Tan, Kim Hua Bahiyah Abdul Hamid, Unrestricted utilisation of digital devices and online platforms promulgates cyberbullying, which has been typically identified with the presence of potentially profane or offensive words that can cause aggravation to others. Previous studies have clarified that certain challenges arise in detecting abusive language in social media, especially on Twitter. The apparent reason for such encounters is typically triggered by the informal language used in various tweets. This study discusses the issues of abusive language that are used in Malaysian’s online communication by highlighting the linguistic features of aggressive insulting words used by social media users in nit-picking an individual’s intelligence. Data collection and analysis are conducted in two stages. Firstly, a self-constructed questionnaire is conducted to elicit imperative keywords or phrases used in assisting subsequent analysis of the content-based approach. Secondly, Twitter data, which have been streamed using the Twitter API and R statistical software, are explored. Thematic analysis is also used in the second phase to analyse the keywords that are subjected to qualitative explanations. Initial results indicate ‘bodoh’ as the most common online insult used to degrade an individual’s intelligence. Twitter users also make use of more abusive words (insults) in Malay than in English for degrading purposes through a variety of intelligence-related insults such as ‘bebal’, ‘sengal’, ‘gila’, ‘bodoh’, ‘bangang’, ‘bengap’, ‘semak’ and ‘bongok’. Likewise, linguistics realisations such as spelling alteration, word repetition, laughing remarks, punctuations, animal imagery, dialect interference, code-mixing, and Malaysian English markers are observed through the features of those highlighted insults. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14491/1/37734-122816-1-PB.pdf Shahidatul Maslina Mat Sood, and Tan, Kim Hua and Bahiyah Abdul Hamid, (2020) Cyberbullying through intellect - related insults. Jurnal Komunikasi ; Malaysian Journal of Communication, 36 (1). pp. 278-297. ISSN 0128-1496 http://ejournal.ukm.my/mjc/issue/view/1257 |
| spellingShingle | Shahidatul Maslina Mat Sood, Tan, Kim Hua Bahiyah Abdul Hamid, Cyberbullying through intellect - related insults |
| title | Cyberbullying through intellect - related insults |
| title_full | Cyberbullying through intellect - related insults |
| title_fullStr | Cyberbullying through intellect - related insults |
| title_full_unstemmed | Cyberbullying through intellect - related insults |
| title_short | Cyberbullying through intellect - related insults |
| title_sort | cyberbullying through intellect - related insults |
| url | http://journalarticle.ukm.my/14491/ http://journalarticle.ukm.my/14491/ http://journalarticle.ukm.my/14491/1/37734-122816-1-PB.pdf |