PETALING JAYA: After more than two years of living under strict Covid-19 restrictions, foreign workers took the opportunity to enjoy the Hari Raya Aidifitri holidays by celebrating with friends.
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
MELAKA: Despite being looked down including yelled at with abusive words, single mother, Umi Nur Faizah Fauzan Ali Halimi, 39, continues to collect scrap items in exchange for cash to raise her four daughters.
MELAKA: State police discovered a new tactic of tobacco smuggling after a local smuggler spilled the beans on how he gets instructions from a Singaporean to distribute contraband cigarettes to smokers in the Klang Valley.