Comparing the performance of two Indonesian language models, IndoBERT and Cendol, for hate speech detection on the X platform, suggests that each model exhibits distinct strengths depending on language characteristics and contextual usage.
Islamophobic hate speech on social media includes overt toxicity and contextual frames that associate Muslims with invasion, criminality, cultural threat, or racialized exclusion. This study examines 21,326 Spanish-language tweets about Islam and Muslims posted in Spain between 2010 and 2022. We combine human annotatio...
William González-Baquero, Carlos Arcila Calderón, Javier J. Amores et al.· Central European Journal of...· 0 citations
It is demonstrated that integrating contextual language representations with sequential modeling, supported by an efficient LLM-assisted labeling strategy and class imbalance handling, provides an effective approach for Indonesian cyberbullying detection and offers a practical solution for large-scale social media cont...
F. Nafiah, Aviolla Terza Damaliana, K. M. Hindrayani· JOURNAL OF APPLIED INFORMATI...· 0 citations
This study examines hostile expressions in Balinese language comments on social media concerning discussions of Ngaben and cremation practices from a forensic linguistic perspective, with particular attention to their potential relation to hate speech and their illocutionary functions. The study aims to identify forms...
Putu Ary Sintya Dewi, I. W. Pastika, I. Sosiowati· International journal of soc...· 0 citations
The use of social media in Nigeria for communication, information access, and public discussion
cannot be overemphasized. However, some individuals and organizations exploit it negatively,
spreading hate speech, misinformation, and toxic content. Such abusive online behavior has led to
politically, socially, and eth...
Akpos Didi Enai· International Journal of Com...· 0 citations
The experimental results demonstrate that the BiLSTM model with the RMSProp optimizer is effective for detecting cyberbullying in bilingual Indonesian and English texts.
Cryptocurrency's popularity is primarily driven by user trends and Central Bank Digital Currency initiatives. However, specific Islamic communities identified vary in comprehension of halal and haram due to level and Shariah compliance discrepancies. This study seeks to understand the Muslim community’s perspective on...
Ahmad Tibrizi Soni Wicaksono, Umrotul Khasanah, Alif Muhammad Anaksa Moreno et al.· Shirkah Journal of Economics...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
