CekUmpanKlik: an artificial intelligence-based application to detect Indonesian clickbait
نویسندگان
چکیده
This study attempted to deploy a high performing natural language processing model which specifically trained on flagging clickbait Indonesian news headline. The deployed is accessible from any internet-connected device because it implements representational state transfer application programming interface (RESTful API). useful avoid often solely purposed rack money but not delivering trustworthy news. With many online outlets adopting the click-based advertising, headline become ubiquitous. Thus, newsworthy articles cluttered with Leveraging state-of-the-art bidirectional encoder representation transformers (BERT), lightweight web developed. offloaded computing resources needed train separate instance of virtual server and then cloud, while client-side only needs send request API cloud will handle rest, known as three-layer architecture. designed developed web-based detect in using IndoBERT its model. usage potentials were discussed. source code running are available for public performance mean receiver operating characteristic-area under curve (ROC-AUC) 89%.
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ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence
سال: 2022
ISSN: ['2089-4872', '2252-8938']
DOI: https://doi.org/10.11591/ijai.v11.i4.pp1232-1238