3. BÀI TẠP CHÍ - TRÍCH SÁCH: Tài liệu gửi gần đây
Đang hiển thị mục 56-60 trong tổng 136
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Deep contextualized text representation and learning for fake news detection
(Elsevier, 2021)In recent years, due to the widespread use of social media and broadcasting agencies around the world, people are extremely exposed to being affected by false information and fake news, all of which have negative impacts ... -
A link2vec-based fake news detection model using web search results
(Elsevier, 2021)Today, the world is under siege from various kinds of fake news ranging from politics to COVID-19. Thus, many scholars have been researching automatic fake news detection based on artificial intelligence and machine learning ... -
BerConvoNet : a deep learning framework for fake news classification
(Elsevier, 2021)Fake news has become a major concern over the Internet. It influences people directly and should be identified. In the recent years, various Machine Learning (ML) and Deep Learning (DL) based data-driven approaches have ... -
Fake news detection for epidemic emergencies via deep correlations between text and images
(Elsevier, 2020)In recent years, major emergencies have occurred frequently all over the world. When a major global public heath emergency like COVID-19 broke out, an increasing number of fake news in social media networks are exposed to ... -
Learner-internal and learner-external predictors of willingness to communicate in the FL classroom
(2018)Willingness to Communicate (WTC), defined as “a readiness to enter into discourse at a particular time with a specific person or persons, using a L2” (MacIntyre, Dörnyei, Clément & Noels, 1998, p. 547), is influenced by a ...
