Multilingual Fake News Detection in Low-Resource Languages: A Comparative Study Using BERT and GPT-3.5doi:10.1007/978-3-031-58495-4_28This paper presents a novel attempt at evaluating the authenticity of Tamil news headlines using large language models (LLMs) and evaluating it besides transformer...
Linguistic resources are vital in the creation of fake news and hate speech detection approaches. However, "low-resource" languages, primarily African languages, lack such tools and resources [11]. Ethiopia has established a policy to introduce four more work- ing languages in addition to Amharic...
In this paper, we make the first attempt to detect COVID-19 misinformation in a low-resource language (Chinese) only using the fact-checked news in a high-resource language (English). We start by curating a Chinese real&fake news dataset according...
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The majority of the fake news detection models focus on resource-rich languages like English and Spanish. Due to lack of bench marked corpus, fake news detection in languages like Urdu and many Indian languages have garnered very little attention. However, few workshops and shared tasks are ...
Fake news detection in low-resource languages: A novel hybrid summarization approach The proliferation of fake news across languages and domains on social media platforms poses a significant societal threat. Current automatic detection meth... J Alghamdi,Y Lin,S Luo - Knowledge-Based Systems 被引量...
An English-Chinese COVID-19 fake news dataset from theICDMW 2021paper below: Cross-lingual COVID-19 Fake News Detection. Jiangshu Du,Yingtong Dou,Congying Xia,Limeng Cui,Jing Ma,Philip S. Yu. Introduction The COVID-19 pandemic poses a significant threat to global public health. Meanwhile,...
Multilingual Fake News Detection in Low-Resource Languages: A Comparative Study Using BERT and GPT-3.5 This paper presents a novel attempt at evaluating the authenticity of Tamil news headlines using large language models (LLMs) and evaluating it besides tra... K Anirudh,M Srikanth,A Shahina -...
But the risks spawned by fake and manipulative news are not confined by languages. In this work, we propose an annotated dataset of ~50K news that can be used for building automated fake news detection systems for a low resource language like Bangla. Additionally, we provide an analysis of ...
However, if a fake news becomes viral it can have consequences for the society. Therefore, the detection and eradication of fake news is desired. Recognizing the need for fake news detection, several studies have been conducted for this task in English and Western languages. However, the ...