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Fake news detection in Dravidian languages using transfer learning with adaptive finetuning
Fake news has become a major challenge for online platforms and society as a whole, with
potentially harmful consequences for individuals and organizations. While there has been a …
potentially harmful consequences for individuals and organizations. While there has been a …
Hindi fake news detection using transformer ensembles
In the past few decades, due to the growth of social networking sites such as Whatsapp and
Facebook, information distribution has been at a level never seen before. Knowing the …
Facebook, information distribution has been at a level never seen before. Knowing the …
Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey
In today's global digital landscape, misinformation transcends linguistic boundaries, posing
a significant challenge for moderation systems. While significant advances have been made …
a significant challenge for moderation systems. While significant advances have been made …
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion
Covid text identification (CTI) is a crucial research concern in natural language processing
(NLP). Social and electronic media are simultaneously adding a large volume of Covid …
(NLP). Social and electronic media are simultaneously adding a large volume of Covid …
Kurdish fake news detection based on machine learning approaches
The widespread use of social media platforms and the internet has increased information
sharing, including both true and false news. Detecting fake news is challenging, and several …
sharing, including both true and false news. Detecting fake news is challenging, and several …
A comparative study of machine learning approaches for rumors detection in Covid-19 tweets
Analysing social media content becomes a crucial task due to the tremendous usage of
social media platforms. In the era of COVID-19, detecting rumors becomes a vital task. In …
social media platforms. In the era of COVID-19, detecting rumors becomes a vital task. In …
Enriching contextualized semantic representation with textual information transmission for COVID-19 fake news detection: a study on English and Persian
M Ghayoomi - Digital Scholarship in the Humanities, 2023 - academic.oup.com
The COVID-19 pandemic provided an infodemic situation to face people in the society with a
massive amount of information due to accessing social media, such as Twitter and …
massive amount of information due to accessing social media, such as Twitter and …
bytesizedllm@ dravidianlangtech 2024: Fake news detection in dravidian languages-unleashing the power of custom subword tokenization with subword2vec and …
R Kodali, D Manukonda - Proceedings of the Fourth Workshop on …, 2024 - aclanthology.org
This paper focuses on detecting fake news in resource-constrained languages, particularly
Malayalam. We present a novel framework combining subword tokenization, Sanskrit …
Malayalam. We present a novel framework combining subword tokenization, Sanskrit …
[PDF][PDF] Persian Rumor Detection Using a MultiClassifier Fusion Approach
A Mansouri, M Mahmoudi, M Farhoodi… - International Journal of …, 2024 - journal.itrc.ac.ir
During the last few years, rumor and its rapid diffusion via social media have affected public
opinions, even in some important such as presidential elections. One of the main …
opinions, even in some important such as presidential elections. One of the main …
[PDF][PDF] Rumors Detection on Social Platforms Using NLP Methods
N Ashraf - 2023 - fci.stafpu.bu.edu.eg
Social media platforms have grown rapidly in recent years, with billions of people worldwide
using them for communication, entertainment, and information. Social media development …
using them for communication, entertainment, and information. Social media development …