[HTML][HTML] Pre-trained language models and their applications

H Wang, J Li, H Wu, E Hovy, Y Sun - Engineering, 2023 - Elsevier
Pre-trained language models have achieved striking success in natural language
processing (NLP), leading to a paradigm shift from supervised learning to pre-training …

Transformer models for text-based emotion detection: a review of BERT-based approaches

FA Acheampong, H Nunoo-Mensah… - Artificial Intelligence …, 2021 - Springer
We cannot overemphasize the essence of contextual information in most natural language
processing (NLP) applications. The extraction of context yields significant improvements in …

ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health

L De Angelis, F Baglivo, G Arzilli, GP Privitera… - Frontiers in public …, 2023 - frontiersin.org
Large Language Models (LLMs) have recently gathered attention with the release of
ChatGPT, a user-centered chatbot released by OpenAI. In this perspective article, we retrace …

[HTML][HTML] FakeBERT: Fake news detection in social media with a BERT-based deep learning approach

RK Kaliyar, A Goswami, P Narang - Multimedia tools and applications, 2021 - Springer
In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …

Fake news detection based on news content and social contexts: a transformer-based approach

S Raza, C Ding - International Journal of Data Science and Analytics, 2022 - Springer
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …

Fake news detection using machine learning ensemble methods

I Ahmad, M Yousaf, S Yousaf, MO Ahmad - Complexity, 2020 - Wiley Online Library
The advent of the World Wide Web and the rapid adoption of social media platforms (such
as Facebook and Twitter) paved the way for information dissemination that has never been …

Fake news detection: A survey of graph neural network methods

HT Phan, NT Nguyen, D Hwang - Applied Soft Computing, 2023 - Elsevier
The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …

ChatGPT: Challenges and benefits in software programming for higher education

CAG Silva, FN Ramos, RV De Moraes, EL Santos - Sustainability, 2024 - mdpi.com
ChatGPT is a substantial language model developed by OpenAI, rooted in the GPT-3.5
architecture, with the capacity to generate human-like responses to text-based inputs …

A comprehensive review on fake news detection with deep learning

MF Mridha, AJ Keya, MA Hamid, MM Monowar… - IEEE …, 2021 - ieeexplore.ieee.org
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …

[HTML][HTML] Fake News Classification using transformer based enhanced LSTM and BERT

N Rai, D Kumar, N Kaushik, C Raj, A Ali - International Journal of Cognitive …, 2022 - Elsevier
Fake News has been a concern all over the world and social media has only amplified this
phenomenon. Fake News has been affecting the world on a large scale as these are …