Combating health misinformation in social media: Characterization, detection, intervention, and open issues

C Chen, H Wang, M Shapiro, Y Xiao, F Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
Social media has been one of the main information consumption sources for the public,
allowing people to seek and spread information more quickly and easily. However, the rise …

A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation …

SK Hamed, MJ Ab Aziz, MR Yaakub - Heliyon, 2023 - cell.com
Currently, social networks have become the main source to acquire news about current
global affairs. However, fake news appears and spreads on social media daily. This …

An efficient deep learning for Thai sentiment analysis

N Khamphakdee, P Seresangtakul - Data, 2023 - mdpi.com
The number of reviews from customers on travel websites and platforms is quickly
increasing. They provide people with the ability to write reviews about their experience with …

[HTML][HTML] Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach

T Ahammad - Natural Language Processing Journal, 2024 - Elsevier
Spreading misinformation and fake news about COVID-19 has become a critical concern. It
contributes to a lack of trust in public health authorities, hinders actions from controlling the …

A systematic literature review and meta-analysis of studies on online fake news detection

RC Thompson, S Joseph, TT Adeliyi - Information, 2022 - mdpi.com
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …

A survey of uncover misleading and cyberbullying on social media for public health

O Darwish, Y Tashtoush, A Bashayreh, A Alomar… - Cluster computing, 2023 - Springer
Misleading health information is a critical phenomenon in our modern life due to advance in
technology. In fact, social media facilitated the dissemination of information, and as a result …

Hybrid deep learning algorithm for forecasting SARS-CoV-2 daily infections and death cases

F Alqahtani, M Abotaleb, A Kadi, T Makarovskikh… - Axioms, 2022 - mdpi.com
The prediction of new cases of infection is crucial for authorities to get ready for early
handling of the virus spread. Methodology Analysis and forecasting of epidemic patterns in …

Analyzing Online Fake News Using Latent Semantic Analysis: Case of USA Election Campaign

RG Mayopu, YY Wang, LS Chen - Big Data and Cognitive Computing, 2023 - mdpi.com
Recent studies have indicated that fake news is always produced to manipulate readers and
that it spreads very fast and brings great damage to human society through social media …

Machine learning-based identifications of COVID-19 fake news using biomedical information extraction

F Fifita, J Smith, MB Hanzsek-Brill, X Li… - Big Data and Cognitive …, 2023 - mdpi.com
The spread of fake news related to COVID-19 is an infodemic that leads to a public health
crisis. Therefore, detecting fake news is crucial for an effective management of the COVID …

[HTML][HTML] An Overview of Fake News Detection: From A New Perspective

B Hu, Z Mao, Y Zhang - Fundamental Research, 2024 - Elsevier
With the rapid development and popularization of Internet technology, the propagation and
diffusion of information become much easier and faster. While making life more convenient …