[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches

MR Kondamudi, SR Sahoo, L Chouhan… - Journal of King Saud …, 2023 - Elsevier
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …

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 …

An intelligent cybersecurity system for detecting fake news in social media websites

A Mughaid, S Al-Zu'bi, A Al Arjan, R Al-Amrat, R Alajmi… - Soft Computing, 2022 - Springer
People worldwide suffer from fake news in many life aspects, healthcare, transportation,
education, economics, and many others. Therefore, many researchers have considered …

Role of Statistics in Detecting Misinformation: A Review of the State of the Art, Open Issues, and Future Research Directions

Z Boukouvalas, A Shafer - Annual Review of Statistics and Its …, 2024 - annualreviews.org
With the evolution of social media, cyberspace has become the default medium for social
media users to communicate, especially during high-impact events such as pandemics …

Fake news detection system using featured-based optimized msvm classification

R Katarya, D Dahiya, S Checker - IEEE Access, 2022 - ieeexplore.ieee.org
Fake News creates erroneous suspense information that can be identified. This spreads
dishonesty about a country's status or overstates the expense of special functions for a …

[HTML][HTML] Tackling the infodemic during a pandemic: A comparative study on algorithms to deal with thematically heterogeneous fake news

PN Vasist, MP Sebastian - International Journal of Information Management …, 2022 - Elsevier
Fake news poses a grave threat with devastating consequences in this information-centric
age. While advances in data science undeniably hold the key to accurately detecting and …

An Automated Data-driven Machine Intelligence Framework for Mining Knowledge To Classify Fake News Using NLP

S Mundra, J Reddy, A Mundra, N Mittal… - ACM Transactions on …, 2023 - dl.acm.org
The rapid spread of fake news has become a serious concern over the internet. In recent
years, social media platforms are widely used for news consumption. These platforms are …

ANN: adversarial news net for robust fake news classification

S Maham, A Tariq, MUG Khan, FS Alamri, A Rehman… - Scientific Reports, 2024 - nature.com
With easy access to social media platforms, spreading fake news has become a growing
concern today. Classifying fake news is essential, as it can help prevent its negative impact …

Feature engineering with Word2vec on text classification using the K-nearest neighbor algorithm

SJ Putra, MN Gunawan… - 2022 10th International …, 2022 - ieeexplore.ieee.org
Text feature extraction is the process of convering unstructured text data into structured so
that machine learning algorithms can process it. One of the commonly used text feature …

[HTML][HTML] Distinguishing Human Journalists from Artificial Storytellers Through Stylistic Fingerprints

VH Tran, Y Sebastian, A Karim, S Azam - Computers, 2024 - mdpi.com
Background: Artificial intelligence poses a critical challenge to the authenticity of journalistic
documents. Objectives: This research proposes a method to automatically identify AI …