Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

A systematic literature review of the motivations to share fake news on social media platforms and how to fight them

C Melchior, M Oliveira - new media & society, 2024 - journals.sagepub.com
This review aims (a) to investigate the motivations to share fake news on Social Media
Platforms (SMPs) according to the Self-Determination Theory (SDT);(b) to identify the …

A systematic literature review and existing challenges toward fake news detection models

M Nirav Shah, A Ganatra - Social Network Analysis and Mining, 2022 - Springer
Emerging of social media creates inconsistencies in online news, which causes confusion
and uncertainty for consumers while making decisions regarding purchases. On the other …

Network theory–based approach to data-driven assessment of bidding competition in highway construction

MA Moriyani, L Asaye, C Le, T Le - Journal of Management in …, 2024 - ascelibrary.org
Competitive bidding in design-bid-build contracts holds the potential to lower bid prices,
maximize project outcomes, and promote growth in the construction industry. However …

Detection of Turkish Fake News from Tweets with BERT Models

GK Koru, Ç Uluyol - IEEE Access, 2024 - ieeexplore.ieee.org
As the number of people using social networks increases, more people are using social
media platforms to meet their news needs. Users think that it is easier to follow the agenda …

Enhancing Fake News Detection in Romanian Using Transformer-Based Back Translation Augmentation

M Bucos, B Drăgulescu - Applied Sciences, 2023 - mdpi.com
Misinformation poses a significant challenge in the digital age, requiring robust methods to
detect fake news. This study investigates the effectiveness of using Back Translation (BT) …

Deep learning based fake news detection on social media

G Güler, S Gündüz - International journal of information security …, 2023 - dergipark.org.tr
Social media platforms become indispensable channels to discover the latest news by the
Internet users. Millions of news is broken first, spread faster, and reach larger communities …

Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models

AS Chowdhury, GM Shahariar, AT Aziz… - arXiv preprint arXiv …, 2023 - arxiv.org
With the rise of social media and online news sources, fake news has become a significant
issue globally. However, the detection of fake news in low resource languages like Bengali …

Integrating Metaheuristics and Two-Tiered Classification for Enhanced Fake News Detection with Feature Optimization

P Narang, AV Singh, H Monga - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
INTRODUCTION: The challenge of distributing false information continues despite the
significant impact of social media on opinions. The suggested framework, which is a …

Tackling Disinformation: Machine Learning Solutions for Fake News Detection

AR Sangi, J Nagaram, A Sudulagunta… - Proceedings of the …, 2023 - dl.acm.org
Fake news is termed as the news that spreads via the internet very fast which is not true ie,
false news. Since we are in a society of modern living culture, we will be attracted to the …