Automated classification of societal sentiments on Twitter with machine learning

P Vyas, M Reisslein, BP Rimal, G Vyas… - … on Technology and …, 2021 - ieeexplore.ieee.org
The rapid growth in information sharing on social media has defined a new information age
in our society. Microblogging sites, such as Twitter, gained immense popularity during the …

Soft-label for multi-domain fake news detection

D Wang, W Zhang, W Wu, X Guo - IEEE Access, 2023 - ieeexplore.ieee.org
The spread of fake news across several fields has had serious negative impacts on the
public and society. Existing studies have shown that the use of multi-domain labels can …

Fake news detection on the web: An LSTM-based approach

P Vyas, J Liu, O El-Gayar - 2021 - scholar.dsu.edu
The acceptance and popularity of social media platforms for the dispersion and proliferation
of news articles have led to the spread of questionable and untrusted information (in part) …

[PDF][PDF] Proliferation of health misinformation on social media platforms: a systematic literature review.

P Vyas, G Vyas, J Liu - Issues in Information Systems, 2021 - iacis.org
This paper presents a systematic literature review to provide a conceptual framework and
future research directions for the identification and detection of health misinformation on …

Fake news detection: A RNN-LSTM, Bi-LSTM based deep learning approach

GS Mahara, S Gangele - 2022 IEEE 1st International …, 2022 - ieeexplore.ieee.org
Fake news is a new phenomenon that promotes misleading information and fraud via
internet social media or traditional news sources. Fake news is readily manufactured and …

Optimization-assisted personalized event recommendation for event-based social networks

BN Nithya, DE Geetha, M Kumar - Advances in Engineering Software, 2023 - Elsevier
Abstract The usage of Online Social Networks (OSN) is promptly increasing in recent days.
Particularly, Social Media networks permit individuals to share, communicate, observe and …

[PDF][PDF] Analyzing the financial Risk Factors Impacting the Economic Benefits of the Consumer Electronic Goods Manufacturing Industry in India

S Tatiparti, KN Mahajan, SK Reddi… - Journal of Advanced …, 2023 - researchgate.net
1 this demonstrates the value and need for rigorous research in the area of nancial risk a®
ecting the performance of the organization. This study intends to analyze several …

[PDF][PDF] An LSTM Based Approach for the Classification of Customer Reviews: An Exploratory Study.

P Vyas, J Liu, A Chauhan - AMCIS, 2021 - researchgate.net
Significant research has been conducted to address the problem of identification and
elimination of malicious content. The credibility of such information is always in question …

[PDF][PDF] Genetic Algorithm and GloVe for Information Credibility Detection Using Recurrent Neural Networks on Social Media Twitter (X)

ANI Ramadhani, EB Setiawan - Jurnal Ilmiah Teknik Elektro …, 2024 - eprints.uad.ac.id
Social media, especially X, has become a key source of information for many individuals, but
the level of trust in the information spread on these platforms is a critical issue. To overcome …

Feature Expansion with GloVe and Particle Swarm Optimization for Detecting the Credibility of Information on Social Media X with Long Short-Term Memory (LSTM)

FPMR Raffly, EBS Setiawan - Scientific Journal of Informatics, 2024 - 103.23.102.168
Purpose: This research aims to develop a system for detecting the credibility of information
on social media X by classifying tweets as credible or non-credible. Additionally, it seeks to …