Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges

A Aldoseri, KN Al-Khalifa, AM Hamouda - Applied Sciences, 2023 - mdpi.com
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …

[HTML][HTML] Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

[HTML][HTML] Fake news detection: A hybrid CNN-RNN based deep learning approach

JA Nasir, OS Khan, I Varlamis - International journal of information …, 2021 - Elsevier
The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

GCAN: Graph-aware co-attention networks for explainable fake news detection on social media

YJ Lu, CT Li - arxiv preprint arxiv:2004.11648, 2020 - arxiv.org
This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …

A fine‐tuned BERT‐based transfer learning approach for text classification

R Qasim, WH Bangyal, MA Alqarni… - Journal of healthcare …, 2022 - Wiley Online Library
Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …

: Similarity-aware multi-modal fake news detection

X Zhou, J Wu, R Zafarani - … -Asia Conference on knowledge discovery and …, 2020 - Springer
Effective detection of fake news has recently attracted significant attention. Current studies
have made significant contributions to predicting fake news with less focus on exploiting the …

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …

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 …

FNDNet–a deep convolutional neural network for fake news detection

RK Kaliyar, A Goswami, P Narang, S Sinha - Cognitive Systems Research, 2020 - Elsevier
With the increasing popularity of social media and web-based forums, the distribution of fake
news has become a major threat to various sectors and agencies. This has abated trust in …

Deep learning for misinformation detection on online social networks: a survey and new perspectives

MR Islam, S Liu, X Wang, G Xu - Social Network Analysis and Mining, 2020 - Springer
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …