Fake news, disinformation and misinformation in social media: a review

E Aïmeur, S Amri, G Brassard - Social Network Analysis and Mining, 2023 - Springer
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …

Spread of misinformation on social media: What contributes to it and how to combat it

S Chen, L **ao, A Kumar - Computers in Human Behavior, 2023 - Elsevier
With the prevalence and increasing impact of misinformation on social media, numerous
studies have explored the characteristics of misinformation. However, we lack a holistic …

Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward

M Masood, M Nawaz, KM Malik, A Javed, A Irtaza… - Applied …, 2023 - Springer
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Blockchain implementation in pharmaceutical supply chains: A review and conceptual framework

A Ghadge, M Bourlakis, S Kamble… - International Journal of …, 2023 - Taylor & Francis
Research on Blockchain implementation in the Pharmaceutical Supply Chains (PSC) is
lacking despite its strong potential to overcome conventional supply chain challenges. Thus …

Deepfakes: Current and future trends

ÁF Gambín, A Yazidi, A Vasilakos, H Haugerud… - Artificial Intelligence …, 2024 - Springer
Abstract Advances in Deep Learning (DL), Big Data and image processing have facilitated
online disinformation spreading through Deepfakes. This entails severe threats including …

The creation and detection of deepfakes: A survey

Y Mirsky, W Lee - ACM computing surveys (CSUR), 2021 - dl.acm.org
Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …

Countering malicious deepfakes: Survey, battleground, and horizon

F Juefei-Xu, R Wang, Y Huang, Q Guo, L Ma… - International journal of …, 2022 - Springer
The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …

Audio deepfakes: A survey

Z Khanjani, G Watson, VP Janeja - Frontiers in Big Data, 2023 - frontiersin.org
A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …

A survey on learning to reject

XY Zhang, GS **e, X Li, T Mei… - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
Learning to reject is a special kind of self-awareness (the ability to know what you do not
know), which is an essential factor for humans to become smarter. Although machine …

[HTML][HTML] The application of blockchain in social media: a systematic literature review

MA Hisseine, D Chen, X Yang - Applied Sciences, 2022 - mdpi.com
Social media has transformed the mode of communication globally by providing an
extensive system for exchanging ideas, initiating business contracts, and proposing new …