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 …

Deep learning based data-driven model for detecting time-delay water quality indicators of wastewater treatment plant influent

Y Zhang, C Li, H Duan, K Yan, J Wang… - Chemical Engineering …, 2023 - Elsevier
Rapid and accurate detection of time-delayed water quality indicators (WQIs) is the key to
achieving fast feedback regulation of wastewater treatment plants (WWTPs) that enables its …

An explainable artificial intelligence approach for financial distress prediction

Z Zhang, C Wu, S Qu, X Chen - Information Processing & Management, 2022 - Elsevier
External stakeholders require accurate and explainable financial distress prediction (FDP)
models. Complex machine learning algorithms offer high accuracy, but most of them lack …

Combating fake news: Stakeholder interventions and potential solutions

A Gupta, N Kumar, P Prabhat, R Gupta, S Tanwar… - Ieee …, 2022 - ieeexplore.ieee.org
The fake news “infodemic”, facilitated by social media and mobile message sharing
platforms, has progressed from causing a nuisance to seriously impacting law and order …

Natural language processing

SC Fanni, M Febi, G Aghakhanyan, E Neri - Introduction to artificial …, 2023 - Springer
Natural language processing (NLP) stands halfway between computer science
computational linguistics, and it is dedicated to the conversion of written and spoken natural …

Hc-covid: A hierarchical crowdsource knowledge graph approach to explainable covid-19 misinformation detection

Z Kou, L Shang, Y Zhang, D Wang - Proceedings of the ACM on Human …, 2022 - dl.acm.org
The proliferation of social media has promoted the spread of misinformation that raises
many concerns in our society. This paper focuses on a critical problem of explainable …

A survey of explainable AI techniques for detection of fake news and hate speech on social media platforms

VU Gongane, MV Munot, AD Anuse - Journal of Computational Social …, 2024 - Springer
Artificial intelligence (AI) is a computing field that has played a pivotal role in delivering
technological revolutions in various sectors like business, healthcare, finance, social …

Predicting driver takeover time in conditionally automated driving

J Ayoub, N Du, XJ Yang, F Zhou - IEEE transactions on …, 2022 - ieeexplore.ieee.org
It is extremely important to ensure a safe takeover transition in conditionally automated
driving. One of the critical factors that quantifies the safe takeover transition is takeover time …

XFlag: Explainable fake news detection model on social media

SY Chien, CJ Yang, F Yu - International Journal of Human …, 2022 - Taylor & Francis
Social media allows any individual to disseminate information without third-party restrictions,
making it difficult to verify the authenticity of a source. The proliferation of fake news has …