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Spread of misinformation on social media: What contributes to it and how to combat it
With the prevalence and increasing impact of misinformation on social media, numerous
studies have explored the characteristics of misinformation. However, we lack a holistic …
studies have explored the characteristics of misinformation. However, we lack a holistic …
Combating health misinformation in social media: Characterization, detection, intervention, and open issues
Social media has been one of the main information consumption sources for the public,
allowing people to seek and spread information more quickly and easily. However, the rise …
allowing people to seek and spread information more quickly and easily. However, the rise …
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 …
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 …
models. Complex machine learning algorithms offer high accuracy, but most of them lack …
Combating fake news: Stakeholder interventions and potential solutions
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 …
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 …
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
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 …
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
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 …
technological revolutions in various sectors like business, healthcare, finance, social …
Predicting driver takeover time in conditionally automated driving
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 …
driving. One of the critical factors that quantifies the safe takeover transition is takeover time …
XFlag: Explainable fake news detection model on social media
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 …
making it difficult to verify the authenticity of a source. The proliferation of fake news has …