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 …

Combating health misinformation in social media: Characterization, detection, intervention, and open issues

C Chen, H Wang, M Shapiro, Y **ao, F Wang… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

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 …

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 …

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 …

The landscape of user-centered misinformation interventions-a systematic literature review

K Hartwig, F Doell, C Reuter - ACM Computing Surveys, 2024 - dl.acm.org
Misinformation is one of the key challenges facing society today. User-centered
misinformation interventions as digital countermeasures that exert a direct influence on …

Classification of Covid-19 misinformation on social media based on neuro-fuzzy and neural network: A systematic review

BD Ravichandran, P Keikhosrokiani - Neural Computing and Applications, 2023 - Springer
The spread of Covid-19 misinformation on social media had significant real-world
consequences, and it raised fears among internet users since the pandemic has begun …

Self-diagnosis and large language models: A new front for medical misinformation

F Barnard, M Van Sittert, S Rambhatla - arxiv preprint arxiv:2307.04910, 2023 - arxiv.org
Improving healthcare quality and access remains a critical concern for countries worldwide.
Consequently, the rise of large language models (LLMs) has erupted a wealth of discussion …

CommonsenseVIS: Visualizing and understanding commonsense reasoning capabilities of natural language models

X Wang, R Huang, Z **, T Fang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, large pretrained language models have achieved compelling performance on
commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the …