[PDF][PDF] Public Sentiment Analysis and Topic Modeling Regarding COVID-19's Three Waves of Total Lockdown: A Case Study on Movement Control Order in Malaysia.

AH Alamoodi, MR Baker, OS Albahri… - KSII Transactions on …, 2022 - grupolys.org
The COVID-19 pandemic has affected many aspects of human life. The pandemic not only
caused millions of fatalities and problems but also changed public sentiment and behavior …

To disclose or not to disclose? Factors related to the willingness to disclose information to a COVID-19 tracing app

M Jörling, S Eitze, P Schmid, C Betsch… - Information …, 2023 - Taylor & Francis
Contact-tracing apps have been identified as a promising technology to curb the spread of
COVID-19. To be effective, a sufficient number of individuals need to install the app and …

A sentiment analysis approach for identifying users' security and privacy perception of metaverse in twitter

M Al-Kfairy, A Al-Adaileh, M Tubishat… - 2023 International …, 2023 - ieeexplore.ieee.org
Metaverse technology has gained the attention of researchers and professionals due to its
numerous potential applications. It serves as a virtual world that connects people socially …

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation

AI Cristea, A Alamri, M Alshehri, FD Pereira… - User Modeling and User …, 2024 - Springer
Abstract Massive Online Open Course (MOOC) platforms are considered a distinctive way to
deliver a modern educational experience, open to a worldwide public. However, student …

Comparison of machine learning approaches for detecting COVID-19-lockdown-related discussions during recovery and lockdown periods

MR Baker, AH Alamoodi, OS Albahri… - Journal of Operations …, 2023 - jopi-journal.org
Ever since COVID-19 was declared a pandemic, governments around the world have
implemented numerous phases of lockdown measures to curb the spread of the virus. These …

Public views on digital covid-19 certificates: A mixed methods user study

L Nurgalieva, S Ryan, A Balaskas, J Lindqvist… - Proceedings of the …, 2022 - dl.acm.org
The COVID-19 pandemic has led governments worldwide to introduce various measures
restricting human activity and mobility. Along with the administration of COVID-19 …

Stop the spread: A contextual integrity perspective on the appropriateness of covid-19 vaccination certificates

S Zhang, Y Shvartzshnaider, Y Feng… - Proceedings of the …, 2022 - dl.acm.org
We present an empirical study exploring how privacy influences the acceptance of
vaccination certificate (VC) deployments across different realistic usage scenarios. The …

Investigating and Analyzing Self-Reporting of Long COVID on Twitter: Findings from Sentiment Analysis

N Thakur - Applied System Innovation, 2023 - mdpi.com
This paper presents multiple novel findings from a comprehensive analysis of a dataset
comprising 1,244,051 Tweets about Long COVID, posted on Twitter between 25 May 2020 …

Two de-anonymization attacks on real-world location data based on a hidden Markov model

SN Eshun, P Palmieri - 2022 IEEE European Symposium on …, 2022 - ieeexplore.ieee.org
The increasing demand for smart context-aware services and the widespread use of location-
based services (LBS) have resulted in the proliferation of mobile devices equipped with …

Privacy in times of COVID-19: A pilot study in the republic of Ireland

G Xie, P Lohar, C Florea, M Bendechache… - Proceedings of the 16th …, 2021 - dl.acm.org
Contact tracing apps used in tracing and mitigating the spread of COVID-19 have sparked
discussions and controversies worldwide with major concerns around privacy. COVID …