[HTML][HTML] Twitter discussions and emotions about the COVID-19 pandemic: Machine learning approach

J Xue, J Chen, R Hu, C Chen, C Zheng, Y Su… - Journal of medical …, 2020 - jmir.org
Background It is important to measure the public response to the COVID-19 pandemic.
Twitter is an important data source for infodemiology studies involving public response …

[HTML][HTML] The hidden pandemic of family violence during COVID-19: unsupervised learning of tweets

J Xue, J Chen, C Chen, R Hu, T Zhu - Journal of medical Internet research, 2020 - jmir.org
Background Family violence (including intimate partner violence/domestic violence, child
abuse, and elder abuse) is a hidden pandemic happening alongside COVID-19. The rates …

The worldwide ageism crisis

SR Levy, A Lytle, J Macdonald - Journal of Social Issues, 2022 - Wiley Online Library
Ageism is a worldwide crisis. The COVID‐19 pandemic exacerbated ageism toward older
adults with hate speech, intergenerational resentment, and human rights violations. This …

Ageism in the time of COVID-19

HJ Swift, AL Chasteen - Group Processes & Intergroup …, 2021 - journals.sagepub.com
In this article, we outline how the response to the coronavirus (COVID-19) pandemic has the
potential to fundamentally change how we think and feel about our own age, and how we …

[HTML][HTML] Using Twitter-based data for sexual violence research: scoping review

J Xue, B Zhang, Q Zhang, R Hu, J Jiang, N Liu… - Journal of medical …, 2023 - jmir.org
Background Scholars have used data from in-person interviews, administrative systems, and
surveys for sexual violence research. Using Twitter as a data source for examining the …

Reducing ageism toward older adults and highlighting older adults as contributors during the COVID‐19 Pandemic

A Lytle, SR Levy - Journal of Social Issues, 2022 - Wiley Online Library
The COVID‐19 pandemic exacerbated ageism (stereotyping, prejudice, and discrimination)
toward older adults in the United States, highlighting the belief that older adults are a …

TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets

MS Satu, MI Khan, M Mahmud, S Uddin… - Knowledge-Based …, 2021 - Elsevier
Abstract COVID-19, caused by SARS-CoV2 infection, varies greatly in its severity but
presents with serious respiratory symptoms with vascular and other complications …

[HTML][HTML] Optimization and fine-tuning of DenseNet model for classification of COVID-19 cases in medical imaging

T Chauhan, H Palivela, S Tiwari - International Journal of Information …, 2021 - Elsevier
It's been more than a year that the entire world is fighting against COVID-19 pandemic.
Starting from the Wuhan city in China, COVID-19 has conquered the entire world with its …

Ageism on Twitter during the COVID‐19 pandemic

R Ng, N Indran, L Liu - Journal of Social Issues, 2022 - Wiley Online Library
The COVID‐19 crisis has sparked a resurgence of scholarly interest in the issue of ageism.
Whether the outbreak thwarts or facilitates efforts to combat ageism hinges upon public …

The conceptual and methodological characteristics of ageism during COVID-19: A scoping review of empirical studies

P Werner, H AboJabel - The Gerontologist, 2023 - academic.oup.com
Abstract Background and Objectives Printed and social media, as well as professional and
scholarly platforms, have extensively discussed the proliferation of ageism during the …