[HTML][HTML] Social media use for health purposes: systematic review

J Chen, Y Wang - Journal of medical Internet research, 2021 - jmir.org
Background: Social media has been widely used for health-related purposes, especially
during the COVID-19 pandemic. Previous reviews have summarized social media uses for a …

What social media told us in the time of COVID-19: a scoping review

SF Tsao, H Chen, T Tisseverasinghe, Y Yang… - The Lancet Digital …, 2021 - thelancet.com
With the onset of the COVID-19 pandemic, social media has rapidly become a crucial
communication tool for information generation, dissemination, and consumption. In this …

Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA

K Garcia, L Berton - Applied soft computing, 2021 - Elsevier
Twitter is a social media platform with more than 500 million users worldwide. It has become
a tool for spreading the news, discussing ideas and comments on world events. Twitter is …

[HTML][HTML] Top concerns of tweeters during the COVID-19 pandemic: infoveillance study

A Abd-Alrazaq, D Alhuwail, M Househ, M Hamdi… - Journal of medical …, 2020 - jmir.org
Background The recent coronavirus disease (COVID-19) pandemic is taking a toll on the
world's health care infrastructure as well as the social, economic, and psychological well …

[HTML][HTML] COVID-19 vaccine hesitancy in Canada: content analysis of tweets using the theoretical domains framework

J Griffith, H Marani, H Monkman - Journal of medical Internet research, 2021 - jmir.org
Background With the approval of two COVID-19 vaccines in Canada, many people feel a
sense of relief, as hope is on the horizon. However, only about 75% of people in Canada …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients

S Hermes, T Riasanow, EK Clemons, M Böhm… - Business …, 2020 - Springer
While traditional organizations create value within the boundaries of their firm or supply
chain, digital platforms leverage and orchestrate a platform-mediated ecosystem to create …

[HTML][HTML] Assessing COVID-19 vaccine hesitancy, confidence, and public engagement: a global social listening study

Z Hou, Y Tong, F Du, L Lu, S Zhao, K Yu… - Journal of medical …, 2021 - jmir.org
Background Monitoring public confidence and hesitancy is crucial for the COVID-19 vaccine
rollout. Social media listening (infoveillance) can not only monitor public attitudes on COVID …

[HTML][HTML] Machine learning and natural language processing in mental health: systematic review

A Le Glaz, Y Haralambous, DH Kim-Dufor… - Journal of medical …, 2021 - jmir.org
Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

Twitter and research: A systematic literature review through text mining

A Karami, M Lundy, F Webb, YK Dwivedi - IEEE access, 2020 - ieeexplore.ieee.org
Researchers have collected Twitter data to study a wide range of topics. This growing body
of literature, however, has not yet been reviewed systematically to synthesize Twitter-related …