Using social media for mental health surveillance: a review

R Skaik, D Inkpen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

Biases in using social media data for public health surveillance: A sco** review

Y Zhao, X He, Z Feng, S Bost, M Prosperi, Y Wu… - International Journal of …, 2022 - Elsevier
Objectives A landscape scan of the methods that are used to either assess or mitigate
biases when using social media data for public health surveillance, through a sco** …

Evaluation of clustering and topic modeling methods over health-related tweets and emails

JA Lossio-Ventura, S Gonzales, J Morzan… - Artificial intelligence in …, 2021 - Elsevier
Background Internet provides different tools for communicating with patients, such as social
media (eg, Twitter) and email platforms. These platforms provided new data sources to shed …

Feminism not for all? The discourse around White feminism across five social media platforms

P Borah, S Ghosh, J Suk, DS Mini… - Social Media+ …, 2023 - journals.sagepub.com
BIPOC scholars have criticized that feminism and feminist activism have often failed to
include race, class, and intersectional identities in the feminist agenda. Using theoretical …

Investigating public discourses around gender and COVID-19: a social media analysis of Twitter data

A Al-Rawi, K Grepin, X Li, R Morgan… - Journal of Healthcare …, 2021 - Springer
We collected over 50 million tweets referencing COVID-19 to understand the public's
gendered discourses and concerns during the pandemic. We filtered the tweets based on …

[HTML][HTML] Exploring eating disorder topics on Twitter: machine learning approach

S Zhou, Y Zhao, J Bian, AF Haynos… - JMIR Medical …, 2020 - medinform.jmir.org
Background: Eating disorders (EDs) are a group of mental illnesses that have an adverse
effect on both mental and physical health. As social media platforms (eg, Twitter) have …

She's Reddit: A source of statistically significant gendered interest information?

M Thelwall, E Stuart - Information processing & management, 2019 - Elsevier
Abstract Information about gender differences in interests is necessary to disentangle the
effects of discrimination and choice when gender inequalities occur, such as in employment …

A comparative analysis of anti-vax discourse on twitter before and after COVID-19 onset

T Nasralah, A Elnoshokaty, O El-Gayar… - Health Informatics …, 2022 - journals.sagepub.com
This study aimed to identify and assess the prevalence of vaccine-hesitancy-related topics
on Twitter in the periods before and after the Coronavirus Disease 2019 (COVID-19) …

Examining mental disorder/psychological chaos through various ML and DL techniques: A critical review

AB Osman, F Tabassum, MJA Patwary… - Annals of Emerging …, 2022 - aetic.theiaer.org
Mental health is a state of well-being where a person understands his/her potential,
participates in his or her community and is able to deal effectively with the challenges and …

[HTML][HTML] Machine learning applications in mental health and substance use research among the LGBTQ2S+ population: sco** review

A Kundu, M Chaiton, R Billington, D Grace… - JMIR Medical …, 2021 - medinform.jmir.org
Background: A high risk of mental health or substance addiction issues among sexual and
gender minority populations may have more nuanced characteristics that may not be easily …