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Using social media for mental health surveillance: a review
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 …
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
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** …
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
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 …
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
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 …
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
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 …
gendered discourses and concerns during the pandemic. We filtered the tweets based on …
[HTML][HTML] Exploring eating disorder topics on Twitter: machine learning approach
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 …
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 …
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
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) …
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
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 …
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
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 …
gender minority populations may have more nuanced characteristics that may not be easily …