Resource Tag: TWITTERBOTS
LCSH
An evaluation of the Boys Do Cry suicide prevention media campaign on Twitter: Mixed methods approach
Background: In most countries, men are more likely to die by suicide than women. Adherence to dominant masculine norms, such as being self-reliant, is linked to suicide in men in Western cultures. We created a suicide prevention media campaign, “Boys Do Cry,” designed to challenge the “self-reliance” norm and encourage help-seeking in men. A music […]
Assessing vulnerability to surges in suicide-related tweets using Japan census data: Case-only study
Background: As the use of social media becomes more widespread, its impact on health cannot be ignored. However, limited research has been conducted on the relationship between social media and suicide. Little is known about individuals’ vulnerable to suicide, especially when social media suicide information is extremely prevalent. Objective: This study aims to identify the […]
Unveiling the role of social media in mental health: A GAN-based deep learning framework for suicide prevention
In recent years, there has been a significant increase in user participation on social networking media sites. These platforms generate vast amounts of diverse data that have a substantial impact on the mental health of the general public. Suicide, being a leading cause of death globally, has drawn the attention of researchers. The World Health […]
Differences in suicide-related Twitter content according to user influence
Background: The content of suicide-specific social media posts may impact suicide rates, and putatively harmful and/or protective content may vary by the author’s influence. Aims: This study sought to characterize how suicide-related Twitter content differs according to user influence. Method: Suicide-related tweets from July 1, 2015, to June 1, 2016, geolocated to Toronto, Canada, were collected and randomly selected for […]