Soul Glow: An Application for Helping to Understand and Improve Mental Health Care of HBCU Students

Williams, Lucretia; Washington, Gloria

doi:10.1109/ichi.2018.00055

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…Fourteen papers used machine learning algorithms to analyze the data extracted online. The results of the studies that used classification models to predict depression, yielded above 70% accuracy scores in all three cases 25,26,37 . One study categorized depression into four levels and through their model, classified a user with depression into any of the four categories 25 .…”

Section: Study Outcomesmentioning

confidence: 95%

“…Fourteen studies focused on general mental health disorders without specifying one particular disorder 11,12,14,15,16,17,18,19,21,23,25,28,32,35 . Twelve studies were on depression 8,9,13,20,22,24,26,27,29,31,33,36 , two on schizophrenia 10,36 and four discussed suicide 29,30,34,36 . Individual studies also discussed other illnesses such as anxiety 36 , stress 8 , bipolar disorder 20 and post-traumatic stress disorder 20 .…”

Section: Mental Health Domainmentioning

confidence: 99%

“…The intervention based studies included three qualitative analyses studies that respectively examined the comments under YouTube videos related to schizoaffective disorders 8 , the posts from various social media platforms to understand what users expected in this exchange 28 , and the tweets to see why users use social media for mental health services 9 . Intervention based studies also included three thematic analyses 14,16,26 with various purposes such as assessing the power of Twitter for mental health and studying experiences of youth using social media for the same purpose. One longitudinal text analysis study 32 was conducted to explore timelines of users that committed suicide to identify patterns and another text outlined a framework that proposed an e-psychology platform 13 .…”

Section: Characteristics Of Studiesmentioning

confidence: 99%

“…One study investigated comments under videos in YouTube 8 and four study concentrated on Facebook 22,25,30,31 . Six studies analyzed the usage and benefits of different mobile applications related to mental health 6,10,11,17,23,26 while three studies collected posts from online websites that give access to posts from social media accounts and personal blogs freely 7,34,35 .…”

Section: Characteristics Of Studiesmentioning

confidence: 99%

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Social media interventions for mental health: A scoping review

Ali¹

2019

Preprint

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Background: Social media in healthcare has been widely used over the past few years with increasing popularity worldwide. Social media platforms can potentially act as a possible mental health service provider by improving communication, awareness and education. Objective: The aim of this scoping review is to describe the use of social media interventions for mental health and to provide an understanding of the current state of knowledge. Methods: The search platforms utilized for the scoping review were PubMed and IEEE. The inclusion criteria were as follows: research-based articles, primary means for mental health service is social media, and articles that specify mental disorders (depression, anxiety, etc). Results: After applying the inclusion and exclusion criteria on 190 articles, 30 were included for the purpose of this review. Twelve studies originated from the USA while six studies were from the UK. While fourteen papers were on general mental health disorders, twelve papers focused on depression. The results generally showed that social media interventions for mental health had advantages over the conventional treatments. A lack of studies from developing countries, and fewer studies including the elderly population and the assumption of digital literacy are among the identified gaps. Conclusion: Social media has the potential to act as a service provider for users with mental health issues. However, the effectiveness of this method has not been accurately measured and more research is required for evaluating the effectiveness of using social media for treatment over conventional methods.

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Section: Study Outcomesmentioning

confidence: 95%