Time-dependent association between the discussions of mass protests and mental health on social media during the 2019 anti-government social unrest in Hong Kong: A text mining study

2021 ◽  
Author(s):  
Christian Shaunlyn Chan ◽  
Takeshi Hamamura
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Positive Association ◽  
Time Dependent ◽  
Online Forums ◽  
Social Unrest ◽  
Time Lagged ◽  
Mass Protest ◽  
Dynamic Relationships ◽  
Health Discourse

PurposeSocial media are increasingly pivotal as the platform where activists and observers plan, promote, and respond to collective actions. To examine how mental health discourse might be impacted by mass protests, this study analyzed their time-dependent association during the 2019 anti-government social unrest in Hong Kong.MethodsConsecutive day-by-day user-generated content on online forums and social network sites (SNS) from June to November 2019 was obtained. A Cantonese term-list was created to identify terms related to mass protests and mental health discourse. The frequency of comments containing such terms was analyzed using time series models.ResultsThere were 3,572,665 social media comments in the investigation period. As hypothesized, the frequency of comments with mass protest terms was higher on days with mass protests than on days without. Frequency of comments with both mass protest- and mental health-terms was also higher on days with protests than days without. A time-lagged effect of protest-terms was found on online forums but not on SNS. Our results suggest a positive association between offline protest activities and online psychological reactions.ConclusionsSocial media content reveals discussion of mental health concerns stemming from, or exacerbated by, social unrest. The potential mutual influences between mass protests and online reactions, as well as the functional differences between online forums and SNS in this regard, are discussed. Street protests and their associated mental health discourse can be readily detected on popular online forums. Mental health services should consider such dynamic relationships between on- and offline activities.

scholarly journals Can the internet tell that you’re depressed? Machine learning of language use on Twitter reveals weak and non-specific predictions

2021 ◽  
Author(s):  
Sean Kelley ◽  
Caoimhe Ní Mhaonaigh ◽  
Louise Burke ◽  
Robert Whelan ◽  
Claire Gillan
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Predictive Performance ◽  
Depression Symptoms ◽  
Online Forums ◽  
Linguistic Features ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Indirect Measures ◽  
Out Of Sample

Background: Depressed individuals use language differently than healthy controls and it has been proposed that social media posts could therefore be used to identify depression. But much of the evidence behind this claim relies on indirect measures of mental health that are sometimes circular, such as statements of self-diagnosis (“Got an OCD diagnosis today”) on social media or membership in disorder-specific online forums. Relatedly, few studies have tested if these language features are specific to depression versus other aspects of mental health. Methods: We analyzed the Tweets of 1,006 participants who completed questionnaires assessing symptoms of depression and 8 other mental health conditions. Daily Tweets were subjected to textual analysis and the resulting linguistic features were used to train an Elastic Net model on depression severity, using nested cross validation. We then tested performance in a held-out test set (30%), comparing predictions of depression versus 8 other aspects of mental health. Results: The depression trained model had only modest predictive performance when tested out of sample, explaining just 2.5% of variance in depression symptoms (R2 = 0.025). The performance of this model was as-good or superior when used to identify other aspects of mental health: schizotypy (R2 = 0.035), social anxiety (R2 = 0.025), eating disorders (R2 = 0.025), generalized anxiety (R2 = 0.041), above chance for obsessive-compulsive disorder (R2 = 0.011), apathy (R2 = 0.008), but not significant for alcohol abuse (R2 = -0.012).

Prescriptive Power: Biologism, Biopsychiatry and Drug-centred Psychopharmacology

Somatechnics ◽  
2019 ◽  
Vol 9 (2-3) ◽  
pp. 291-309
Author(s):  
Francis Russell
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Social Justice ◽  
Cultural Theory ◽  
Human Experience ◽  
Mental Illnesses ◽  
False Consciousness ◽  
The Subject ◽  
Biological Ontology ◽  
Health Discourse

This paper looks to make a contribution to the critical project of psychiatrist Joanna Moncrieff, by elucidating her account of ‘drug-centred’ psychiatry, and its relation to critical and cultural theory. Moncrieff's ‘drug-centred’ approach to psychiatry challenges the dominant view of mental illness, and psychopharmacology, as necessitating a strictly biological ontology. Against the mainstream view that mental illnesses have biological causes, and that medications like ‘anti-depressants’ target specific biological abnormalities, Moncrieff looks to connect pharmacotherapy for mental illness to human experience, and to issues of social justice and emancipation. However, Moncrieff's project is complicated by her framing of psychopharmacological politics in classical Marxist notions of ideology and false consciousness. Accordingly, she articulates a political project that would open up psychiatry to the subjugated knowledge of mental health sufferers, whilst also characterising those sufferers as beholden to ideology, and as being effectively without knowledge. Accordingly, in order to contribute to Moncrieff's project, and to help introduce her work to a broader humanities readership, this paper elucidates her account of ‘drug-centred psychiatry’, whilst also connecting her critique of biopsychiatry to notions of biologism, biopolitics, and bio-citizenship. This is done in order to re-describe the subject of mental health discourse, so as to better reveal their capacities and agency. As a result, this paper contends that, once reframed, Moncrieff's work helps us to see value in attending to human experience when considering pharmacotherapy for mental illness.

The Psychology behind Users Mental Health in Social Media

2018 ◽  
Vol 6 (5) ◽  
pp. 309-316
Author(s):  
D. Sridhar ◽  
◽  
◽  
V. Kathiresan
Keyword(s):  
Mental Health ◽  
Social Media

Social Media Use in College-age Youth: A Comprehensive Review and a Call to Action

2020 ◽  
Vol 9 (2) ◽  
pp. 128-143
Author(s):  
Hilary Holmes ◽  
Alba E. Lara ◽  
Gregory S. Brown
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Media Use ◽  
Experimental Studies ◽  
Health Awareness ◽  
Social Media Use ◽  
Call To Action ◽  
College Age ◽  
Mental Health Awareness ◽  
Privacy Breaches

Background: Social media is a relatively new and impactful way to connect millions of people around the world. The intersection of mental health and social media is a poorly studied, yet important area of research. Specifically, with regard to college-aged youth, social media can potentially offer an educational tool to enhance mental health awareness or augment treatment when it is used for professional purposes by mental health advocates or healthcare professionals. There is also the added risk of disinformation, cyberbullying, and privacy breaches. Objective: This review aims to assess the current state of social media use and its influence on mental health, especially in college-age youth. Methods: The authors of this paper utilized PubMed and Medline databases to review the most recent experimental studies and literature reviews available on the topic of mental health and social media. Results: Abstracts and relevant papers were read in full, and information from these studies was cited accordingly. Conclusion: The authors conclude that although more research needs to be conducted, social media may offer benefits for mental health awareness, education, and treatment, specifically in populations such as college-age youth.

The Relationship Between Highly Visual Social Media and Young People’s Mental Health: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Alanna McCrory
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Young People ◽  
Scoping Review ◽  
Quantitative Methods ◽  
Grey Literature ◽  
Significant Proportion ◽  
Mental Wellbeing ◽  
Published Evidence ◽  
The Impact

UNSTRUCTURED Users of highly visual social media (HVSM), such as Snapchat and Instagram, share their messages through images, rather than relying on words. A significant proportion of people that use these platforms are adolescents. Previous research reveals mixed evidence regarding the impact of online social technologies on this age group’s mental wellbeing, but it is uncertain whether the psychological effects of visual content alone differ from text-driven social media. This scoping review maps existing literature that has published evidence about highly visual social media, specifically its psychological impact on young people. Nine electronic databases and grey literature from 2010 until March 2019 were reviewed for articles describing any aspect of visual social media, young people and their mental health. The screening process retrieved 239 articles. With the application of eligibility criteria, this figure was reduced to 25 articles for analysis. Results indicate a paucity of data that exclusively examines HVSM. The predominance of literature relies on quantitative methods to achieve its objectives. Many findings are inconsistent and lack the richness that qualitative data may provide to explore the reasons for theses mixed findings.

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