scholarly journals A unified deep neuro-fuzzy approach for COVID-19 twitter sentiment classification

2021 ◽  
pp. 1-11
Author(s):  
Aman Bahuguna ◽  
Deepak Yadav ◽  
Apurbalal Senapati ◽  
Baidya Nath Saha
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Well Being ◽  
Sentiment Classification ◽  
Syntactic Analysis ◽  
Economic Damage ◽  
Fuzzy Approach ◽  
Health Crisis ◽  
Twitter Data ◽  
Neuro Fuzzy

Covid-19 braces serious mental health crisis across the world. Since a vast majority of the population exploit social media platforms such as twitter to exchange information, rapid collecting anf analyzing social media data to understand personal well-being and subsequently adopting adequate measures could avoid severe socio-economic damage. Sentiment analysis on twitter data is very useful to understand and identify the mental health issues. In this research, we proposed a unified deep neuro-fuzzy approach for Covid-19 twitter sentiment classification. Fuzzy logic has been a very powerful tool for twitter data analysis where approximate semantic and syntactic analysis is more relevant because correcting spelling and grammar in tweets are merely obnoxious. We conducted the experiment on three challenging COVID-19 twitter sentiment datasets. Experimental results demonstrate that fuzzy Sugeno integral based ensembled classifers succeed over individual base classifiers.

Leveraging Twitter Using Artificial Intelligence to Explore Mental Health Insights in the UK During the COVID-19 Pandemic (Preprint)

2021 ◽  
Author(s):  
Christopher Marshall ◽  
Kate Lanyi ◽  
Rhiannon Green ◽  
Georgie Wilkins ◽  
Fiona Pearson ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Language Processing ◽  
Mental Health Problems ◽  
Well Being ◽  
Research Activity ◽  
Health Crisis ◽  
Key Topics ◽  
The Uk ◽  
The Impact

BACKGROUND There is increasing need to explore the value of soft-intelligence, leveraged using the latest artificial intelligence (AI) and natural language processing (NLP) techniques, as a source of analysed evidence to support public health research activity and decision-making. OBJECTIVE The aim of this study was to further explore the value of soft-intelligence analysed using AI through a case study, which examined a large collection of UK tweets relating to mental health during the COVID-19 pandemic. METHODS A search strategy comprising a list of terms related to mental health, COVID-19, and lockdown restrictions was developed to prospectively collate relevant tweets via Twitter’s advanced search application programming interface over a 24-week period. We deployed a specialist NLP platform to explore tweet frequency and sentiment across the UK and identify key topics of discussion. A series of keyword filters were used to clean the initial data retrieved and also set up to track specific mental health problems. Qualitative document analysis was carried out to further explore and expand upon the results generated by the NLP platform. All collated tweets were anonymised RESULTS We identified and analysed 286,902 tweets posted from UK user accounts from 23 July 2020 to 6 January 2021. The average sentiment score was 50%, suggesting overall neutral sentiment across all tweets over the study period. Major fluctuations in volume and sentiment appeared to coincide with key changes to any local and/or national social-distancing measures. Tweets around mental health were polarising, discussed with both positive and negative sentiment. Key topics of consistent discussion over the study period included the impact of the pandemic on people’s mental health (both positively and negatively), fear and anxiety over lockdowns, and anger and mistrust toward the government. CONCLUSIONS Through the primary use of an AI-based NLP platform, we were able to rapidly mine and analyse emerging health-related insights from UK tweets into how the pandemic may be impacting people’s mental health and well-being. This type of real-time analysed evidence could act as a useful intelligence source that agencies, local leaders, and health care decision makers can potentially draw from, particularly during a health crisis.

scholarly journals Social media and mental health: Reviewing effects on eudaimonic well-being

2021 ◽  
Author(s):  
Adrian Meier ◽  
Leonard Reinecke
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Media Use ◽  
Well Being ◽  
Social Media Use ◽  
Self Actualization ◽  
Resilience Factors ◽  
Omission Bias ◽  
Health And Well Being

Do social media affect users’ mental health and well-being? By now, considerable research has addressed this highly contested question. Prior studies have investigated the effects of social media use on hedonic well-being (e.g., affect and life satisfaction), psychopathology (e.g., depressive or anxiety symptoms), or psychosocial risk/resilience factors (e.g., loneliness, stress, self-esteem). Yet, public concern over social media effects often centers on more long-term negative outcomes, which may be better captured by indicators of eudaimonic well-being. Indeed, neglecting the eudaimonic side of well-being may have introduced outcome omission bias, since eudaimonia is both conceptually and empirically distinct from other dimensions of mental health and may be uniquely affected by social media use. Specifically, psychology currently theorizes eudaimonic well-being to be best represented by the experiences of (a) meaningfulness, (b) authenticity, and (c) self-actualization. A research synthesis of how social media use relates to these core indicators of eudaimonia is currently missing, however. We thus present a first narrative review that synthesizes both theoretical and empirical links between three key social media uses (i.e., active, passive, and “screen time”) and eudaimonic well-being. The synthesis shows that while there are indeed several plausible theoretical links, the evidence is too scarce and inconsistent to allow definitive conclusions at this time. We instead give recommendations for how the field can close important gaps by investigating whether social media afford or constrain opportunities to find meaning, live authentically, and grow as a person.

scholarly journals Mediating Effect of Personal Meaning in the Prediction of Life Satisfaction and Mental Health Problems Based on Coronavirus Suffering

2021 ◽  
Vol 12 ◽  
Author(s):  
Gökmen Arslan ◽  
Murat Yıldırım ◽  
Mega M. Leung
Keyword(s):  
Mental Health ◽  
Life Satisfaction ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Mediating Effect ◽  
Personal Meaning ◽  
Health Crisis ◽  
Negative Effect ◽  
Health And Well Being

Research Problem: The onset of the COVID-19 pandemic has triggered a multi-faceted crisis worldwide. Researchers and health authorities in various parts of the world echoed the dire condition of the public's mental health. This study sought to examine the mediating effect of personal meaning on the association between coronavirus (COVID-19)-related suffering, mental health problems, and life satisfaction. Participants included 231 adults (mean age = 46.65 ± 13.98; 68% female) and completed measures of suffering related to COVID-19, meaning, life satisfaction, and mental health problems online.Results: Findings from mediation analysis showed that suffering had significant associations with personal meaning, mental health, and well-being. Furthermore, personal meaning was significantly associated with adults' mental health and well-being and mediated the negative effect of suffering on mental health and well-being.Discussion: Overall, results from this study indicate that personal meaning is an important promotive factor that may help to understand the negative effect of coronavirus-related suffering on mental health and well-being amid the public health crisis.

Transition points: well-being and disciplinary identity in the first years of doctoral studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John A. Gonzalez ◽  
Heeyun Kim ◽  
Allyson Flaster
Keyword(s):  
Mental Health ◽  
Doctoral Students ◽  
Developmental Trajectories ◽  
Well Being ◽  
Psychological Needs ◽  
Doctoral Studies ◽  
Doctoral Study ◽  
Health Crisis ◽  
Content Type ◽  
Disciplinary Identity

Purpose The purpose of this study is to examine doctoral students’ developmental trajectories in well-being and disciplinary identity during the first three years of doctoral study. Design/methodology/approach This study relies on data from a longitudinal study of PhD students enrolled at a large, research-intensive university in the USA. A group-based trajectory modeling approach is used to examine varying trajectories of well-being and disciplinary identity. Findings The authors find that students’ physical health, mental health and disciplinary identity generally decline during the first few years of doctoral study. Despite this common downward trend, the results suggest that six different developmental trajectories exist. Students’ backgrounds and levels of stress, psychological needs satisfaction, anticipatory socialization experiences and prior academic success predict group membership. Originality/value Although there is emergent evidence of a mental health crisis in graduate education scant evidence exists about the way in which well-being changes over time as students progress through their doctoral studies. There is also little evidence of how these changes might be related to academic processes such as the development of disciplinary identity. This study reported varying baseline degrees of well-being and disciplinary identity and offers that stress and unmet psychological needs might be partially responsible for varying trajectories.

scholarly journals Social Media Activities, Emotion Regulation Strategies, and Their Interactions on People’s Mental Health in COVID-19 Pandemic

2020 ◽  
Vol 17 (23) ◽  
pp. 8931 ◽  
Author(s):  
Yang Yang ◽  
Keqiao Liu ◽  
Siqi Li ◽  
Man Shu
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Emotion Regulation ◽  
Online Survey ◽  
Health Indicators ◽  
Well Being ◽  
Emotion Regulation Strategies ◽  
Cross Sectional ◽  
Psychological Well Being ◽  
Regulation Strategies

The COVID-19 pandemic has dramatically changed the general population’s life worldwide. People may spend more time on social media because of policies like “work at home”. Using a cross-sectional dataset collected through an online survey in February 2020, in China, we examined (1) the relationships between social media activities and people’s mental health status and (2) the moderation effect of emotional-regulation strategies. The sample included people aged ≥18 years from 32 provinces and regions in China (N = 3159). The inferential analyses included a set of multiple linear regressions with interactions. Our results showed that sharing timely, accurate, and positive COVID-19 information, reducing excessive discussions on COVID-19, and promoting caring online interactions rather than being judgmental, might positively associate with the general public’s psychological well-being. Additionally, the relationships between social media activities and psychological well-being varied at different emotion-regulation strategy levels. Adopting the cognitive reappraisal strategy might allay the adverse relationships between certain social media activities and mental health indicators. Our findings expanded the theory of how social media activities can be associated with a human being’s mental health and how it can interact with emotion-regulation strategies during the COVID-19 pandemic.

scholarly journals Association of Social Media Use With Social Well-Being, Positive Mental Health, and Self-Rated Health: Disentangling Routine Use From Emotional Connection to Use

2019 ◽  
Vol 46 (2_suppl) ◽  
pp. 69S-80S ◽  
Author(s):  
Mesfin A. Bekalu ◽  
Rachel F. McCloud ◽  
K. Viswanath
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Health Outcomes ◽  
Media Use ◽  
Well Being ◽  
Dose Effect ◽  
Social Media Use ◽  
Emotional Connection ◽  
Self Rated Health ◽  
Health Related

Most studies addressing social media use as a normal social behavior with positive or negative effects on health-related outcomes have conceptualized and measured social media use and its effects in terms of dose–effect relations. These studies focus on measuring frequency and duration of use, and have seldom considered users’ emotional connections to social media use and the effects associated with such connections. By using a scale with two dimensions capturing users’ integration of social media use into their social routines and their emotional connection to the sites’ use, the present study has brought preliminary evidence that may help map where social media use, as a normal social behavior, may be considered beneficial or harmful. Data from a nationally representative sample ( n = 1,027) of American adults showed that while routine use is associated with positive health outcomes, emotional connection to social media use is associated with negative health outcomes. These associations have been consistent across three health-related outcomes: social well-being, positive mental health, and self-rated health. The data also showed that the strength of the positive and negative associations of routine use and emotional connection with the health outcomes varies across socioeconomic and racial/ethnic population subgroups. Our findings suggest that the link between social media use and health may not only be captured by and explained in terms of conventional dose–effect approaches but may also require a more sophisticated conceptualization and measurement of the social media use behavior.

scholarly journals How do Norwegian adolescents experience the role of social media in relation to mental health and well-being: a qualitative study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Gunnhild Johnsen Hjetland ◽  
Viktor Schønning ◽  
Randi Træland Hella ◽  
Marius Veseth ◽  
Jens Christoffer Skogen
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Media Use ◽  
Self Regulation ◽  
Well Being ◽  
Practical Significance ◽  
Health Issues ◽  
Social Media Use ◽  
Mental Health Issues ◽  
Health And Well Being

Abstract Background During the last decade, social media has permeated most parts of society. Adolescents are particularly active users of social media, and their use has been suggested as a contributing factor to mental health issues in this group. Quantitative studies have found associations between the frequency and/or duration of social media use and more mental health issues. However, most studies are cross-sectional and the identified associations are weak and of questionable practical significance. The aim of this study was to investigate adolescents’ lived experiences of using social media, focusing on both negative and positive aspects, using a qualitative approach. Qualitative research enables in-depth explorations of the experiences of individuals, nuance quantitative findings, and offer the perspective of adolescents into policies regarding social media use. Methods Experiences and perspectives of 27 adolescents from two senior high schools in Norway were gathered using focus group interviews (mean age 16.8, range 15–18). The data were analysed using thematic analysis. Results According to the participants, social media use catalyse changes to how people communicate and relate to each other (theme 1). Some changes were positive, in terms of facilitating social connectedness, while others were negative, such as people behaving worse than in face-to-face interactions. Further, social media use affected the participants at the individual level (theme 2); positively in terms of a sense of belonging and social support, and negatively in terms of perceived stress, body pressure, and displacing other activities such as sleep and homework. The motivations for using, or not using, social media were multifaceted (theme 3), reflecting the positive and negative aspects of social media in terms of interpersonal and personal consequences. Conclusion Social media was described as an important part of the participants’ everyday life, with both a positive and negative impact on their mental health and well-being. Considering the compelling nature of social media and adolescents’ relatively limited self-regulatory capacities, efforts to modify social media use should avoid relying on self-regulation, while also recognizing the importance of social media as an arena for peer interaction.

scholarly journals Adolescent Social Media User Types and their Mental Health and Well-being: results from a longitudinal survey of 13–14-year-olds in the United Kingdom

2021 ◽  
Author(s):  
Lizzy Winstone ◽  
Becky Mars ◽  
CMA Haworth ◽  
Jon Heron ◽  
Judi Kidger
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Screen Time ◽  
Online Survey ◽  
Latent Class ◽  
Media Use ◽  
Well Being ◽  
Poor Mental Health ◽  
Social Media Use ◽  
Health And Well Being

Background There is mixed evidence as to the effects of different types of social media use on mental health, but previous research has been platform-specific and has focused on an oversimplified distinction between active and passive use. This study aimed to identify different underlying subgroups of adolescent social media user based on their pattern of social media activities and test associations between user type and future mental health. Methods Students from nineteen schools (N=2,456) in south-west England completed an online survey measuring thirteen social media activities and four psychosocial outcomes (past year self-harm, depression, anxiety and poor well-being) at age 13 years (October 2019) and repeated a year later (October 2020; aged 14 years). Latent class analysis using Mplus identified distinct classes of social media user. A bias-adjusted three-step model was used to test associations between class membership at baseline and mental health at follow-up. Analyses were adjusted for gender, ethnicity, sexual orientation, socio-economic status, disability, social media screen-time and baseline mental health.Results A four-class model of social media user at baseline was selected based on fit statistics and interpretability. User types were labelled High Communicators; Moderate Communicators; Broadcasters; and Minimal users. Broadcasters at age 13 had the poorest mental health outcomes at age 14, with mental health and well-being generally better in the two Communicator groups. Conclusions Findings suggest that adolescents with high levels of content sharing – in addition to socialising and browsing online – are most likely to be experiencing poor mental health a year later. Recommendations regarding social media use should move beyond screen-time to consider different user types, and mental health implications of their engagement with different online activities.

scholarly journals Depression during the COVID-19 pandemic amongst residents of homeless shelters in France.

2021 ◽  
Author(s):  
Honor Scarlett ◽  
Camille Davisse-Paturet ◽  
Cecile Longchamps ◽  
Tarik El Aarbaoui ◽  
Cecile Allaire ◽  
...  
Keyword(s):  
Mental Health ◽  
Eastern Mediterranean ◽  
Global Mental Health ◽  
Severe Depression ◽  
Well Being ◽  
Homeless Persons ◽  
Homeless Population ◽  
Health Crisis ◽  
Metropolitan Regions ◽  
The Impact

Background: Accumulating evidence suggests that the COVID–19 pandemic has negatively affected global mental health and well–being. However, the impact amongst homeless persons has not been fully evaluated. The ECHO study reports factors associated with depression amongst the homeless population living in shelters in France during the Spring of 2020. Methods: Interview data were collected from 527 participants living in temporary and/or emergency accommodation following France's first lockdown (02/05/20 – 07/06/20), in the metropolitan regions of Paris (74%), Lyon (19%) and Strasbourg (7%). Interviews were conducted in French, English, or with interpreters (33% of participants, ~20 languages). Presence of depression was ascertained using the Patient Health Questionnaire (PHQ–9). Results: Amongst ECHO study participants, 30% had symptoms of moderate to severe depression (PHQ–9≥ 10). Multivariate analysis revealed depression to be associated with being female (aOR: 2.15; CI: 1.26–3.69), being single (aOR: 1.60; CI: 1.01–2.52), having a chronic illness (aOR: 2.32; CI: 1.43–3.78), facing food insecurity (aOR: 2.12; CI: 1.40–3.22) and participants' region of origin. Persons born in African and Eastern Mediterranean regions showed levels of depression comparable to those of French participants (30–33%) but higher than migrants from European countries (14%). Reduced rates of depression were observed amongst participants aged 30–49 (aOR: 0.60; CI: 0.38–0.95) and over 50 (aOR: 0.28; CI: 0.13–0.64), compared to 18–29–year–olds. Conclusions: Our results indicate high levels of depression among homeless persons during the COVID–19 pandemic. The value of these findings extends beyond the health crisis, as predicted future instability and economic repercussions could particularly impact the mental health of this vulnerable group.

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