scholarly journals Twitter Data Sentiment Analysis to Understand the Effects of COVID-19 on Mental Health

Author(s):  
Adeola Adetokunbo Ayandeyi ◽  
Baidya Nath Saha

Coronavirus pandemic has caused major change in peoples’ personal and social lives. The psychological effects have been substantial because it has affected the ways people live, work, and even socialize. It has also become major discussions on social media platforms as people showcase their opinions and the effect of the virus on their mental health particularly. This pandemic is the first of its kind as humans has never encountered anything like this virus. Handling it was very difficult at first as its characteristics are peculiar. Eventually, it was detected that it is airborne and so there is need to social distance. Before the virus surfaced, some countries of the world were dealing with mental health cases, with over 40 percent of adults in the USA reported experiencing mental health challenges, including anxiety and depression. Social media has become one of the major sources of information due to information sharing on a very large scale. People perception and emotions are also portrayed through their conversations. In this research work, the interaction and conversation of people on social media, particularly Twitter, will be analyzed using machine learning tools and algorithm to determine the effect of the virus on the mental health of people and help suggest the area of concentration to medical practitioners in order to speed up the recovery process and reduce the mental health issues which has escalated due to the virus.

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 24
Author(s):  
Muhammad Mainuddin Patwary ◽  
Mondira Bardhan ◽  
Matthew H. E. M. Browning ◽  
Asma Safia Disha ◽  
Md. Zahidul Haque ◽  
...  

Unverified information concerning COVID-19 can affect mental health. Understanding perceived trust in information sources and associated mental health outcomes during the COVID-19 pandemic is vital to ensure ongoing media coverage of the crisis does not exacerbate mental health impacts. A number of studies have been conducted in other parts of the world to determine associations between information exposure relating to COVID-19 and mental health. However, the mechanism by which trust in information sources may affect mental health is not fully explained in the developing country context. To address this issue, the present study examined associations between perceived trust in three sources of information concerning COVID-19 and anxiety/stress with the mediating effects of COVID-19 stress in Bangladesh. An online cross-sectional study was conducted with 744 Bangladeshi adults between 17 April and 1 May 2020. Perceived trust in traditional, social, and health media for COVID-19 information, demographics, frontline service status, COVID-19-related stressors, anxiety (GAD-7), and stress (PSS-4) were assessed via self-report. Linear regression tested for associations between perceived trust and mental health. Mediation analyses investigated whether COVID-19-related stressors affected perceived trust and mental health associations. In fully adjusted models, more trust in social media was associated with more anxiety (B = 0.03, CI = 0.27–0.97) and stress (B = 0.01, CI = −0.34–0.47), while more trust in traditional media was associated with more anxiety (B = 0.09, CI = 0.17–2.26) but less stress (B = −0.08, CI = −0.89–0.03). Mediation analyses showed that COVID-19-related stressors partially explained associations between perceived trust and anxiety. These findings suggest that trusting social media to provide accurate COVID-19 information may exacerbate poor mental health. These findings also indicate that trusting traditional media (i.e., television, radio, and the newspaper) may have stress-buffering effects. We recommend that responsible authorities call attention to concerns about the trustworthiness of social media as well as broadcast positive and authentic news in traditional media outcomes based on these results.


2020 ◽  
Vol 3 ◽  
pp. 251581632097208
Author(s):  
Pengfei Zhang ◽  
Santosh Bhaskarabhatla

Background: Twitter is a leading microblogging platform, with over 126 million daily active users as of 2019, which allows for large-scale analysis of tweets related to migraine. June 2020 encompassed the National Migraine and Headache Awareness Month in the United States and the American Headache Society’s virtual annual conference, which offer opportunities for us to study online migraine advocacy. Objective: We aim to study the content of individual tweets about migraine, as well as study patterns of other topics that were discussed in those tweets. In addition, we aim to study the sources of information that people reference within their tweets. Thirdly, we want to study how online awareness and advocacy movements shape these conversations about migraine. Methods: We designed a Twitter robot that records all unique public tweets containing the word “migraine” from May 8th, 2020 to June 23rd, 2020, within a 400 km radius of New Brunswick, New Jersey, United States. We built two network analysis models, one for the months of May 2020 and June 2020. The model for the month of May served as a control group for the model for the month of June, the Migraine Awareness Month. Our network model was developed with the following rule: if two hashtag topics co-exist in a single tweet, they are considered nodes connected by an edge in our network model. We then determine the top 30 most important hashtags in the month of May and June through applications of degree, between-ness, and closeness centrality. We also generated highly connected subgraphs (HCS) to categorize clusters of conversations within each of our models. Finally, we tally the websites referenced by these tweets during each month and categorized these websites according to the HCS subgroups. Results: Migraine advocacy related tweets are more popular in June when compared to May as judged by degree and closeness centrality measurements. They remained unchanged when judged by between-ness centralities. The HCS algorithm categorizes the hashtags into a large single dominant conversation in both months. In each of the months, advocacy related hashtags are apart of each of the dominant conversation. There are more hashtag topics as well as more unique websites referenced in the dominant conversation in June than in May. In addition, there are many smaller subgroups of migraine-related hashtags, and in each of these subgroups, there are a maximum of two websites referenced. Conclusion: We find a network analysis approach to be fruitful in the area of migraine social media research. Migraine advocacy tweets on Twitter not only rise in popularity during migraine awareness month but also may potentially bring in more diverse sources of online references into the Twitter migraine conversation. The smaller subgroups we identified suggest that there are marginalized conversations referencing a limited number of websites, creating a possibility of an “echo chamber” phenomenon. These subgroups provide an opportunity for targeted migraine advocacy. Our study therefore highlights the success as well as potential opportunities for social media advocacy on Twitter.


2020 ◽  
Author(s):  
Jina Kim ◽  
Daeun Lee ◽  
Eunil Park

BACKGROUND Social media platforms provide an easily accessible and time-saving communication approach for individuals with mental disorders compared to face-to-face meetings with medical providers. Recently, machine learning (ML)-based mental health exploration using large-scale social media data has attracted significant attention. OBJECTIVE We aimed to provide a bibliometric analysis and discussion on research trends of ML for mental health in social media. METHODS Publications addressing social media and ML in the field of mental health were retrieved from the Scopus and Web of Science databases. We analyzed the publication distribution to measure productivity on sources, countries, institutions, authors, and research subjects, and visualized the trends in this field using a keyword co-occurrence network. The research methodologies of previous studies with high citations are also thoroughly described. RESULTS We obtained a total of 565 relevant papers published from 2015 to 2020. In the last 5 years, the number of publications has demonstrated continuous growth with <i>Lecture Notes in Computer Science</i> and <i>Journal of Medical Internet Research</i> as the two most productive sources based on Scopus and Web of Science records. In addition, notable methodological approaches with data resources presented in high-ranking publications were investigated. CONCLUSIONS The results of this study highlight continuous growth in this research area. Moreover, we retrieved three main discussion points from a comprehensive overview of highly cited publications that provide new in-depth directions for both researchers and practitioners.


Author(s):  
Samara Ahmed ◽  
Adil E. Rajput ◽  
Akil Sarirete ◽  
Asmaa Aljaberi ◽  
Ohoud Alghanem ◽  
...  

Social media, traditionally reserved for social exchanges on the net, has been increasingly used by researchers to gain insight into different facets of human life. Unemployment is an area that has gained attention by researchers in various fields. Medical practitioners especially in the area of mental health have traditionally monitored the effects of involuntary unemployment with great interest. In this work, we compare the feedback gathered from social media using crowdsourcing techniques to results obtained prior to the advent of Big Data. We find that the results are consistent in terms of 1) financial strain is the biggest stressor and concern, 2) onslaught of depression is typical and 3) possible interventions including reemployment and support from friends and family is crucial in minimizing the effects of involuntary unemployment. Lastly, we could not find enough evidence to study effects on physical health and somatization in this work.


1988 ◽  
Vol 12 (2) ◽  
pp. 78-78
Author(s):  
Isaac Marks ◽  
Joseph Connolly ◽  
Matthijs Muijen

Mental health care evaluation is a priority area as mental health care services are changing rapidly, more than are most other medical services. Budgets are finite, and there is concern for value for money in meeting the needs of patients and families. A one-day workshop brought together leading figures in the USA and Europe to discuss how a unit and consortium might be established to give cohesion and catalyse evaluative research in this fragmented field in the UK. Sound scientific data are available which have not yet been widely disseminated or used in policy making. There are rich opportunities for cross-national projects. The USA has intriguing innovations in evaluative research in mental health, some on a large scale, and these are relevant to the UK.


2003 ◽  
Vol 9 (6) ◽  
pp. 464-470 ◽  
Author(s):  
Brendan D. Kelly

Globalisation means crossing borders. It is a complex, large-scale social phenomenon that presents to mental health services both challenges and opportunities. These relate to the increased cultural diversity of service users and service providers; the effects of migration on mental health; and the implementation of international protocols in relation to training, policy and education. In the aftermath of 11 September 2001 in the USA, the relationship between large-scale social change and mental health has also focused attention on the concepts of anomie and social capital. An explicit return to the principles of biopsychosocial psychiatry and a positive engagement with globalisation will advance the development of effective, evidence-based models of care appropriate to the changing needs of patients.


2020 ◽  
Vol 13 (4) ◽  
pp. 151-167
Author(s):  
Raffaella Margherita Milani ◽  
Keisha Nahar ◽  
Daniel Ware ◽  
Alan Butler ◽  
Sean Roush ◽  
...  

Purpose Dual Diagnosis Anonymous (DDA) is a peer-led programme developed in the USA, which aims to address mental and addictive disorders in an integrated manner. This study is part of a mixed-methods evaluation of the first DDA pilot in the UK, and the purpose of this study is to explore the impact and mechanism of change of the programme through the perspective of DDA attendees, facilitators and the funding commissioners. Design/methodology/approach Six DDA members were interviewed three times over a period of 12 months, the facilitators were interviewed twice and the commissioner was interviewed once. The qualitative longitudinal data were analysed using a trajectory thematic analysis. Findings DDA attendance was perceived to have had a positive impact on five main areas: acceptance of self, of others and from others; social functioning; self-development; recovery progression; and feeling of hope. The possibility of addressing both mental health and addiction at the same time was a key factor in the recovery process. The facilitators observed that DDA had contributed to integrate members into employment and education, while the commissioner stressed the importance of joint commissioning and sustainability. Originality/value The longitudinal approach provided a unique insight into the recovery process of DDA members. Being able to address the mental health as well as the substance use problems was considered to be a fundamental strength of DDA in comparison to the single purpose peer-support fellowships.


Author(s):  
Olga Novikova ◽  

Beginning with an overview of the threats of terrorism in Europe and the USA, the author offers a survey of factors that have been identified as influencing the practices of counterterrorism or law enforcement agencies. Massive counterterrorism operations in Syria and Iraq as well as effectiveness of the counterterrorism authorities curbed large-scale attacks of jihadists in both Western Europe and the United States. But with one of the Islamic State’s key goals being the formation of a new society, rather than simply military victories, the dissemination of its brand and ideology via mainstream social media becomes critical to achieving ISIS’ strategic goals. A surge in the Muslim population with subsequent high Muslim unemployment has been shown to be a predisposing factor for radicalization of the part of Muslim diasporas and its recruitment into the global jihad. The EU-members and the United States need to work more closely on disrupting jihadists’ social media, travel, recruitment and logistics, countering terrorist finance, protecting potential targets. The importance of sharing information is specifically underlined. But the polarisation of society, discrimination and other psychological and sociological factors can reinforce people’s vulnerability to radical discourse. Thus, counter-terrorism should not be purely repressive: integration and iclusion would contribute to prevention efforts, assuming that a more cohesive and inclusive society can help prevent the spread of extremist ideologies leading to terrorism.


2021 ◽  
pp. 334-343
Author(s):  
Krittin Chatrinan ◽  
Anon Kangpanich ◽  
Tanawin Wichit ◽  
Thanapon Noraset ◽  
Suppawong Tuarob ◽  
...  

Author(s):  
Ian Owens ◽  
Kirk Johnson

The world's natural history collections represent a vast repository of information on the natural and cultural world, collected over 250 years of human exploration, and distributed across institutions on six continents. These collections provide a unique tool for answering fundamental questions about biological, geological and cultural diversity and how they interact to shape our changing planet. Recent advances in digital and genomic technologies promise to transform how natural history collections are used, especially with respect to addressing scientific and socio-economic challenges ranging from biodiversity loss, invasive species and food security, to climate change, scarce minerals, and emerging tropical diseases. It is not clear, however, how ready these collections are to meet this challenge because relatively little is known about their size, composition or geographical distribution. Similarly, relatively little is known about the extent, expertise or demography of their curatorial workforce. To address these questions, a large collaborative team of directors and scientists have collated a global database on natural history collections that comprises more than 70 of the world's largest institutions, including museums, botanic gardens, research institutes and universities. The institutions represented in the database span Africa, Asia, Australasia, Europe, and North and South America, with approximately one third of institutions from each of the Global South, Europe and North America. The database includes information on the number of specimens and experts with respect to both geographic regions and collection categories and geographic regions. Geographic regions include both the terrestrial and marine realms, and collection categories span anthropology, botany, entomology, geology, paleobiology, and vertebrate and invertebrate zoology. Analyses of this new database reveal that the global natural history collection represents one of the most extensive distributed scientific infrastructures in the world, comprising more than 1 billion specimens that are curated by a workforce of more than 7,000 individuals. The analyses also indicate, however, that a major change in approach is required for these collections to realize their potential to inform future decision making and stimulate the basic research that underpins future questions and knowledge. For instance, at a global scale the collection and expertise does indeed exist to map change in key groups and regions - but this requires large-scale coordination across institutions and countries. Similarly, cross-institution collaboration is required to fill strategic gaps in the collection, particularly for tropical, marine and polar regions. And finally, there is an urgent need for coordinated investment in digital and genomic technologies to make collections available to the global research community and link them with other sources of information. The vast majority of collection information currently exists as 'dark data'. We conclude that the global natueral history collection comprises one of the most extensive distributed scientific infrastructures in the world, but a major change in approach is required for them to realize their potential to inform future decision making. In particular, natural history collections need to work more effectively together to develop a global strategy, create a common data platform, accelerate the availability and use of specimen data and pursue major new collecting programs.


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