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Finding information about mental health in microblogging platforms

Max L. Wilson, Susan Ali, Michel F. Valstar
2014 Proceedings of the 5th Information Interaction in Context Symposium on - IIiX '14  
Finding useful information in public microblogging platforms is an on-going hard problem and so to begin to develop a better model of what health information can be found, Twitter posts using the word  ...  "depression" were examined as a case study of a search for a prevalent mental health issue. 13,279 public tweets were analysed using a mixed methods approach and compared to a general sample of tweets.  ...  microblogging services, we have focused on a case study of a prevalent mental health issue, depression.  ... 
doi:10.1145/2637002.2637006 dblp:conf/iiix/WilsonAV14 fatcat:ijfcz2v6lrgetoseylsrhqpynu

Identification of Depression Severity for Users of Online Platforms

Ayan Bandyopadhyay, Linda Achilles, Thomas Mandl, Mandar Mitra, Sanjoy Kumar Saha
2019 Lernen, Wissen, Daten, Analysen  
Social media became one of the most popular platform to express feelings and thoughts in the world of digital information sharing.  ...  In the CLEF 2019 eRisk task 3, the goal is to detect how strong a user of social media is suffering from depression. The ground truth is obtained by asking persons a set of standardised questions.  ...  Acknowledgements This work was carried out during a stay of the first author at the University of Hildesheim in Germany.  ... 
dblp:conf/lwa/BandyopadhyayAM19 fatcat:e7yhap4y4nbofdsj4l46lf2uoq


Lela Susanty, Ardian Arifin, Darmadi Darmadi, Yuliana Yuliana, Ismawati Ismawati, Ahdi Topan Sofyan
2020 Edukasi Islami: Jurnal Pendidikan Islam  
The conclusion of this research is a social media platform is a very important role in the lives of young people every day.  ...  This research takes information from some of the posts that cover the same topic. Those selected are regular users of social media.  ...  Accessing Health Information Teenagers can find and access online information about their health problems easily and anonymously.  ... 
doi:10.30868/ei.v9i02.1334 fatcat:wyyyfbn5rnfkbgzscmrvtq7v6y

How People Show Their Emotions towards COVID-19 on Twitter Platform

Lu Zhao
2022 Advances in Journalism and Communication  
The pandemic that has lasted for more than three years exerted a significant influence on the life of people, especially on their physical and mental health of people.  ...  The study intends to find out how people express their sentiments on social media platforms-Twitter. It will adopt the quantitative methodology in analyzing the data.  ...  A gentle reminder to do what you can to take care of your physical and mental health in these difficult times".  ... 
doi:10.4236/ajc.2022.102012 fatcat:u64ym2zh3fhc7gxbnmfzgjmqkq

Depression risk prediction for Chinese microblogs via deep learning methods (Preprint)

Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Qingcai Chen, Jun Yan, Buzhou Tang
2020 JMIR Medical Informatics  
Depression is a serious personal and public mental health problem. Self-reporting is the main method used to diagnose depression and to determine the severity of depression.  ...  However, it is not easy to discover patients with depression owing to feelings of shame in disclosing or discussing their mental health conditions with others.  ...  Acknowledgments This study is supported in part by grants from the National Natural Science  ... 
doi:10.2196/17958 pmid:32723719 fatcat:4qio5qnufbfn3nzvscygrzuxia

Social Behavior Analysis and Thai Mental Health Questionnaire (TMHQ) Optimization for Depression Detection System

2020 IEICE transactions on information and systems  
Depression is a major mental health problem in Thailand. The depression rates have been rapidly increasing. Over 1.17 million Thai people suffer from this mental illness.  ...  Given Facebook is the most popular social network platform in Thailand, it could be a large-scale resource to develop a depression detection tool.  ...  Acknowledgments This paper is a part of the larger research which would have been impossible without the support of the Council of University Presidents of Thailand Funding in the project of Healthcare  ... 
doi:10.1587/transinf.2019iip0003 fatcat:sbcbklgtwjc6ff3s37mn4asugu

Social Media as a Promotional Tool in the Fashion Industry: A Case Study on Meta Platforms Inc

Madhura K., Niyaz Panakaje
2022 International journal of case studies in business, IT, and education  
Paper type: Company case study  ...  The main purpose of this study is to see the marketing strategies adopted by the company as well as the suitability of different types of influencers of the company to the business as a promotional tool  ...  among the users or the people [60]. (6) The more usage of these platforms will lead to the mental health problems like depression and anxiety factors among youths, this problem is not at solved even though  ... 
doi:10.47992/ijcsbe.2581.6942.0168 fatcat:3tw2cdl6r5eyza7422yi5ytbb4

Predicting Mental Health Status on Social Media [chapter]

Bibo Hao, Lin Li, Ang Li, Tingshao Zhu
2013 Lecture Notes in Computer Science  
We collected both users' social media data and mental health data from the most popular Chinses microblog service provider, Sina Weibo.  ...  The rapid development of social media brings about vast user generated content.  ...  Acknowledgments The authors gratefully acknowledges the generous support from National High Technology Research and Development Program of China (2013AA01A606), NSFC (61070115), Institute of Psychology  ... 
doi:10.1007/978-3-642-39137-8_12 fatcat:tid56d3xyjgi3k4nxvonxr7udm

Depression and Coping Styles of College Students in China During COVID-19 Pandemic: A Systemic Review and Meta-Analysis

Shengyu Guo, Atipatsa Chiwanda Kaminga, Jie Xiong
2021 Frontiers in Public Health  
Social media platforms, such as WeChat and Weibo, and mental health APPs could provide an opportunity for psychological health information dissemination for college students.  ...  Besides, the proportion of college students who use WeChat and Weibo to acquire COVID-19 knowledge was 39% (95% CI = 13–68%), whereas the proportion of college students using mental health application  ...  of depression; 2: included information about using new information platforms; 3: information about help seeking.  ... 
doi:10.3389/fpubh.2021.613321 pmid:34307268 pmcid:PMC8292621 fatcat:xp4wtjkpkrh67ejjioqos5753m

Twitter as a Mental Health Support System for Students and Professionals in the Medical Field (Preprint)

Lisa Liu, Benjamin KP Woo
2019 JMIR Medical Education  
In this paper, we explore the current state of mental health in the medical field and suggest practical implementation methods for using Twitter.  ...  Social support has become more essential as society grapples with declining mental health, particularly in the medical sector.  ...  Mental Health Concerns in the Health Profession Mental health is a rising concern for individuals in the health profession.  ... 
doi:10.2196/17598 pmid:33464210 fatcat:yhh45ctbrfdptcfjcpwjcbperm

Depressing-domain Lexicon Based on Microblogs: Automatic Construction (Preprint)

Genghao Li, Bing Li, Langlin Huang, Sibing Hou
2019 JMIR Medical Informatics  
According to a World Health Organization report in 2017, there was almost one patient with depression among every 20 people in China.  ...  The purpose of this study was to propose an effective approach for constructing a depression-domain lexicon.  ...  Development of the School of Information and Technology in the University of International Business and Economics.  ... 
doi:10.2196/17650 pmid:32574151 fatcat:nhu32v6w2zh65lotqicl7refpm

Emotion Detection on Twitter Data using Knowledge Base Approach

Srinivasu Badugu, Matla Suhasini
2017 International Journal of Computer Applications  
Sentiment says whether the tweet is positive or negative but the proposed system gives the deeper information of tweet which has adverse uses in the field of Psychology, Intelligence Bureau, Social and  ...  Emotional states of individuals, also known as moods, are central to the expression of thoughts, ideas and opinions, and in turn impact attitudes and behavior.  ...  In both cases, tweets can convey information about the mood state of their authors.  ... 
doi:10.5120/ijca2017913366 fatcat:wfdb2ijwprb2nbeq63a6pdvxxu

Studying Unemployment Effects on Mental Health: Social Media versus the Traditional Approach

Samara Ahmed, Adil E. Rajput, Akila Sarirete, Asma Aljaberi, Ohoud Alghanem, Abrar Alsheraigi
2020 Sustainability  
Lastly, we could not find enough evidence to study effects on physical health and somatization in this work.  ...  Medical practitioners especially in the area of mental health have traditionally monitored the effects of involuntary unemployment with great interest.  ...  Rajput and Ahmad in [18] make a case for a corpus to assist mental health professionals in detecting depression among users provided some group of people.  ... 
doi:10.3390/su12198130 fatcat:5oez6w72qnbqtksqvpc5bw4xze

Machine Learning Framework for Detection of Psychological Disorders at OSN

The proposed method could help in developing a social network diagnostic tool for stress detection. It is useful in the diagnosis of psychological disorder detection in social platforms.  ...  Propose system a machine learning approach that is detection of psychological disorders in social networks and social interaction features from social network data for detect with precision possible cases  ...  ACKNOWLEDGMENT This work is supported in stress detection due to interaction of social networks. We would like to thanks Department of Computer, MMCOE, for support and encouragement for this project.  ... 
doi:10.35940/ijitee.i8823.0981119 fatcat:jg3e7lvmbfdxfltpkqm2tkscpi

Impacts of the COVID-19 Pandemic on the Bereaved: A Study of Bereaved Weibo Users

Nuo Han, Gewei Chen, Sijia Li, Feng Huang, Xiaoyang Wang, Xiaopeng Ren, Tingshao Zhu
2021 Healthcare  
This study aimed to learn from recent outbreaks of infectious diseases and further understand their impacts on bereavement.  ...  group had higher depression scores than the former group.  ...  In this study, the meaning of 'dynamic features' is a user's daily microblog updates on Weibo [48] .  ... 
doi:10.3390/healthcare9060724 fatcat:wgyi7ovsw5fwhkbtbnbev72pzi
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