Childhood Depression: Parents Talk With One Another on the ’Net

Clarke, Juanne N.; Sargent, Cristal

doi:10.1080/15332985.2010.481997

Cited by 4 publications

(4 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was achieved through learning together by reflecting and restructuring new knowledge to suit one’s own needs [ 34 ]. ICTs appeared to be being used for help-seeking through the acquirement of self-help information, the development of skills, and also as a means to seek help through online support groups and forums [ 38 , 40 , 45 , 57 , 58 ]. Sitting down at a computer at regular times working on a self-help programs appeared to be of benefit; people reported experiencing an empowering effect, a change of perspective, increased personal agency, and a way of keeping new learning at the forefront of their minds [ 46 ].…”

Section: Resultsmentioning

confidence: 99%

Exploring the Use of Information and Communication Technology by People With Mood Disorder: A Systematic Review and Metasynthesis

Fulford¹,

McSwiggan²,

Kroll³

et al. 2016

JMIR Ment Health

View full text Add to dashboard Cite

BackgroundThere is a growing body of evidence relating to how information and communication technology (ICT) can be used to support people with physical health conditions. Less is known regarding mental health, and in particular, mood disorder.ObjectiveTo conduct a metasynthesis of all qualitative studies exploring the use of ICTs by people with mood disorder.MethodsSearches were run in eight electronic databases using a systematic search strategy. Qualitative and mixed-method studies published in English between 2007 and 2014 were included. Thematic synthesis was used to interpret and synthesis the results of the included studies.ResultsThirty-four studies were included in the synthesis. The methodological design of the studies was qualitative or mixed-methods. A global assessment of study quality identified 22 studies as strong and 12 weak with most having a typology of findings either at topical or thematic survey levels of data transformation. A typology of ICT use by people with mood disorder was created as a result of synthesis.ConclusionsThe systematic review and metasynthesis clearly identified a gap in the research literature as no studies were identified, which specifically researched how people with mood disorder use mobile ICT. Further qualitative research is recommended to understand the meaning this type of technology holds for people. Such research might provide valuable information on how people use mobile technology in their lives in general and also, more specifically, how they are being used to help with their mood disorders.

show abstract

Section: Resultsmentioning

confidence: 99%

Exploring the Use of Information and Communication Technology by People With Mood Disorder: A Systematic Review and Metasynthesis

Fulford¹,

McSwiggan²,

Kroll³

et al. 2016

JMIR Ment Health

View full text Add to dashboard Cite

show abstract

“…These could be devoted fans of a particular artist or musical genre reflecting members' valued socio-cultural or personality traits (Perkins, 2012;Reysen et al, 2010;Trier-Bieniek, 2012;Williams, 2013). Of particular interest to scholars conducting qualitative studies in the health sciences, some message boards unite people afflicted with specific conditions or disorders (Armstrong et al, 2012;Mahato, 2011;Rodham et al, 2009) or offer community for parents and relatives of the ill (Clarke & Sargent, 2010;Kirby et al, 2008). As in our case, Internet forums and message boards can also bring together individuals searching for a future career in the federal government.…”

Section: Discussionmentioning

confidence: 99%

“…Studies have examined the conversations and dialogues of forum and message board users grappling with mental health issues (Richards, 2009), suicide (Greidanus & Everall, 2010), as well as various illnesses (Armstrong et al, 2012;Mahato, 2011;Rodham et al, 2009), among others. Sometimes these categories merge, as in the case of online support groups for parents of children who are struggling with problems or afflictions (Clarke & Sargent, 2010;Kirby et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Using Forums and Message Boards to Recruit Study Participants in Qualitative Research

Wesolowski

2014

TQR

View full text Add to dashboard Cite

The following observations have emerged from the author’s research experience involving the recruitment of focus group participants for a qualitative study on job search behaviors using technology. It is argued that Internet forums and message boards provide researchers with a robust approach to recruiting participants for qualitative study purposes. Advantages and characteristics of online communities are outlined to inform future practices based on the experience of engaging job-seekers who frequent a career advice board on the Internet. Challenges and limitations inherent to this methodology are also explored with techniques offered for maximizing the effectiveness of future recruitment. Use of Internet forums and message boards as objects of research versus as research tools is distinguished throughout. The paper contributes to a growing body of knowledge about harnessing the Internet to inform and support qualitative research.

show abstract

“…(2) while texts do not contain elaborated views of their authors, they are part of a dynamic discourse happening in real time. Although there has been previous research which examined the framing of depression in online health forums (e.g., Clarke & Sargent, 2010;Lachmar et al, 2017;Pan et al, 2018), to our knowledge this study is the first which applies natural language processing (NLP) techniques for this purpose.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning of Concepts Hard Even for Humans: The Case of Online Depression Forums

Németh

Sík

Máté

2020

International Journal of Qualitative Methods

View full text Add to dashboard Cite

Social scientists of mixed-methods research have traditionally used human annotators to classify texts according to some predefined knowledge. The “big data” revolution, the fast growth of digitized texts in recent years brings new opportunities but also new challenges. In our research project, we aim to examine the potential for natural language processing (NLP) techniques to understand the individual framing of depression in online forums. In this paper, we introduce a part of this project experimenting with NLP classification (supervised machine learning) method, which is capable of classifying large digital corpora according to various discourses on depression. Our question was whether an automated method can be applied to sociological problems outside the scope of hermeneutically more trivial business applications. The present article introduces our learning path from the difficulties of human annotation to the hermeneutic limitations of algorithmic NLP methods. We faced our first failure when we experienced significant inter-annotator disagreement. In response to the failure, we moved to the strategy of intersubjective hermeneutics (interpretation through consensus). The second failure arose because we expected the machine to effectively learn from the human-annotated sample despite its hermeneutic limitations. The machine learning seemed to work appropriately in predicting bio-medical and psychological framing, but it failed in case of sociological framing. These results show that the sociological discourse about depression is not as well founded as the biomedical and the psychological discourses—a conclusion which requires further empirical study in the future. An increasing part of machine learning solution is based on human annotation of semantic interpretation tasks, and such human-machine interactions will probably define many more applications in the future. Our paper shows the hermeneutic limitations of “big data” text analytics in the social sciences, and highlights the need for a better understanding of the use of annotated textual data and the annotation process itself.

show abstract

Childhood Depression: Parents Talk With One Another on the ’Net

Cited by 4 publications

References 34 publications

Exploring the Use of Information and Communication Technology by People With Mood Disorder: A Systematic Review and Metasynthesis

Exploring the Use of Information and Communication Technology by People With Mood Disorder: A Systematic Review and Metasynthesis

Using Forums and Message Boards to Recruit Study Participants in Qualitative Research

Machine Learning of Concepts Hard Even for Humans: The Case of Online Depression Forums

Contact Info

Product

Resources

About