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dc.contributor.authorThelwall, Michael
dc.contributor.authorMakita, Meiko
dc.contributor.authorMas-Bleda, Amalia
dc.contributor.authorStuart, Emma
dc.date.accessioned2020-12-14T11:41:17Z
dc.date.available2020-12-14T11:41:17Z
dc.date.issued2020-12-08
dc.identifier.citationThelwall, M., Makita, M., Mas-Bleda, A. and Stuart, E. (2021) “My ADHD hellbrain”: A Twitter data science perspective on a behavioural disorder, Journal of Data and Information Science, 6(1), pp. 13-34. https://doi.org/10.2478/jdis-2021-0007en
dc.identifier.issn2543-683Xen
dc.identifier.doi10.2478/jdis-2021-0007en
dc.identifier.urihttp://hdl.handle.net/2436/623814
dc.description© 2020 The Authors. Published by De Gruyter. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.2478/jdis-2021-0007en
dc.description.abstractPurpose: Attention deficit hyperactivity disorder (ADHD) is a common behavioural condition. This article introduces a new data science method, word association thematic analysis, to investigate whether ADHD tweets can give insights into patient concerns and online communication needs. Design/methodology/approach: Tweets matching “my ADHD” (n=58,893) and 99 other conditions (n=1,341,442) were gathered and two thematic analyses conducted. Analysis 1: A standard thematic analysis of ADHD-related tweets. Analysis 2: A word association thematic analysis of themes unique to ADHD. Findings: The themes that emerged from the two analyses included people ascribing their brains agency to explain and justify their symptoms and using the concept of neurodivergence for a positive self-image. Research limitations: This is a single case study and the results may differ for other topics. Practical implications: Health professionals should be sensitive to patients’ needs to understand their behaviour, find ways to justify and explain it to others and to be positive about their condition. Originality/value: Word association thematic analysis can give new insights into the (self reported) patient perspective.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherDe Gruyter Openen
dc.subjectADHDen
dc.subjectsocial behaviouren
dc.subjectTwitteren
dc.subjectword association thematic analysisen
dc.title“My ADHD hellbrain”: A Twitter data science perspective on a behavioural disorderen
dc.typeJournal articleen
dc.identifier.journalJournal of Data and Information Scienceen
dc.date.updated2020-12-01T09:23:30Z
dc.date.accepted2020-10-23
rioxxterms.funderUniversity of wolverhamptonen
rioxxterms.identifier.projectUOW14122020MTen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2020-12-14en
dc.source.volume6
dc.source.issue1
dc.source.beginpage13
dc.source.endpage34
refterms.dateFCD2020-12-14T11:39:48Z
refterms.versionFCDVoR
refterms.dateFOA2020-12-14T00:00:00Z


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