“My ADHD hellbrain”: A Twitter data science perspective on a behavioural disorder
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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.
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-2021-0007
PublisherDe Gruyter Open
JournalJournal of Data and Information Science
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-2021-0007
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/