“My ADHD Hellbrain”: A Twitter Data Science Perspective on a Behavioural Disorder

• 作者: Mike Thelwall Meiko Makita Amalia Mas-Bleda Emma Stuart
• 来源期刊: 数据与情报科学学报:英文版
• 学科: 医学
• 关键词: ADHD Word association thematic analysis Social behaviour Social web TWITTER
• 年，卷（期）: 2021,（1）
• 页码范围: 13-34
• 页数: 22页
• 分类号: R74

摘要

Purpose: 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.