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Area of Science:

  • Social Media Analysis
  • Public Health
  • Pharmacovigilance

Background:

  • Social media significantly shapes health perceptions and behaviors.
  • X (formerly Twitter) offers insights into public discourse on treatments.
  • Understanding online conversations is crucial for healthcare professionals.

Purpose of the Study:

  • Identify ADHD medication types and popularity on X by language and user.
  • Analyze temporal trends in ADHD medication mentions (2006-2022).
  • Examine tweet content categories and user participation differences.

Main Methods:

  • Observational study of 254,952 English and Spanish tweets on ADHD medications (2006-2022).
  • Machine learning (BERTWEET, BETO) for tweet classification.
  • Content analysis with inductive/deductive approaches.

Main Results:

  • Stimulant ADHD medications were more frequent and engaging than non-stimulants.
  • Methylphenidate, dextroamphetamine, and atomoxetine were most mentioned.
  • English tweets had more mentions of inappropriate use and medication offers/requests.

Conclusions:

  • ADHD medication discussions on X reveal concerns about misuse, adherence, and trivialization.
  • Significant differences exist between English and Spanish tweet content and user engagement.
  • Social media monitoring can inform public health strategies for responsible medication use.