Online content on eating disorders: a natural language processing study.

Journal: Journal of communication in healthcare
PMID: 39041376

Abstract

BACKGROUND: Online content can inform the personal risk of developing an eating disorder, and it can influence the time and motivation to seek treatment. Patients routinely seek information online, and access to information is crucial for both prevention and treatment. The primary aim of the current study was to quantify the readability scores of online content on eating disorders using natural language processing algorithms, across two languages: English and Italian.

Authors

  • Livio Tarchi
    Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy.
  • Tommaso Mario Buonocore
    Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, 27100, Italy. Electronic address: buonocore.tms@gmail.com.
  • Giulia Selvi
    Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy.
  • Valdo Ricca
    Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy.
  • Giovanni Castellini
    Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy.

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