<p>This Letter comments on the study by Rahman et al., which investigates the psychological and emotional impact of aesthetic enhancements as reflected in social media sentiment. The analysis highlights the dual role of social platforms in both enhancing self-esteem and reinforcing harmful beauty standards. By employing machine learning models to analyze age, gender, seasonal, and geographical differences, the study offers valuable insights for clinicians and mental health professionals. Further integration of qualitative approaches and translation of algorithmic findings into practical interventions are recommended to support healthier aesthetic ideals in the digital era.</p><p><i>Level of Evidence V</i>&#xa0;This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors <a href="http://www.springer.com/00266">www.springer.com/00266</a>.</p>

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Letter on “From Posts to Perceptions: Sentiment and Psychological Analysis of Aesthetic Enhancements on Social Media”

  • Jingjing Huang,
  • Jia Guo

摘要

This Letter comments on the study by Rahman et al., which investigates the psychological and emotional impact of aesthetic enhancements as reflected in social media sentiment. The analysis highlights the dual role of social platforms in both enhancing self-esteem and reinforcing harmful beauty standards. By employing machine learning models to analyze age, gender, seasonal, and geographical differences, the study offers valuable insights for clinicians and mental health professionals. Further integration of qualitative approaches and translation of algorithmic findings into practical interventions are recommended to support healthier aesthetic ideals in the digital era.

Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.