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Multiple Sclerosis l: Introduction01:19

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Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...
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#MultipleSclerosis: Artificial intelligence-based sentiment and content analysis of Tweets.

Esra Uslu1, Nazmiye Yıldırım2, Emrah Atılgan3

  • 1Department of Psychiatric and Mental Health Nursing, Faculty of Health Sciences, Eskisehir Osmangazi University, Eskisehir, Türkiye.

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This summary is machine-generated.

Twitter users express mixed sentiments about Multiple Sclerosis (MS), sharing positive and negative views. Analysis reveals themes of announcements, information, and personal experiences, with objective content shared more often than subjective experiences.

Keywords:
Multiple sclerosissocial mediatwitter

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Area of Science:

  • Social Media Analysis
  • Neuroscience Communication
  • Public Health Informatics

Background:

  • Understanding public perception of Multiple Sclerosis (MS) is crucial for support and awareness.
  • Twitter serves as a significant platform for public discourse on health conditions.

Purpose of the Study:

  • To analyze English tweets for Multiple Sclerosis (MS) perspectives.
  • To determine sentiment and identify key topics discussed by Twitter users regarding MS.

Main Methods:

  • Utilized AI-based sentiment analysis on 1168 tweets mentioning "multiple sclerosis" or "multiplesclerosis".
  • Conducted content analysis on 17.4% of the collected tweets to identify themes.

Main Results:

  • 44% of tweets expressed positive sentiment, while 22.3% were negative.
  • Identified three main themes: announcement sharing, information sharing, and experience sharing.
  • Objective content (announcements, information) was shared more frequently than subjective content (experiences).

Conclusions:

  • Findings offer insights into supporting positive MS views and managing negative ones on social media.
  • Encouraging the sharing of subjective experiences can enhance understanding and support for individuals with MS.