Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences.

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Title: Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences.
Authors: Rasoli Jokar, Amir Hossein1 Rasoliam@msu.edu, Salehi, Sadaf2, Yaruss, J. Scott1
Source: American Journal of Speech-Language Pathology. Jul2025, Vol. 34 Issue 4, p2156-2169. 14p.
Subject Terms: *Occupational roles, *Stuttering, *Attitudes toward disabilities, *Emotions, *Research, *Health education, Social network analysis, Health attitudes, Privacy, Public opinion, Descriptive statistics, Patient advocacy, Thematic analysis, Health care reform, Text messages, Sentiment analysis, Social stigma, Medical ethics
Reviews & Products: Twitter (Web resource)
Abstract: Background and Aims: Social media shapes public perceptions of various topics, including health conditions and communication challenges, such as stuttering. This study analyzed the stuttering-related posts on X (formerly Twitter), a platform chosen for its unique features, including real-time interaction, concise messaging, and public accessibility. X's hashtag system also enables efficient tracking of trends and aggregating relevant posts, making it ideal for thematic and sentiment analysis. This study examined X to explore how stuttering is represented and perceived in top stuttering-related posts. It focused on these posts' themes, sentiments, and engagement patterns, as well as their influence on perceptions of stuttering on the platform. Method: In this exploratory study, data from 153 highly engaged posts containing the hashtag "#stuttering" were analyzed using sentiment analysis, thematic analysis, and network analysis. Posts were selected based on engagement scores calculated from the number of likes, comments, and reposts. Results: The sentiment analysis revealed that 69.93% of posts conveyed positive sentiments, with the majority of these posted by self-identified stuttering advocates, while 6.54% reflected negative sentiments and 23.53% were neutral. Five key themes emerged from the data: (a) celebrating stuttering success, (b) enhancing awareness and education about stuttering, (c) navigating challenges through support, (d) addressing misconceptions and reducing stigma, and (e) systematic advocacy and policy reform. Network analysis reflected the critical role of health care professionals and advocacy organizations in shaping public perceptions. Conclusions: This study highlighted both the supportive and stigmatizing aspects of stuttering representation on X. While prominent figures and organizations drive positive engagement, targeted efforts are still needed to address negative stereotypes. These findings provide insights for future public health communication and advocacy strategies in the stuttering community. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences.
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  Data: <searchLink fieldCode="AR" term="%22Rasoli+Jokar%2C+Amir+Hossein%22">Rasoli Jokar, Amir Hossein</searchLink><relatesTo>1</relatesTo><i> Rasoliam@msu.edu</i><br /><searchLink fieldCode="AR" term="%22Salehi%2C+Sadaf%22">Salehi, Sadaf</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Yaruss%2C+J%2E+Scott%22">Yaruss, J. Scott</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Speech-Language+Pathology%22">American Journal of Speech-Language Pathology</searchLink>. Jul2025, Vol. 34 Issue 4, p2156-2169. 14p.
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  Data: *<searchLink fieldCode="DE" term="%22Occupational+roles%22">Occupational roles</searchLink><br />*<searchLink fieldCode="DE" term="%22Stuttering%22">Stuttering</searchLink><br />*<searchLink fieldCode="DE" term="%22Attitudes+toward+disabilities%22">Attitudes toward disabilities</searchLink><br />*<searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br />*<searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br />*<searchLink fieldCode="DE" term="%22Health+education%22">Health education</searchLink><br /><searchLink fieldCode="DE" term="%22Social+network+analysis%22">Social network analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Health+attitudes%22">Health attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+advocacy%22">Patient advocacy</searchLink><br /><searchLink fieldCode="DE" term="%22Thematic+analysis%22">Thematic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Health+care+reform%22">Health care reform</searchLink><br /><searchLink fieldCode="DE" term="%22Text+messages%22">Text messages</searchLink><br /><searchLink fieldCode="DE" term="%22Sentiment+analysis%22">Sentiment analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Social+stigma%22">Social stigma</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+ethics%22">Medical ethics</searchLink>
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  Data: <searchLink fieldCode="PS" term="%22Twitter+%28Web+resource%29%22">Twitter (Web resource)</searchLink>
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  Data: Background and Aims: Social media shapes public perceptions of various topics, including health conditions and communication challenges, such as stuttering. This study analyzed the stuttering-related posts on X (formerly Twitter), a platform chosen for its unique features, including real-time interaction, concise messaging, and public accessibility. X's hashtag system also enables efficient tracking of trends and aggregating relevant posts, making it ideal for thematic and sentiment analysis. This study examined X to explore how stuttering is represented and perceived in top stuttering-related posts. It focused on these posts' themes, sentiments, and engagement patterns, as well as their influence on perceptions of stuttering on the platform. Method: In this exploratory study, data from 153 highly engaged posts containing the hashtag "#stuttering" were analyzed using sentiment analysis, thematic analysis, and network analysis. Posts were selected based on engagement scores calculated from the number of likes, comments, and reposts. Results: The sentiment analysis revealed that 69.93% of posts conveyed positive sentiments, with the majority of these posted by self-identified stuttering advocates, while 6.54% reflected negative sentiments and 23.53% were neutral. Five key themes emerged from the data: (a) celebrating stuttering success, (b) enhancing awareness and education about stuttering, (c) navigating challenges through support, (d) addressing misconceptions and reducing stigma, and (e) systematic advocacy and policy reform. Network analysis reflected the critical role of health care professionals and advocacy organizations in shaping public perceptions. Conclusions: This study highlighted both the supportive and stigmatizing aspects of stuttering representation on X. While prominent figures and organizations drive positive engagement, targeted efforts are still needed to address negative stereotypes. These findings provide insights for future public health communication and advocacy strategies in the stuttering community. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1044/2025_AJSLP-24-00375
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Occupational roles
        Type: general
      – SubjectFull: Stuttering
        Type: general
      – SubjectFull: Attitudes toward disabilities
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      – SubjectFull: Emotions
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      – SubjectFull: Health education
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      – SubjectFull: Social network analysis
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      – SubjectFull: Health attitudes
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      – SubjectFull: Text messages
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      – SubjectFull: Sentiment analysis
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      – SubjectFull: Social stigma
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      – SubjectFull: Medical ethics
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      – SubjectFull: Twitter (Web resource)
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      – TitleFull: Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences.
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              Text: Jul2025
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