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. |
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| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 186535587 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences. – Name: Author Label: Authors Group: Au 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> – Name: TitleSource Label: Source Group: Src 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. – Name: Subject Label: Subject Terms Group: Su 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> – Name: SubjectProduct Label: Reviews & Products Group: Su Data: <searchLink fieldCode="PS" term="%22Twitter+%28Web+resource%29%22">Twitter (Web resource)</searchLink> – Name: Abstract Label: Abstract Group: Ab 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 Label: Group: Ab 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=186535587 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2025_AJSLP-24-00375 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2156 Subjects: – SubjectFull: Occupational roles Type: general – SubjectFull: Stuttering Type: general – SubjectFull: Attitudes toward disabilities Type: general – SubjectFull: Emotions Type: general – SubjectFull: Research Type: general – SubjectFull: Health education Type: general – SubjectFull: Social network analysis Type: general – SubjectFull: Health attitudes Type: general – SubjectFull: Privacy Type: general – SubjectFull: Public opinion Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Patient advocacy Type: general – SubjectFull: Thematic analysis Type: general – SubjectFull: Health care reform Type: general – SubjectFull: Text messages Type: general – SubjectFull: Sentiment analysis Type: general – SubjectFull: Social stigma Type: general – SubjectFull: Medical ethics Type: general – SubjectFull: Twitter (Web resource) Type: general Titles: – TitleFull: Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rasoli Jokar, Amir Hossein – PersonEntity: Name: NameFull: Salehi, Sadaf – PersonEntity: Name: NameFull: Yaruss, J. Scott IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10580360 Numbering: – Type: volume Value: 34 – Type: issue Value: 4 Titles: – TitleFull: American Journal of Speech-Language Pathology Type: main |
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