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

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.

Authors

Institutions

Publication Details

Journal
American Journal of Speech-Language Pathology
Published
2025-05-02
DOI
https://doi.org/10.1044/2025_ajslp-24-00375
Citations
1
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

J. Scott Yaruss, Hamid Karimi, Amir Hossein Rasoli Jokar
1 citations
American Journal of Speech-Language Pathology
Sentiment Analysis and Opinion Mining
2.48
article

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

J. Scott Yaruss, Hamid Karimi, Amir Hossein Rasoli Jokar
article en
1 citations

Abstract

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.

American Journal of Speech-Language PathologyVol. 34(4)
Charles Darwin University (AU), Michigan State University (US)
Openalex Percentile: Top 11%
Sentiment Analysis and Opinion Mining
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.