The purpose of this study was to explore the portrayal of stuttering on YouTube and gage the popularity and tone of the user-generated comments. Sixty-four percent of the videos were classified as “poor” to “very poor” clinical examples of stuttering behaviors and 52% were classified as “poor” to “very poor” clinical examples of stuttering content. User-generated comments were characterized more often as negative (28%) than positive (12%) with 34% of the comments being neutral. The authors concluded that the low diagnostic reliability scores and proportion of negative user generated comments suggest that clinicians should remain cautious in using YouTube for clinical purposes related to stuttering.
Donaher, Joseph & Minkoff, Christina. (2014). The Portrayal of Stuttering on YouTube. SIG 4 Perspectives on Fluency and Fluency Disorders, 2014, 24, 20-25.