Online discussions about tinnitus : what can we learn from natural language processing of Reddit posts?

dc.contributor.authorManchaiah, Vinaya
dc.contributor.authorLondero, Alain
dc.contributor.authorDeshpande, Aniruddha K.
dc.contributor.authorRevel, Manon
dc.contributor.authorPalacios, Guillaume
dc.contributor.authorBoyd, Ryan
dc.contributor.authorRatinaud, Pierre
dc.date.accessioned2023-05-29T11:34:54Z
dc.date.available2023-05-29T11:34:54Z
dc.date.issued2022-09
dc.descriptionDATA AVAILABITY STATEMENT : The data that support the findings of this study are not public but are available from the corresponding author (V.M.) upon reasonable request.en_US
dc.description.abstractBACKGROUND : This study was aimed at identifying key topics in online discussions about tinnitus by examining a large data set extracted from Reddit social media using a natural language processing technique. METHOD : A corpus of 113,215 posts about tinnitus was extracted from Reddit's application programming interface. After cleaning the data for duplications and posts without any text information, the sample was reduced to 101,905 posts, which was subjected to cluster analysis using the open-source IRaMuTeQ software to identify main topics based on the co-occurrence of texts. These clusters were named by a panel of tinnitus experts (n = 9) by reading typical text segments within each cluster. RESULTS : The cluster analysis identified 16 unique clusters that belong to two topics, which were named “tinnitus causes and consequences” and “tinnitus management and coping.” Based on their characteristics, the clusters were named: tinnitus timeline (10%), tinnitus perception (9.7%), medical triggers and modulators (8.8%), hearing research (8.8%), attention and silence (8.6%), social media posts about tinnitus (7.4%), hearing protection (7.3%), interaction with hearing health care providers (6.7%), mental health and coping (5.8%), music listening (5.7%), hope for a cure (5.6%), interactions with people without tinnitus (5.4%), dietary supplements and alternative therapies (3.2%), sleep (3.9%), dietary effects (1.7%), and writing about tinnitus and being thankful to online community (1.4%). CONCLUSIONS : Despite some limitations, tinnitus posts on Reddit provide rich real-world data to identify various issues and complaints that tinnitus patients and their significant others discuss in online communities. Some of the clusters identified here are novel (e.g., tinnitus timeline, interactions with people without tinnitus) and have not been much discussed in the tinnitus literature. The results suggest that individuals with tinnitus relay on social media for support and highlight the service delivery needs in providing social support through other means (e.g., support groups).en_US
dc.description.departmentSpeech-Language Pathology and Audiologyen_US
dc.description.librarianhj2023en_US
dc.description.urihttps://pubs.asha.org/journal/ajaen_US
dc.identifier.citationManchaiah, V., Londero, A., Deshpande, A.K., et al. 2022, 'Online discussions about tinnitus: what can we learn from natural language processing of Reddit posts?', American Journal of Audiology, vol. 31, no. 3, pp. 993-1002, doi : 10.1044/2021_AJA-21-00158.en_US
dc.identifier.issn1059-0889 (print)
dc.identifier.issn1558-9137 (online)
dc.identifier.other10.1044/2021_AJA-21-00158
dc.identifier.urihttp://hdl.handle.net/2263/90961
dc.language.isoenen_US
dc.publisherAmerican Speech-Language-Hearing Associationen_US
dc.rights© 2022 American Speech-Language-Hearing Associationen_US
dc.subjectTinnitusen_US
dc.subjectNatural language processingen_US
dc.subjectText miningen_US
dc.subjectTopic modellingen_US
dc.subjectComputational predictive medicineen_US
dc.titleOnline discussions about tinnitus : what can we learn from natural language processing of Reddit posts?en_US
dc.typePostprint Articleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Manchaiah_Online_2022.pdf
Size:
1.16 MB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: