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

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dc.contributor.author Manchaiah, Vinaya
dc.contributor.author Londero, Alain
dc.contributor.author Deshpande, Aniruddha K.
dc.contributor.author Revel, Manon
dc.contributor.author Palacios, Guillaume
dc.contributor.author Boyd, Ryan
dc.contributor.author Ratinaud, Pierre
dc.date.accessioned 2023-05-29T11:34:54Z
dc.date.available 2023-05-29T11:34:54Z
dc.date.issued 2022-09
dc.description DATA 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.abstract BACKGROUND : 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.department Speech-Language Pathology and Audiology en_US
dc.description.librarian hj2023 en_US
dc.description.uri https://pubs.asha.org/journal/aja en_US
dc.identifier.citation Manchaiah, 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.issn 1059-0889 (print)
dc.identifier.issn 1558-9137 (online)
dc.identifier.other 10.1044/2021_AJA-21-00158
dc.identifier.uri http://hdl.handle.net/2263/90961
dc.language.iso en en_US
dc.publisher American Speech-Language-Hearing Association en_US
dc.rights © 2022 American Speech-Language-Hearing Association en_US
dc.subject Tinnitus en_US
dc.subject Natural language processing en_US
dc.subject Text mining en_US
dc.subject Topic modelling en_US
dc.subject Computational predictive medicine en_US
dc.title Online discussions about tinnitus : what can we learn from natural language processing of Reddit posts? en_US
dc.type Postprint Article en_US


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