Home > Research > Publications & Outputs > Online Discussions About Tinnitus

Electronic data

Links

Text available via DOI:

View graph of relations

Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts?

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts? / Manchaiah, Vinaya; Londero, Alain; Deshpande, Aniruddha K et al.
In: American Journal of Audiology, Vol. 31, No. 3S, 21.09.2022, p. 993-1002.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Manchaiah, V, Londero, A, Deshpande, AK, Revel, M, Palacios, G, Boyd, RL & Ratinaud, P 2022, 'Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts?', American Journal of Audiology, vol. 31, no. 3S, pp. 993-1002. https://doi.org/10.1044/2021_AJA-21-00158

APA

Manchaiah, V., Londero, A., Deshpande, A. K., Revel, M., Palacios, G., Boyd, R. L., & Ratinaud, P. (2022). Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts? American Journal of Audiology, 31(3S), 993-1002. https://doi.org/10.1044/2021_AJA-21-00158

Vancouver

Manchaiah V, Londero A, Deshpande AK, Revel M, Palacios G, Boyd RL et al. Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts? American Journal of Audiology. 2022 Sept 21;31(3S):993-1002. Epub 2022 Feb 7. doi: 10.1044/2021_AJA-21-00158

Author

Manchaiah, Vinaya ; Londero, Alain ; Deshpande, Aniruddha K et al. / Online Discussions About Tinnitus : What Can We Learn From Natural Language Processing of Reddit Posts?. In: American Journal of Audiology. 2022 ; Vol. 31, No. 3S. pp. 993-1002.

Bibtex

@article{c1210798383c4abc987a5b5b2bb9bb76,
title = "Online Discussions About Tinnitus: What Can We Learn From Natural Language Processing of Reddit Posts?",
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).",
author = "Vinaya Manchaiah and Alain Londero and Deshpande, {Aniruddha K} and Manon Revel and Guillaume Palacios and Boyd, {Ryan L} and Pierre Ratinaud",
year = "2022",
month = sep,
day = "21",
doi = "10.1044/2021_AJA-21-00158",
language = "English",
volume = "31",
pages = "993--1002",
journal = "American Journal of Audiology",
issn = "1059-0889",
publisher = "American Speech-Language-Hearing Association (ASHA)",
number = "3S",

}

RIS

TY - JOUR

T1 - Online Discussions About Tinnitus

T2 - What Can We Learn From Natural Language Processing of Reddit Posts?

AU - Manchaiah, Vinaya

AU - Londero, Alain

AU - Deshpande, Aniruddha K

AU - Revel, Manon

AU - Palacios, Guillaume

AU - Boyd, Ryan L

AU - Ratinaud, Pierre

PY - 2022/9/21

Y1 - 2022/9/21

N2 - 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).

AB - 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).

U2 - 10.1044/2021_AJA-21-00158

DO - 10.1044/2021_AJA-21-00158

M3 - Journal article

C2 - 35130042

VL - 31

SP - 993

EP - 1002

JO - American Journal of Audiology

JF - American Journal of Audiology

SN - 1059-0889

IS - 3S

ER -