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Understanding Communication in an Online Cancer Forum: Content Analysis Study
BACKGROUND: Cancer affects individuals, their family members, and friends, and increasingly, some of these individuals are turning to online cancer forums to express their thoughts/feelings and seek support such as asking cancer-related questions. The thoughts/feelings expressed and the support need...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456325/ https://www.ncbi.nlm.nih.gov/pubmed/34491209 http://dx.doi.org/10.2196/29555 |
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author | Andy, Anietie Andy, Uduak |
author_facet | Andy, Anietie Andy, Uduak |
author_sort | Andy, Anietie |
collection | PubMed |
description | BACKGROUND: Cancer affects individuals, their family members, and friends, and increasingly, some of these individuals are turning to online cancer forums to express their thoughts/feelings and seek support such as asking cancer-related questions. The thoughts/feelings expressed and the support needed from these online forums may differ depending on if (1) an individual has or had cancer or (2) an individual is a family member or friend of an individual who has or had cancer; the language used in posts in these forums may reflect these differences. OBJECTIVE: Using natural language processing methods, we aim to determine the differences in the support needs and concerns expressed in posts published on an online cancer forum by (1) users who self-declare to have or had cancer compared with (2) users who self-declare to be family members or friends of individuals with or that had cancer. METHODS: Using latent Dirichlet allocation (LDA), which is a natural language processing algorithm and Linguistic Inquiry and Word Count (LIWC), a psycholinguistic dictionary, we analyzed posts published on an online cancer forum with the aim to delineate the language features associated with users in these different groups. RESULTS: Users who self-declare to have or had cancer were more likely to post about LDA topics related to hospital visits (Cohen d=0.671) and use words associated with LIWC categories related to health (Cohen d=0.635) and anxiety (Cohen d=0.126). By contrast, users who declared to be family members or friends tend to post about LDA topics related to losing a family member (Cohen d=0.702) and LIWC categories focusing on the past (Cohen d=0.465) and death (Cohen d=0.181) were more associated with these users. CONCLUSIONS: Using LDA and LIWC, we show that there are differences in the support needs and concerns expressed in posts published on an online cancer forum by users with cancer compared with family members or friends of those with cancer. Hence, responders to online cancer forums need to be cognizant of these differences in support needs and concerns and tailor their responses based on these findings. |
format | Online Article Text |
id | pubmed-8456325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-84563252021-10-18 Understanding Communication in an Online Cancer Forum: Content Analysis Study Andy, Anietie Andy, Uduak JMIR Cancer Original Paper BACKGROUND: Cancer affects individuals, their family members, and friends, and increasingly, some of these individuals are turning to online cancer forums to express their thoughts/feelings and seek support such as asking cancer-related questions. The thoughts/feelings expressed and the support needed from these online forums may differ depending on if (1) an individual has or had cancer or (2) an individual is a family member or friend of an individual who has or had cancer; the language used in posts in these forums may reflect these differences. OBJECTIVE: Using natural language processing methods, we aim to determine the differences in the support needs and concerns expressed in posts published on an online cancer forum by (1) users who self-declare to have or had cancer compared with (2) users who self-declare to be family members or friends of individuals with or that had cancer. METHODS: Using latent Dirichlet allocation (LDA), which is a natural language processing algorithm and Linguistic Inquiry and Word Count (LIWC), a psycholinguistic dictionary, we analyzed posts published on an online cancer forum with the aim to delineate the language features associated with users in these different groups. RESULTS: Users who self-declare to have or had cancer were more likely to post about LDA topics related to hospital visits (Cohen d=0.671) and use words associated with LIWC categories related to health (Cohen d=0.635) and anxiety (Cohen d=0.126). By contrast, users who declared to be family members or friends tend to post about LDA topics related to losing a family member (Cohen d=0.702) and LIWC categories focusing on the past (Cohen d=0.465) and death (Cohen d=0.181) were more associated with these users. CONCLUSIONS: Using LDA and LIWC, we show that there are differences in the support needs and concerns expressed in posts published on an online cancer forum by users with cancer compared with family members or friends of those with cancer. Hence, responders to online cancer forums need to be cognizant of these differences in support needs and concerns and tailor their responses based on these findings. JMIR Publications 2021-09-07 /pmc/articles/PMC8456325/ /pubmed/34491209 http://dx.doi.org/10.2196/29555 Text en ©Anietie Andy, Uduak Andy. Originally published in JMIR Cancer (https://cancer.jmir.org), 07.09.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Andy, Anietie Andy, Uduak Understanding Communication in an Online Cancer Forum: Content Analysis Study |
title | Understanding Communication in an Online Cancer Forum: Content Analysis Study |
title_full | Understanding Communication in an Online Cancer Forum: Content Analysis Study |
title_fullStr | Understanding Communication in an Online Cancer Forum: Content Analysis Study |
title_full_unstemmed | Understanding Communication in an Online Cancer Forum: Content Analysis Study |
title_short | Understanding Communication in an Online Cancer Forum: Content Analysis Study |
title_sort | understanding communication in an online cancer forum: content analysis study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456325/ https://www.ncbi.nlm.nih.gov/pubmed/34491209 http://dx.doi.org/10.2196/29555 |
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