Understanding Communication in an Online Cancer Forum: Content Analysis Study

Anietie Andy; Uduak Andy

doi:10.2196/29555

Understanding Communication in an Online Cancer Forum: Content Analysis Study

JMIR Cancer. 2021 Sep 7;7(3):e29555. doi: 10.2196/29555.

Authors

Anietie Andy¹, Uduak Andy²

Affiliations

¹ Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States.
² Division of Urogynecology and Pelvic Reconstructive Surgery, Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.

PMID: 34491209
PMCID: PMC8456325
DOI: 10.2196/29555

Abstract

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.

Keywords: Cancer; Linguistic Inquiry and Word Count; Reddit; latent Dirichlet allocation; natural language processing; online forum; psycholinguistics; social media.