Evidence map›Paper›PMID 30994468›Full record

ArticleJMIR cancer2019

Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach.

Suzan Verberne, Anika Batenburg, Remco Sanders, Mies van Eenbergen, Enny Das, Mattijs S Lambooij

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Article in JMIR cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
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16 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Suzan VerberneLeiden Institute of Advanced Computer Science, Leiden University, Leiden, Netherlands.ORCID http://orcid.org/0000-0002-9609-9505
Anika BatenburgCentre for Language Studies, Radboud University, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0001-5197-6423
Remco SandersAmsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0003-3914-3028
Mies van EenbergenDepartment of Research, Netherlands Comprehensive Cancer Organization, Utrecht, Netherlands.ORCID http://orcid.org/0000-0001-6731-3296
Enny DasCentre for Language Studies, Radboud University, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0002-0367-6757
Mattijs S LambooijDepartment of Health Services Research and Health Economics, National Institute of Public Health and the Environment, Bilthoven, Netherlands.ORCID http://orcid.org/0000-0002-1965-3568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeer-to-peer online support groups and the discussion forums in these groups can help patients by providing opportunities for increasing their empowerment. Most previous research on online empowerment and online social support uses qualitative methods or questionnaires to gain insight into the dynamics of online empowerment processes.

objectiveThe overall goal of this study was to analyze the presence of the empowerment processes in the online peer-to-peer communication of people affected by cancer, using text mining techniques. Use of these relatively new methods enables us to study social processes such as empowerment on a large scale and with unsolicited data.

methodsThe sample consisted of 5534 messages in 1708 threads, written by 2071 users of a forum for cancer patients and their relatives. We labeled the posts in our sample with 2 types of labels: labels referring to empowerment processes and labels denoting psychological processes. The latter were identified using the Linguistic Inquiry and Word Count (LIWC) method. Both groups of labels were automatically assigned to posts. Automatic labeling of the empowerment processes was done by text classifiers trained on a manually labeled subsample. For the automatic labeling of the LIWC categories, we used the Dutch version of the LIWC consisting of a total of 66 word categories that are assigned to text based on occurrences of words in the text. After the automatic labeling with both types of labels, we investigated (1) the relationship between empowerment processes and the intensity of online participation, (2) the relationship between empowerment processes and the LIWC categories, and (3) the differences between patients with different types of cancer.

resultsThe precision of the automatic labeling was 85.6%, which we considered to be sufficient for automatically labeling the complete corpus and doing further analyses on the labeled data. Overall, 62.94% (3482/5532) of the messages contained a narrative, 23.83% (1318/5532) a question, and 27.49% (1521/5532) informational support. Emotional support and references to external sources were less frequent. Users with more posts more often referred to an external source and more often provided informational support and emotional support (Kendall τ>0.2; P<.001) and less often shared narratives (Kendall τ=-0.297; P<.001). A number of LIWC categories are significant predictors for the empowerment processes: words expressing assent (ok and yes) and emotional processes (expressions of feelings) are significant positive predictors for emotional support (P=.002). The differences between patients with different types of cancer are small.

conclusionsEmpowerment processes are associated with the intensity of online use. The relationship between linguistic analyses and empowerment processes indicates that empowerment processes can be identified from the occurrences of specific linguistic cues denoting psychological processes.

Indexed as

cancerempowermenthealth communicationmachine learningonline social networkingtext mining

Identifiers

PMID30994468
PMCPMC6492063

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.