This paper is in the following e-collection/theme issue:

Breast Cancer (290) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infodemiology and Infoveillance (1558) Anxiety and Stress Disorders (1327) Emotional, Social, Psychological Support for Cancer (250) Natural Language Processing (917)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52551, first published .
Identifying Factors Associated With Heightened Anxiety During Breast Cancer Diagnosis Through the Analysis of Social Media Data on Reddit: Mixed Methods Study

Identifying Factors Associated With Heightened Anxiety During Breast Cancer Diagnosis Through the Analysis of Social Media Data on Reddit: Mixed Methods Study

Identifying Factors Associated With Heightened Anxiety During Breast Cancer Diagnosis Through the Analysis of Social Media Data on Reddit: Mixed Methods Study

Authors of this article:

Joni Pierce1 Author Orcid Image ;   Mike Conway2 Author Orcid Image ;   Kathryn Grace3 Author Orcid Image ;   Jude Mikal4 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics Author Video

Journals

  1. Jiang J, Agarwal T, Higgins M, Roy M, Adams M, Leslie S, Baurle E, Rojas K, Tevis S. Identifying resource needs of patients with breast cancer by examining alignment of Reddit post content with BREAST-Q domains. The American Journal of Surgery 2025;247:116486 View
  2. Benson R, Kenny C, Ashraf Ganjouei A, Zhao M, Darawsheh R, Qian A, Hong J. Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research. JCO Clinical Cancer Informatics 2025;(9) View