Accepted for/Published in: JMIR Cancer
Date Submitted: Aug 21, 2023
Open Peer Review Period: Aug 21, 2023 - Sep 5, 2023
Date Accepted: Apr 16, 2024
(closed for review but you can still tweet)
Pediatric cancer communication on Twitter: natural language processing and qualitative content analysis
ABSTRACT
Background:
During the COVID-19 pandemic, Twitter (recently rebranded as “X”) was the most widely used social media platform with over 2 million cancer-related Tweets. The increasing use of social media among patients and family members, providers, and organizations has allowed for novel methods of studying cancer communication.
Objective:
The aim of this study was to examine pediatric cancer-related tweets to capture the experiences of cancer patients and survivors, their caregivers, medical providers, and other stakeholders. We assessed the public sentiment and content of tweets related to pediatric cancer over a time period representative of the COVID-19 pandemic.
Methods:
All English-language tweets related to pediatric cancer posted from December 11th, 2019 to May 7th, 2022 globally were obtained using the Twitter Application Programming Interface (API). Sentiment analyses were computed based on bing, afinn, and nrc lexicons. We conducted a supplemental non-lexicon based sentiment analysis with ChatGPT 3.0 to validate our findings with a random subset of 150 Tweets. We conducted a qualitative content analysis to manually code the content of a random subset of 800 Tweets.
Results:
A total of 161,135 unique Tweets related to pediatric cancer were identified. Sentiment analyses showed that there were more positive words than negative words. Via the bing lexicon, the most common positive words were support, love, amazing, heaven, and happy, and the most common negative words were grief, risk, hard, abuse and miss. Via the nrc lexicon, most tweets were categorized under sentiment types of positive, trust, and joy. Overall positive sentiment was consistent across lexicons, and confirmed with supplemental ChatGPT 3.0 analysis. Percent agreement between raters for qualitative coding was 91%, and the top 10 codes were Awareness, Personal Experiences, Research, Caregiver Experiences, Patient Experiences, Policy & the Law, Treatment, End of Life, Pharmaceuticals & Drugs, and Survivorship. Qualitative content analysis showed that Twitter users commonly used the social media platform to promote public awareness of pediatric cancer and to share personal experiences with pediatric cancer from the perspective of patients/survivors and their caregivers. Twitter was frequently used for health knowledge dissemination of research findings and federal policies that support treatment and affordable medical care.
Conclusions:
Twitter may serve as an effective means for researchers to examine pediatric cancer communication and public sentiment around the globe. Despite the public mental health crisis during the COVID-19 pandemic, overall sentiments of pediatric cancer-related tweets were positive. Content of pediatric cancer tweets focused on health and treatment information, social support, and raising awareness of pediatric cancer.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.