Cancer Through the Lens of Social Media: An Examination of Cancer-Related Content on Reddit

Rao, Shreeya Sudhesh; Vibha,; Shitij,; Kamath, Giridhar B; Rao, Suchetha

doi:10.1007/978-981-19-5331-6_35

Cited by 2 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The public commonly shares their opinions, concerns, symptoms, treatments, and adverse reactions to medications on social media such as Twitter [7][8] and Facebook and news aggregators such as Reddit [9] [10]. These highly invaluable data contain trends, and latent themes that may be significantly important to aid public policymakers and governments in prioritizing their strategies to help combat the outbreaks [11][12] [13]. To the best of the authors' knowledge, very few early studies reported in the public health literature analyze public discourse and sentiment towards growing measles outbreak [14] [15].…”

Section: Introductionmentioning

confidence: 99%

We chased COVID-19; Did we forget Measles? - A machine learning approach to public discourse and sentiment analysis on spiking Measles cases

Anoop

2023

Preprint

View full text Add to dashboard Cite

Objectives: This study employs text mining and natural language processing approaches for analyzing and unearthing public discourse and sentiment towards the recent spiking Measles outbreaks reported across the globe. Study design: A detailed qualitative study was designed using text mining and natural language processing on the user-generated comments from Reddit, a social news aggregation and discussion website. Methods: A detailed analysis was conducted using topic modeling and sentiment analysis on Reddit comments (n=87203) posted between October 1 and December 15, 2022. Topic modeling was used to leverage major themes related to the Measles health emergency and public discourse; the sentiment analysis was performed to check how the general public responded to different aspects of the outbreak. Results: Our results revealed several intriguing and helpful themes, including parental concerns, anti-vaxxer discussions, and measles symptoms from the user-generated content. The results further confirm that even though there have been administrative interventions to promote vaccinations that affirm the parents' concerns to a greater extent, the anti-vaccination or vaccine hesitancy prevalent in the general public reduces the effect of such intercessions. Conclusions: A proactive analysis of public discourse and sentiments during health emergencies and disease outbreaks is vital. This study effectively explored public perceptions and sentiments to assist health policy researchers and stakeholders in making informed and data-driven decisions.}

show abstract