Text Analytics of Vaccine Myths on Reddit-Reference-Cited by-同舟云学术

Text Analytics of Vaccine Myths on Reddit

Published:2022-12-30 Issue: Volume: Page:277-301
ISSN:2327-0411
Container-title:Advances in Computational Intelligence and Robotics
language:
Short-container-title:

Author:

Shiau Ching Wong Sylvia¹,Tan Jing-Ru¹,Gan Keng Hoon¹,Tan Tien Ping¹

Affiliation:

1. School of Computer Sciences, Universiti Sains Malaysia, Malaysia

Abstract

Widespread online misinformation that aims to convince vaccine-hesitant populations continues to threaten healthcare systems globally. Assessing features of online content including topics and sentiments against vaccines could help curb the spread of vaccine-related misinformation and allow stakeholders to draft better regulations and public policies. Using a public dataset extracted from Reddit, the authors performed text analytics including sentiment analysis, N-gram, and topic modeling to grasp the sentiments, the most popular phrases (N-grams), and topics of the subreddit. The sentiment analysis results revealed mostly positive sentiments in the subreddit's discussions. The N-gram analysis identified “cause autism” and “MMR cause autism” as the most frequent bigram and trigram. The NMF topic modeling results revealed five topics discussing different aspects of vaccines. These findings implied the significance of the ability to assess public confidence and sentiment from social media platforms to enable effective responses against the proliferation of vaccine misinformation.

Publisher

IGI Global

Reference33 articles.

1. Blood-brain barrier and vaccines. (n.d.). Retrieved February 6, 2022, from https://www.chop.edu/centers-programs/vaccine-education-center/vaccine-safety/blood-brain-barrier-and-vaccines

2. Center for Biologics Evaluation and Research. (2021, January 27). Vaccine Adverse Events. U.S. Food and Drug Administration. Retrieved February 6, 2022, from https://www.fda.gov/vaccines-blood-biologics/report-problem-center-biologics-evaluation-research/vaccine-adverse-events

3. Center for Drug Evaluation and Research. (2018, June 4). Questions and Answers on FDA's Adverse Event Reporting System (FAERS). U.S. Food and Drug Administration. Retrieved February 6, 2022, from https://www.fda.gov/drugs/surveillance/questions-and-answers-fdas-adverse-event-reporting-system-faers

4. Deer, B. (2011, January 5). How the case against the MMR vaccine was fixed. BMJ, 342(1), c5347–c5347. doi: 10.1136/bmj.c5347

5. Fahad, A. H. (2021, December 30). Sentiment Analysis — Let TextBlob do all the Work! - Red Buffer. Medium. Retrieved February 6, 2022, from https://medium.com/red-buffer/sentiment-analysis-let-textblob-do-all-the-work-9927d803d137