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Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions
- Source :
- Journal of Medical Internet Research
- Publication Year :
- 2021
- Publisher :
- JMIR Publications, 2021.
-
Abstract
- Background The rapid growth of social media as an information channel has made it possible to quickly spread inaccurate or false vaccine information, thus creating obstacles for vaccine promotion. Objective The aim of this study is to develop and evaluate an intelligent automated protocol for identifying and classifying human papillomavirus (HPV) vaccine misinformation on social media using machine learning (ML)–based methods. Methods Reddit posts (from 2007 to 2017, N=28,121) that contained keywords related to HPV vaccination were compiled. A random subset (2200/28,121, 7.82%) was manually labeled for misinformation and served as the gold standard corpus for evaluation. A total of 5 ML-based algorithms, including a support vector machine, logistic regression, extremely randomized trees, a convolutional neural network, and a recurrent neural network designed to identify vaccine misinformation, were evaluated for identification performance. Topic modeling was applied to identify the major categories associated with HPV vaccine misinformation. Results A convolutional neural network model achieved the highest area under the receiver operating characteristic curve of 0.7943. Of the 28,121 Reddit posts, 7207 (25.63%) were classified as vaccine misinformation, with discussions about general safety issues identified as the leading type of misinformed posts (2666/7207, 36.99%). Conclusions ML-based approaches are effective in the identification and classification of HPV vaccine misinformation on Reddit and may be generalizable to other social media platforms. ML-based methods may provide the capacity and utility to meet the challenge involved in intelligent automated monitoring and classification of public health misinformation on social media platforms. The timely identification of vaccine misinformation on the internet is the first step in misinformation correction and vaccine promotion.
- Subjects :
- Topic model
Computer science
social media
Reddit
Health Informatics
Machine learning
computer.software_genre
infodemiology
Infodemiology
Machine Learning
infoveillance
Humans
Social media
Misinformation
Papillomavirus Vaccines
misinformation
HPV vaccine
Original Paper
business.industry
Deep learning
Communication
deep learning
Identification (information)
Infoveillance
The Internet
Artificial intelligence
Public Health
business
computer
Subjects
Details
- Language :
- English
- ISSN :
- 14388871 and 14394456
- Volume :
- 23
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Journal of Medical Internet Research
- Accession number :
- edsair.doi.dedup.....37126b5b07f4bede24d245d3d76cdea2