@inbook{1d0c68c69689408ca94067434ba57e12,
title = "Semantic Network Analysis of COVID-19 Vaccine Related Text from Reddit",
abstract = "Vaccinations are critical and effective in resolving the current pandemic. With the highly transmissible and deadly SARS-CoV-2 virus (COVID-19), a delay in acceptance, or refusal of vaccines despite the availability of vaccine services poses a significant public health threat. Moreover, vaccine-related hesitancy, mis/disinformation, and anti-vaccination discourse are hindering the rapid uptake of the COVID-19 vaccine. It is urgent to examine how anti-vaccine sentiment and behavior spread online to influence vaccine acceptance. Therefore, this study aimed to investigate the COVID-19 vaccine hesitancy diffusion networks in an online Reddit community within the initial phase of the COVID-19 pandemic. We also sought to assess the anti-vaccine discourse evolution in language content and style. Overall, our study findings could help facilitate and promote efficient messaging strategies/campaigns to improve vaccination rates.",
keywords = "COVID-19 vaccines, Misinformation, Online social media, Reddit, Semantic network analysis",
author = "Melton, \{Chad A.\} and Jintae Bae and Olusanya, \{Olufunto A.\} and Brenas, \{Jon Hael\} and Shin, \{Eun Kyong\} and Arash Shaban-Nejad",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2023",
doi = "10.1007/978-3-031-14771-5\_18",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "257--266",
booktitle = "Studies in Computational Intelligence",
}