Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study

16 references·3 citing·53 second hop

FromToDepth

this work references cited by second hop

References

2011What Makes Online Content Viral?3,175 cited
2009Uniting the Tribes of Fluency to Form a Metacognitive Nation1,646 cited
2018Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology847 cited
2020Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study774 cited
2016Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity682 cited
2021COVID-19 and vaccine hesitancy: A longitudinal study676 cited
2020Social Media and Emergency Preparedness in Response to Novel Coronavirus424 cited
2021Political polarization on COVID-19 pandemic response in the United States370 cited
2021COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis337 cited
2020Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach288 cited
2021Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study285 cited
2017Semantic network analysis of vaccine sentiment in online social media269 cited
2015Attracting Views and Going Viral: How Message Features and News-Sharing Channels Affect Health News Diffusion201 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2018

Sentiment, Contents, and Retweets: A Study of Two Vaccine-Related Twitter Datasets

160 cited

2013Twitter as a source of vaccination information: Content drivers and what they are saying149 cited

2016Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter121 cited

Cited by

2023Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review30 cited
2022Emotional appeals and social support in organizational YouTube videos during COVID-1921 cited
2024Text-Mining and Video Analytics of COVID-19 Narratives Shared by Patients on YouTube11 cited