Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019

被引:89
作者
Piedrahita-Valdes, Hilary [1 ]
Piedrahita-Castillo, Diego [2 ]
Bermejo-Higuera, Javier [2 ]
Guillem-Saiz, Patricia [3 ,4 ]
Ramon Bermejo-Higuera, Juan [2 ]
Guillem-Saiz, Javier [5 ]
Antonio Sicilia-Montalvo, Juan [2 ]
Machio-Regidor, Francisco [2 ]
机构
[1] Univ Valencia, Dept Prevent Med & Publ Hlth Bromatol Toxicol & L, Valencia 46010, Spain
[2] Int Univ La Rioja, Fac Engn & Technol, Logrono 26006, Spain
[3] European Univ Valencia, Dept Prevent Dent Epidemiol & Publ Hlth, Valencia 46010, Spain
[4] Inst Hlth Carlos III, CIBER Physiopathol Obes & Nutr CIBERobn, Madrid 28029, Spain
[5] Int Univ Valencia, Dept Psychol, Valencia 46002, Spain
关键词
vaccine hesitancy; vaccination; opinion mining; sentiment analysis; content analysis; machine learning; social media; Twitter;
D O I
10.3390/vaccines9010028
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the World Health Organisation. Nowadays, social media has an important role in the spread of information, misinformation, and disinformation about vaccines. Monitoring vaccine-related conversations on social media could help us to identify the factors that contribute to vaccine confidence in each historical period and geographical area. We used a hybrid approach to perform an opinion-mining analysis on 1,499,227 vaccine-related tweets published on Twitter from 1st June 2011 to 30th April 2019. Our algorithm classified 69.36% of the tweets as neutral, 21.78% as positive, and 8.86% as negative. The percentage of neutral tweets showed a decreasing tendency, while the proportion of positive and negative tweets increased over time. Peaks in positive tweets were observed every April. The proportion of positive tweets was significantly higher in the middle of the week and decreased during weekends. Negative tweets followed the opposite pattern. Among users with >= 2 tweets, 91.83% had a homogeneous polarised discourse. Positive tweets were more prevalent in Switzerland (71.43%). Negative tweets were most common in the Netherlands (15.53%), Canada (11.32%), Japan (10.74%), and the United States (10.49%). Opinion mining is potentially useful to monitor online vaccine-related concerns and adapt vaccine promotion strategies accordingly.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 50 条
[31]   From Posts to Perceptions: Sentiment and Psychological Analysis of Aesthetic Enhancements on Social Media [J].
Rahman, Eqram ;
Carruthers, Jean D. A. ;
Rao, Parinitha ;
Rahman, Zakia ;
Esfahlani, Shabnam Sadeghi ;
Webb, William Richard .
AESTHETIC PLASTIC SURGERY, 2025, 49 (05) :1478-1494
[32]   New Words Enlightened Sentiment Analysis in Social Media [J].
Cai, Chiyu ;
Li, Linjing ;
Zeng, Daniel .
IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS: CYBERSECURITY AND BIG DATA, 2016, :202-204
[33]   Twitter Sentiment Analysis of the Accounting Profession in Social Media [J].
Zhang Xiyu .
学术界, 2019, (12) :221-234
[34]   Sentiment analysis on social media for stock movement prediction [J].
Thien Hai Nguyen ;
Shirai, Kiyoaki ;
Velcin, Julien .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (24) :9603-9611
[35]   The application of the sentiment analysis technique in social media as a tool for social management practices at the governmental level [J].
Silva Oliveira, Daniel Jose ;
de Souza Bermejo, Paulo Henrique ;
Pereira, Jose Roberto ;
Barbosa, Daniely Aparecida .
REVISTA DE ADMINISTRACAO PUBLICA, 2019, 53 (01) :235-251
[36]   SENTIMENT ANALYSIS OF THE INFOGRAPHICS ON SOCIAL MEDIA [J].
Bratic, Diana ;
Palic, Mirko ;
Miljkovic, Petar .
PROCEEDINGS OF FEB ZAGREB 12TH INTERNATIONAL ODYSSEY CONFERENCE ON ECONOMICS AND BUSINESS, 2021, 2021, 3 :1072-1081
[37]   COVID-19 VACCINE HESITANCY AND SOCIAL MEDIA USE: A LESSON LEARNT FROM PANDEMIC [J].
Tran, Binh Thang ;
Nguyen, Thi Dang Thu ;
Duc, Vo Nu Hong ;
Dang, Cao Khoa ;
Tran, Thi Thanh Nhan ;
Nguyen, Duc Dan ;
Nguyen, Hong Tram ;
Ho, Minh Duy ;
Le, Thi Bich Thuy ;
Tran, Van Vui ;
Nguyen, Van Hung .
ASIA PACIFIC JOURNAL OF HEALTH MANAGEMENT, 2024, 19 (01)
[38]   Survey on Target Dependent Sentiment Analysis of Micro-Blogs in Social Media [J].
Abudalfa, Shadi ;
Ahmed, Moataz .
2017 9TH IEEE-GCC CONFERENCE AND EXHIBITION (GCCCE), 2018, :155-160
[39]   Social media use and vaccine hesitancy in the European Union [J].
Mascherini, Massimiliano ;
Nivakoski, Sanna .
VACCINE, 2022, 40 (14) :2215-2225
[40]   Understanding the determinants of vaccine hesitancy in the United States: A comparison of social surveys and social media [J].
Sasse, Kuleen ;
Mahabir, Ron ;
Gkountouna, Olga ;
Crooks, Andrew ;
Croitoru, Arie .
PLOS ONE, 2024, 19 (06)