Characterizing News Report of the Substandard Vaccine Case of Changchun Changsheng in China: A Text Mining Approach

Overview

Journal Vaccines (Basel)

Date 2020 Nov 20

PMID 33212869

Citations 1

Authors

Ping Zhou

Yao He

Chao Lyu

Xiaoguang Yang

Affiliations

Soon will be listed here.

Abstract

The substandard vaccine case of that broke out in July 2018 in China triggered an outburst of news reports both domestically and aboard. Distilling the abundant textual information is helpful for a better understanding of the character during this public event. : We collected the texts of 2211 news reports from 83 mainstream media outlets in China between 15 July and 25 August 2018, and used a structural topic model (STM) to identify the major topics and features that emerged. We also used dictionary-based sentiment analysis to uncover the sentiments expressed by the topics as well as their temporal variations. : The main topics of the news report fell into six major categories, including: (1) Media Investigation, (2) Response from the Top Authority, (3) Government Action, (4) Knowledge Dissemination, (5) Finance Related and (6) Commentary. The topic prevalence shifted during different stages of the events, illustrating the actions by the government. Sentiments generally spanned from negative to positive, but varied according to different topics. : The characteristics of news reports on vaccines are shaped by various topics at different stages. The inner dynamics of the topic and its alterations are driven by the interaction between social sentiment and governmental intervention.

Citing Articles

Vaccination coverage determinants in low uptake areas of China: a qualitative study of provider perspectives in Sichuan, Guangdong, and Henan Provinces.

Lin S, Zhang S, Chantler T, Sun F, Zou J, Cheng J Hum Vaccin Immunother. 2022; 18(1):2030623.

PMID: 35176962 PMC: 8993075. DOI: 10.1080/21645515.2022.2030623.

References

Berry T, Wharf-Higgins J, Naylor P . SARS wars: an examination of the quantity and construction of health information in the news media. Health Commun. 2007; 21(1):35-44. DOI: 10.1080/10410230701283322. View

Liu B, Chen R, Zhao M, Zhang X, Wang J, Gao L . Vaccine confidence in China after the Changsheng vaccine incident: a cross-sectional study. BMC Public Health. 2019; 19(1):1564. PMC: 6880575. DOI: 10.1186/s12889-019-7945-0. View

Chen L, Zhang Y, Young R, Wu X, Zhu G . Effects of Vaccine-Related Conspiracy Theories on Chinese Young Adults' Perceptions of the HPV Vaccine: An Experimental Study. Health Commun. 2020; 36(11):1343-1353. DOI: 10.1080/10410236.2020.1751384. View

Hu D, Martin C, Dredze M, Broniatowski D . Chinese social media suggest decreased vaccine acceptance in China: An observational study on Weibo following the 2018 Changchun Changsheng vaccine incident. Vaccine. 2020; 38(13):2764-2770. PMC: 7211271. DOI: 10.1016/j.vaccine.2020.02.027. View

Okuhara T, Ishikawa H, Okada M, Kato M, Kiuchi T . Newspaper coverage before and after the HPV vaccination crisis began in Japan: a text mining analysis. BMC Public Health. 2019; 19(1):770. PMC: 6580608. DOI: 10.1186/s12889-019-7097-2. View

Coleman R, Thorson E, Wilkins L . Testing the effect of framing and sourcing in health news stories. J Health Commun. 2011; 16(9):941-54. DOI: 10.1080/10810730.2011.561918. View

Bail C . Cultural carrying capacity: Organ donation advocacy, discursive framing, and social media engagement. Soc Sci Med. 2016; 165:280-288. DOI: 10.1016/j.socscimed.2016.01.049. View

Goldstein S, MacDonald N, Guirguis S . Health communication and vaccine hesitancy. Vaccine. 2015; 33(34):4212-4. DOI: 10.1016/j.vaccine.2015.04.042. View

Becker B, Larson H, Bonhoeffer J, van Mulligen E, Kors J, Sturkenboom M . Evaluation of a multinational, multilingual vaccine debate on Twitter. Vaccine. 2016; 34(50):6166-6171. DOI: 10.1016/j.vaccine.2016.11.007. View

10.

Ghosh S, Chakraborty P, Nsoesie E, Cohn E, Mekaru S, Brownstein J . Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks. Sci Rep. 2017; 7:40841. PMC: 5244405. DOI: 10.1038/srep40841. View

11.

Faasse K, Porsius J, Faasse J, Martin L . Bad news: The influence of news coverage and Google searches on Gardasil adverse event reporting. Vaccine. 2017; 35(49 Pt B):6872-6878. DOI: 10.1016/j.vaccine.2017.10.004. View

12.

Zhou M, Qu S, Zhao L, Kong N, Campy K, Wang S . Trust collapse caused by the Changsheng vaccine crisis in China. Vaccine. 2019; 37(26):3419-3425. DOI: 10.1016/j.vaccine.2019.05.020. View

13.

Yang R, Penders B, Horstman K . Vaccine Hesitancy in China: A Qualitative Study of Stakeholders' Perspectives. Vaccines (Basel). 2020; 8(4). PMC: 7711886. DOI: 10.3390/vaccines8040650. View

14.

Chai K, Tao R, Chang K, Yang Y . Impact of China's Vaccine Incidents on the Operational Efficiency of Biopharmaceutical Companies. Front Public Health. 2020; 8:93. PMC: 7156583. DOI: 10.3389/fpubh.2020.00093. View

15.

Beaudoin C, Hong T . Health information seeking, diet and physical activity: an empirical assessment by medium and critical demographics. Int J Med Inform. 2011; 80(8):586-95. DOI: 10.1016/j.ijmedinf.2011.04.003. View

16.

Forster A, McBride K, Davies C, Stoney T, Marshall H, McGeechan K . Development and validation of measures to evaluate adolescents' knowledge about human papillomavirus (HPV), involvement in HPV vaccine decision-making, self-efficacy to receive the vaccine and fear and anxiety. Public Health. 2017; 147:77-83. PMC: 5476903. DOI: 10.1016/j.puhe.2017.02.006. View

17.

Liu Q, Zheng Z, Zheng J, Chen Q, Liu G, Chen S . Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach. J Med Internet Res. 2020; 22(4):e19118. PMC: 7189789. DOI: 10.2196/19118. View

18.

Shropshire A, Brent-Hotchkiss R, Andrews U . Mass media campaign impacts influenza vaccine obtainment of university students. J Am Coll Health. 2013; 61(8):435-43. DOI: 10.1080/07448481.2013.830619. View

19.

Gesualdo F, Marino F, Mantero J, Spadoni A, Sambucini L, Quaglia G . The use of web analytics combined with other data streams for tailoring online vaccine safety information at global level: The Vaccine Safety Net's web analytics project. Vaccine. 2020; 38(41):6418-6426. DOI: 10.1016/j.vaccine.2020.07.070. View

20.

Gwak J, Sohn S . Identifying the trends in wound-healing patents for successful investment strategies. PLoS One. 2017; 12(3):e0174203. PMC: 5357059. DOI: 10.1371/journal.pone.0174203. View