• 日期: 2025-04-24
  • 标签: 教育

  1. Alamoodi, A. H., Zaidan, B. B., Zaidan, A. A., et al. Sentiment Analysis and Its Applications in Fighting COVID-19 and Infectious Diseases: A Systematic Review. Expert Systems With Applications, 167, 114155, 2020.

  2. Chen, K., Luo, Y., Hu, A., Zhao, J., & Zhang, L. Characteristics of Misinformation Spreading on Social Media During the COVID-19 Outbreak in China: A Descriptive Analysis. Risk Management and Healthcare Policy, 14, 1869-1879, 2021.

  3. Yudarwati, G. A., Putranto, I. A., Delmo, & Kate, M. Examining the Indonesian Government's Social Media Use for Disaster Risk Communication. Asian Journal of Communication, 32(1), 1-20, 2022.

  4. Gu, J., He, R., Wu, X., Tao, J., Ye, W., & Wu, C. Analyzing Risk Communication, Trust, Risk Perception, Negative Emotions, and Behavioral Coping Strategies During the COVID-19 Pandemic in China Using a Structural Equation Model. Frontiers in Public Health, 10, 2022.

  5. Fan, C., Jiang, Y., & Mostafavi, A. The Role of Local Influential Users in Spread of Situational Crisis Information. Journal of Computer-Mediated Communication, 26(2), 145-160, 2021.

  6. Alhassan, F. M., & AlDossary, S. A. The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study. Jmir Public Health and Surveillance, 7(7), 2021.

  7. Zhang, Y., Shan, J., & Ye, Z. Government Information Dissemination During Public Health Emergencies: An Analysis of China's Experiences. Frontiers in Public Health, 2022.

  8. Tsang, S. J., Zhao, X., & Chen, Y. R. R. Assessing Mechanisms Underlying the Sharing of Official and Unofficial Information During a Pandemic. International Journal of Environmental Research and Public Health, 18(24), 2021.

  9. Zhang, Y., Xu, J., Nekovee, M., & Li, Z. The Impact of Official Rumor-Refutation Information on the Dynamics of Rumor Spread. Physica A: Statistical Mechanics and its Applications, 607, 2022.

  10. Wang, X., Li, Y., Li, J., Liu, Y., & Cheng, Q. A Rumor Reversal Model of Online Health Information during the Covid-19 Epidemic. Information Processing & Management, 58(6), 2021.

  11. Zhao, L., Xie, W., Gao, H. O., et al. A Rumor Spreading Model With Variable Forgetting Rate. Physica A: Statistical Mechanics and its Applications, 392(23), 6146-6154, 2013.

  12. Zhu, Z., Liu, C., Wu, J., et al. The Influence of Human Heterogeneity to Information Spreading. Journal of Statistical Physics, 154(6), 1569-1577, 2014.

  13. Li, S., Liu, Z., & Li, Y. Temporal and Spatial Evolution of Online Public Sentiment on Emergencies. Information Processing and Management, 57(2), 102177, 2020.

  14. Alamoodi, A. H., Zaidan, B. B., Zaidan, A. A., et al. Sentiment Analysis and Its Applications in Fighting COVID-19 and Infectious Diseases: A Systematic Review. Expert Systems With Applications, 167, 114155, 2020.

  15. Zhao, Y., Cheng, S., Yu, X., et al. Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study. Journal of Medical Internet Research, 22(5), e18825, 2020.

  16. Stella, M., Ferrara, E., & Domenico, M. Bots Increase Exposure To Negative and Inflammatory Content in Online Social Systems. Proceedings of the National Academy of Sciences, 115(49), 12435-12440, 2018.

  17. Gallotti, R., Valle, F., Castaldo, N., et al. Assessing the Risks of ‘Infodemics’ in Response to COVID-19 Epidemics. Nature Human Behaviour, 4(12), 1285-1293, 2020.

  18. Li, Z., Wang, M., Zhong, J., & Ren, Y. Improving the Communication and Credibility of Government Media in Response to Public Health Emergencies: Analysis of Tweets from the WeChat Official Accounts of 10 Chinese Health Commissioners. Frontiers in Public Health, 2022.

  19. Harper, T., & Attwell, K. How Vaccination Rumours Spread Online: Tracing the Dissemination of Information Regarding Adverse Events of COVID-19 Vaccines. International Journal of Public Health, 2022.

  20. Wang, Y., Hao, H., & Platt, L. S. Examining Risk and Crisis Communications of Government Agencies and Stakeholders During Early-stages of COVID-19 on Twitter. Computers in Human Behavior, 114, 106568, 2021.

  21. Lu, Y., Qiu, J., Jin, C., Gu, W., & Dou, S. The Influence of Psychological Language Words Contained in Microblogs on Dissemination Behaviour in Emergency Situations - Mediating Effects of Emotional Responses. Behaviour & Information Technology, 2022.

  22. Tomz, M., Weeks, J. L. P., & Yarhi-Milo, K. Public Opinion and Decisions About Military Force in Democracies. International Organization, 74(1), 119-143, 2020.

  23. Zhang, Y., Shan, J., & Ye, Z. Government Information Dissemination During Public Health Emergencies: An Analysis of China's Experiences. Frontiers in Public Health, 2022.

  24. Cheng, C., Luo, Y., & Yu, C. Dynamic Mechanism of Social Bots Interfering With Public Opinion In Network. Physica A: Statistical Mechanics and its Applications, 551, 124163, 2020

将下列文献的APA引用格式改为mla格式按照首字母的顺序重新排列并标号从5开始。48 Alamoodi A HZaidan B BZaidan A Aet alSentiment Analysis and Its Applications in Fighting COVID-19 and Infectious DiseasesA Systematic ReviewJExpert Systems W

原文地址: https://www.cveoy.top/t/topic/f5UC 著作权归作者所有。请勿转载和采集!

免费AI点我,无需注册和登录