将下列文献的APA引用格式改为mla格式。48 Alamoodi A HZaidan B BZaidan A Aet alSentiment Analysis and Its Applications in Fighting COVID-19 and Infectious DiseasesA Systematic ReviewJExpert Systems With Applications202

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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, vol. 7, no. 7, 2021, doi: 10.2196/27942.

Cheng, C., Luo, Y., & Yu, C. "Dynamic Mechanism of Social Bots Interfering With Public Opinion In Network." Physica A-Statistical Mechanics and Its Applications, vol. 551, 2020, p. 124163.

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, vol. 14, 2021, pp. 1869-1879, doi: 10.2147/RMHP.S312327.

Fan, C., Jiang, Y., & Mostafavi, A. "The Role of Local Influential Users in Spread of Situational Crisis Information." Journal of Computer-Mediated Communication, vol. 26, no. 2, 2021, pp. 145-160, doi: 10.1093/JCMC/ZMAA020.

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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, vol. 10, 2022, doi: 10.3389/FPUBH.2022.843787.

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, doi: 10.3389/IJPH.2022.1604228.

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Kim, H. M., Saffer, A. J., Liu, W., Sun, J., Li, Y., Zhen, L., & Yang, A. "How Public Health Agencies Break through COVID-19 Conversations: A Strategic Network Approach to Public Engagement." Health Communication, vol. 37, no. 10, 2021, pp. 1276-1284, doi: 10.1080/10410236.2021.1886393.

Li, S., Liu, Z., & Li, Y. "Temporal and Spatial Evolution of Online Public Sentiment on Emergencies." Information Processing and Management, vol. 57, no. 2, 2020, p. 102177.

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, doi: 10.3389/FPUBH.2022.900776.

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, doi: 10.1080/0144929X.2021.1886325.

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, vol. 115, no. 49, 2018, pp. 12435-12440.

Tomz, M., Weeks, J. L. P., & Yarhi-Milo, K. "Public Opinion and Decisions About Military Force in Democracies." International Organization, vol. 74, no. 1, 2020, pp. 119-143.

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, vol. 18, no. 24, 2021, doi: 10.3390/ijerph182413298.

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, vol. 58, no. 6, 2021, doi: 10.1016/J.IPM.2021.102731.

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, vol. 114, 2021, p. 106568.

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, vol. 32, no. 1, 2022, pp. 1-20, doi: 10.1080/01292986.2021.2007274.

Zhang, Y., Shan, J., & Ye, Z. "Government Information Dissemination During Public Health Emergencies: An Analysis of China's Experiences." Frontiers in Public Health, 2022, doi: 10.3389/FPUBH.2022.748236.

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, vol. 607, 2022, doi: 10.1016/J.PHYSA.2022.128096.

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, vol. 22, no. 5, 2020, p. e18825.

Zhao, L., Xie, W., Gao, H. O., et al. "A Rumor Spreading Model With Variable Forgetting Rate." Physica A-Statistical Mechanics and its Applications, vol. 392, no. 23, 2013, pp. 6146-6154.

Zhu, Z., Liu, C., Wu, J., et al. "The Influence of Human Heterogeneity to Information Spreading." Journal of Statistical Physics, vol. 154, no. 6, 2014, pp. 1569-1577