MLA Citation Format: A Comprehensive Guide for COVID-19 Related Research
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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, vol. 167, 2020, pp. 114155.
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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.
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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.
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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.
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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.
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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.
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Zhang, Y., Shan, J., & Ye, Z. "Government Information Dissemination During Public Health Emergencies: An Analysis of China's Experiences." Frontiers in Public Health, 2022.
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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.
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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.
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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.
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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.
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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.
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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, pp. 102177.
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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, vol. 167, 2020, pp. 114155.
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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.
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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.
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Gallotti, R., Valle, F., Castaldo, N., et al. "Assessing the Risks of ‘Infodemics’ in Response to COVID-19 Epidemics." Nature Human Behaviour, vol. 4, no. 12, 2020, pp. 1285-1293.
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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.
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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.
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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, pp. 106568.
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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.
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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.
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Zhang, Y., Shan, J., & Ye, Z. "Government Information Dissemination During Public Health Emergencies: An Analysis of China's Experiences." Frontiers in Public Health, 2022.
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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, pp. 124163.
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