Examining Social Media Crisis Communication during Early COVID-19 from Public Health and News Media for Quality, Content, and Corresponding Public Sentiment
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- Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
- Carlos de las Heras-Pedrosa & Pablo Sánchez-Núñez & José Ignacio Peláez, 2020. "Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems," IJERPH, MDPI, vol. 17(15), pages 1-22, July.
- Nic Fleming, 2020. "Coronavirus misinformation, and how scientists can help to fight it," Nature, Nature, vol. 583(7814), pages 155-156, July.
- Faheem Aslam & Tahir Mumtaz Awan & Jabir Hussain Syed & Aisha Kashif & Mahwish Parveen, 2020. "Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
- Vaughan, E. & Tinker, T., 2009. "Effective health risk communication about pandemic influenza for vulnerable populations," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 324-332.
- Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
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- Dorit Zimand-Sheiner & Ofrit Kol & Smadar Frydman & Shalom Levy, 2021. "To Be (Vaccinated) or Not to Be: The Effect of Media Exposure, Institutional Trust, and Incentives on Attitudes toward COVID-19 Vaccination," IJERPH, MDPI, vol. 18(24), pages 1-14, December.
- Melissa MacKay & Andrea Cimino & Samira Yousefinaghani & Jennifer E. McWhirter & Rozita Dara & Andrew Papadopoulos, 2022. "Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagem," IJERPH, MDPI, vol. 19(11), pages 1-12, June.
- Saijun Zhang & Meirong Liu & Yeefay Li & Jae Eun Chung, 2021. "Teens’ Social Media Engagement during the COVID-19 Pandemic: A Time Series Examination of Posting and Emotion on Reddit," IJERPH, MDPI, vol. 18(19), pages 1-17, September.
- Chi-Jui Tsai & Wen-Jye Shyr, 2022. "Key Factors for Evaluating Visual Perception Responses to Social Media Video Communication," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
- Maya Fields & Kelsey L. Spence, 2024. "Content Analysis of Official Public Health Communications in Ontario, Canada during the COVID-19 Pandemic," IJERPH, MDPI, vol. 21(3), pages 1-10, March.
- Samar Binkheder & Raniah N. Aldekhyyel & Alanoud AlMogbel & Nora Al-Twairesh & Nuha Alhumaid & Shahad N. Aldekhyyel & Amr A. Jamal, 2021. "Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
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Keywords
crisis communication; risk communication; social media; Facebook; COVID-19; public health; pandemic; digital communication; sentiment analysis;All these keywords.
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