article Open AccessTop 1% cited
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media
Applied Soft Computing · 2020 · Vol. 97 · pp. 106754–106754
Koyel ChakrabortySurbhi Bhatia(King Faisal University)Siddhartha Bhattacharyya✉(Christ University)Jan Platoš(VSB - Technical University of Ostrava)Rajib BagAboul Ella Hassanien(Cairo University)
Misinformation and Its ImpactsSentiment Analysis and Opinion MiningSpam and Phishing DetectionPopularityPandemicPopulationSocial mediaApprehensionSentiment analysisPreparednessPsychologyCoronavirus disease 2019 (COVID-19)Anxiety
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383
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References
63
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100%
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References
Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction
Technological Forecasting and Social Change · 2018 · 569 citations
Systematic Literature Review on the Spread of Health-related Misinformation on Social Media
Social Science & Medicine · 2019 · 1,754 citations
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International Journal of Environmental Research and Public Health · 2020 · 1,887 citations
Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention
Psychological Science · 2020 · 1,709 citations
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