Abstract
AbstractThe chronic nature of coronavirus disease (COVID-19) outbreak and lack of success in treatment and cure is creating an environment that is crucial for mental wellbeing. Presently, we extracted and classified sentiments and emotions from 141,208 headlines of global English news sources regarding the coronavirus disease (COVID-19). The headlines considered were those carrying keyword coronavirus between the time frame 15 Janaury, 2020 to 3 June, 2020 from top rated 25 English news sources. The headlines were classified into positive, negative and neutral sentiments after the calculation of text unbounded polarity at the sentence level score and incorporating the valence shifters. In addition, the National Research Council Canada (NRC) Word-Emotion Lexicon was used to calculate the presence of eight emotions at their emotional weight. The results reveal that the news headlines had high emotional scores with a negative polarity. More precisely, around 52% of the news headlines evoked negative sentiments and only 30% evoked positive sentiments while 18% were neutral. Fear, trust, anticipation, sadness, and anger were the main emotions evoked by the news headlines. Overall, the findings of this study can be weaved together into important implications for emotional wellbeing and economic perspective.
Publisher
Springer Science and Business Media LLC
Subject
General Economics, Econometrics and Finance,General Psychology,General Social Sciences,General Arts and Humanities,General Business, Management and Accounting
Reference45 articles.
1. Akroyd S, Harrington P, Nastase A (2020) Rapid Literature Review: Governance and State Capability. Oxford Policy Management, UK. pp. 1–23
2. Aslam F, Mohti W, Ferreira P (2020) Evidence of intraday multifractality in european stock markets during the recent coronavirus (COVID-19) outbreak. Int J Financ Stud 8(2):31
3. Barbisch D, Koenig KL, Shih F-Y (2015) Is there a case for quarantine? Perspectives from SARS to Ebola. Disaster Med Public Health Prepare 9(5):547–553
4. Bermingham A, Smeaton AF (2010) Crowdsourced real-world sensing: sentiment analysis and the real-time web. AICS 2010 - Sentiment Analysis Workshop at Artificial Intelligence and Cognitive Science, Galway, Ireland, pp. 1–8
5. Cowen AS, Laukka P, Elfenbein HA, Liu R, Keltner D (2019) The primacy of categories in the recognition of 12 emotions in speech prosody across two cultures. Nat Human Behav 3(4):369–382
Cited by
168 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献