Background With the World Health Organization’s pandemic declaration and government-initiated actions against coronavirus disease (COVID-19), sentiments surrounding COVID-19 have evolved rapidly. Objective This study aimed to examine worldwide trends of four emotions—fear, anger, sadness, and joy—and the narratives underlying those emotions during the COVID-19 pandemic. Methods Over 20 million social media twitter posts made during the early phases of the COVID-19 outbreak from January 28 to April 9, 2020, were collected using “wuhan,” “corona,” “nCov,” and “covid” as search keywords. Results Public emotions shifted strongly from fear to anger over the course of the pandemic, while sadness and joy also surfaced. Findings from word clouds suggest that fears around shortages of COVID-19 tests and medical supplies became increasingly widespread discussion points. Anger shifted from xenophobia at the beginning of the pandemic to discourse around the stay-at-home notices. Sadness was highlighted by the topics of losing friends and family members, while topics related to joy included words of gratitude and good health. Conclusions Overall, global COVID-19 sentiments have shown rapid evolutions within just the span of a few weeks. Findings suggest that emotion-driven collective issues around shared public distress experiences of the COVID-19 pandemic are developing and include large-scale social isolation and the loss of human lives. The steady rise of societal concerns indicated by negative emotions needs to be monitored and controlled by complementing regular crisis communication with strategic public health communication that aims to balance public psychological wellbeing.

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We conducted in-depth analysis on the use of a popular Chinese social networking and microblogging site, Sina Weibo, to monitor an avian influenza A(H7N9) outbreak in China and to assess the value of social networking sites in the surveillance of disease outbreaks that occur overseas. Two data sets were employed for our analysis: a line listing of confirmed cases obtained from conventional public health information channels and case information from Weibo posts. Our findings showed that the level of activity on Weibo corresponded with the number of new cases reported. In addition, the reporting of new cases on Weibo was significantly faster than those of conventional reporting sites and non-local news media. A qualitative review of the functions of Weibo also revealed that Weibo enabled timely monitoring of other outbreak-relevant information, provided access to additional crowd-sourced epidemiological information and was leveraged by the local government as an interactive platform for risk communication and monitoring public sentiment on the policy response. Our analysis demonstrated the potential for social networking sites to be used by public health agencies to enhance traditional communicable disease surveillance systems for the global surveillance of overseas public health threats. Social networking sites also can be used by governments for calibration of response policies and measures and for risk communication.

While sentiment and emotion analysis has received a considerable amount of research attention, the notion of understanding and detecting the intensity of emotions is relatively less explored. This paper describes a system developed for predicting emotion intensity in tweets. Given a Twitter message, CrystalFeel uses features derived from parts-of-speech, ngrams, word embedding, and multiple affective lexicons including Opinion Lexicon, SentiStrength, AFFIN, NRC Emotion & Hash Emotion, and our in-house developed EI Lexicons to predict the degree of the intensity associated with fear, anger, sadness, and joy in the tweet. We found that including the affective lexicons-based features allowed the system to obtain strong prediction performance, while revealing interesting emotion word-level and message-level associations. On gold test data, CrystalFeel obtained Pearson correlations of .717 on average emotion intensity and of .816 on sentiment intensity.

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Background Public sentiments are an important indicator of crisis response, with the need to balance exigency without adding to panic or projecting overconfidence. Given the rapid spread of the COVID-19 pandemic, governments have enacted various nationwide measures against the disease with social media platforms providing the previously unparalleled communication space for the global populations. Objective This research aims to examine and provide a macro-level narrative of the evolution of public sentiments on social media at national levels, by comparing Twitter data from India, Singapore, South Korea, the United Kingdom, and the United States during the current pandemic. Methods A total of 67,363,091 Twitter posts on COVID-19 from January 28, 2020, to April 28, 2021, were analyzed from the 5 countries with “wuhan,” “corona,” “nCov,” and “covid” as search keywords. Change in sentiments (“very negative,” “negative,” “neutral or mixed,” “positive,” “very positive”) were compared between countries in connection with disease milestones and public health directives. Results Country-specific assessments show that negative sentiments were predominant across all 5 countries during the initial period of the global pandemic. However, positive sentiments encompassing hope, resilience, and support arose at differing intensities across the 5 countries, particularly in Asian countries. In the next stage of the pandemic, India, Singapore, and South Korea faced escalating waves of COVID-19 cases, resulting in negative sentiments, but positive sentiments appeared simultaneously. In contrast, although negative sentiments in the United Kingdom and the United States increased substantially after the declaration of a national public emergency, strong parallel positive sentiments were slow to surface. Conclusions Our findings on sentiments across countries facing similar outbreak concerns suggest potential associations between government response actions both in terms of policy and communications, and public sentiment trends. Overall, a more concerted approach to government crisis communication appears to be associated with more stable and less volatile public sentiments over the evolution of the COVID-19 pandemic.

Purpose This paper aims to discuss a foresight study conducted in Singapore’s national R&D agency to help science and technology decision makers identify key capability areas of R&D investment to support the manufacturing industry’s growth in the country and the region. Design/methodology/approach Using horizon scanning, scenario analysis and expert opinion, nine capabilities are identified as core areas to be developed to support the country’s future growth of product-service systems. Findings The results of a Delphi survey involving 30 industry and academic thought leaders recommend priorities of these capabilities. This paper concludes with a discussion of the study implications for theory, research and practice in the domain of servitisation and product-service systems. Research limitations/implications The foresight study presented here on the future of servitisation in Singapore demonstrates one of the first fully fledged applications of foresight in constructing a coherent vision of future product-service system markets. In this study, the authors applied systemic foresight methodology (SFM) comprising the first six phases: initiation (scoping), intelligence (scanning), imagination (scenarios), integration (priorities), interpretation (strategies) and implementation (action).For future research, an ideal step would be to proceed with the final phase of the SFM, impact, to develop indicators for servitisation and to monitor and evaluate the transition process. Practical implications Manufacturing and services are no longer distinct concepts with a clear divide. Manufacturing firms not only become more service dependent but also produce and provide services for their consumers. This transformation towards servitisation implies fundamental re-organisation of the production and management practices. Furthermore, through new business models, new and loyal customers will be gained, which will in turn bring additional income, while making the companies less prone to economic and business fluctuations. Social implications The results of this study have practical implications for policymakers of public and private sectors that are interested in playing a key role in future product-service system innovation. These have implications for developing the human and intellectual capital that are required for supporting the future innovation. Institutes of higher learning and vocational institutes should also consider incorporating new curricula and modules to build the capabilities for knowledge creation and transfer. Originality/value The findings of the present study on strategic growth areas and relevant critical capabilities provide new directions for research in the field of servitisation. Among the nine capabilities identified, the top three were advanced customer intelligence capability, socio-physical service quality, traceability and maintainability and integrated strategic decision-making. From the results, it is apparent that advanced customer intelligence capability is both an area of importance to Singapore and the world.