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1.
Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19. 相似文献
2.
《Information processing & management》2022,59(2):102820
As COVID-19 swept over the world, people discussed facts, expressed opinions, and shared sentiments about the pandemic on social media. Since policies such as travel restriction and lockdown in reaction to COVID-19 were made at different levels of the society (e.g., schools and employers) and the government, we build a large geo-tagged Twitter dataset titled UsaGeoCov19 and perform an exploratory analysis by geographic location. Specifically, we collect 650,563 unique geo-tagged tweets across the United States covering the date range from January 25 to May 10, 2020. Tweet locations enable us to conduct region-specific studies such as tweeting volumes and sentiment, sometimes in response to local regulations and reported COVID-19 cases. During this period, many people started working from home. The gap between workdays and weekends in hourly tweet volumes inspire us to propose algorithms to estimate work engagement during the COVID-19 crisis. This paper also summarizes themes and topics of tweets in our dataset using both social media exclusive tools (i.e., #hashtags, @mentions) and the latent Dirichlet allocation model. We welcome requests for data sharing and conversations for more insights.UsaGeoCov19 link: http://yunhefeng.me/geo-tagged_twitter_datasets/. 相似文献
3.
The implementation of digital contact tracing applications around the world to help reduce the spread of the COVID-19 pandemic represents one of the most ambitious uses of massive-scale citizen data ever attempted. There is major divergence among nations, however, between a “privacy-first” approach which protects citizens’ data at the cost of extremely limited access for public health authorities and researchers, and a “data-first” approach which stores large amounts of data which, while of immeasurable value to epidemiologists and other researchers, may significantly intrude upon citizens’ privacy. The lack of a consensus on privacy protection in the contact tracing process creates risks of non-compliance or deliberate obfuscation from citizens who fear revealing private aspects of their lives – a factor greatly exacerbated by recent major scandals over online privacy and the illicit use of citizens’ digital information, which have heightened public consciousness of these issues and created significant new challenges for any collection of large-scale public data. While digital contact tracing for COVID-19 remains in its infancy, the lack of consensus around best practices for its implementation and for reassuring citizens of the protection of their privacy may already have impeded its capacity to contribute to the pandemic response. 相似文献
4.
[目的/意义]新型冠状病毒肺炎疫情(简称新冠肺炎疫情)的全球蔓延引发了各领域学者对于突发公共卫生事件科学应对的思考。文章以新冠肺炎疫情为例,以微博为研究对象,旨在探讨突发公共卫生事件中公众的信息需求对于危机治理的影响机制。[方法/过程]首先,对新冠肺炎疫情及微博舆情做出阶段划分,进而利用质性分析结合层次聚类法从微博文本数据中抽取公众信息需求并跟踪其演变,最终结合相关理论探索性地建立了突发公共卫生事件公众信息需求模型。[结果/结论]突发公共卫生事件中公众的信息需求主要围绕风险认知、行为规范、情感、行为四个方面,通过社交媒体可以准确追踪公众信息需求并向公众提供所需信息,信息需求的满足最终促使公众自发参与危机治理。 相似文献
5.
Various technology innovations and applications have been developed to fight the coronavirus pandemic. The pandemic also has implications for the design, development, and use of technologies. There is an urgent need for a greater understanding of what roles information systems and technology researchers can play in this global pandemic. This paper examines emerging technologies used to mitigate the threats of COVID-19 and relevant challenges related to technology design, development, and use. It also provides insights and suggestions into how information systems and technology scholars can help fight the COVID-19 pandemic. This paper helps promote future research and technology development to produce better solutions for tackling the COVID-19 pandemic and future pandemics. 相似文献
6.
During the COVID-19 pandemic, a plethora of online sources for information and news dissemination have emerged. Extant research suggests that very quickly, individuals become disinterested and begin avoiding the information. In this study, we investigate how an individual's fear and situational motivation impact Online Information Avoidance. Using the self-determination theory and information avoidance theories, we argue that fear and external regulation are associated with increased Online Information Avoidance. We also argue that intrinsic motivation and identified regulation are associated with a decrease in Online Information Avoidance. Our findings suggest that fear, intrinsic motivation, and external regulation drive Online Information Avoidance, where intrinsic motivation is the most significant driver. We also found that identified regulation is a crucial inhibitor of Online Information Avoidance. While focusing on COVID-19, our study contributes to the broader information systems research literature and specifically to the information avoidance literature during a pandemic or a prolonged crisis. Our study's findings will be useful for governments, health organizations, and communities that utilize online platforms, forums, and related outlets to reach larger audiences for disseminating pertinent information and recommendations during a crisis. 相似文献
7.
Mariangela Palladino 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2021,31(3)
Coronavirus disease 2019 (COVID-19) pandemic represents a scientific and social crisis. One of the main unmet needs for coronavirus disease 2019 is its unpredictable clinical course, which can rapidly change in an irreversible outcome. COVID-19 patients can be classified into mild, moderate, and severe. Several haematological parameters, such as platelets, white blood cell total count, lymphocytes, neutrophils, (together with neutrophil-lymphocyte and platelet-lymphocyte ratio), and haemoglobin were described to be associated with COVID-19 infection and severity. The purpose of these review is to describe the current state of the art about complete blood count alterations during COVID-19 infection, and to summarize the crucial role of some haematological parameters during the course of the disease. Decreased platelet, lymphocyte, haemoglobin, eosinophil, and basophil count, increased neutrophil count and neutrophil-lymphocyte and platelet-lymphocyte ratio have been associated with COVID-19 infection and a worse clinical outcome. Our study adds some novelty about the identification of effective biomarkers of progressive disease, and might be helpful for diagnosis, prevention of complications, and effective therapy. 相似文献
8.
《Information processing & management》2023,60(3):103299
Understanding the effects of gender-specific emotional responses on information sharing behaviors are of great importance for swift, clear, and accurate public health crisis communication, but remains underexplored. This study fills this gap by investigating gender-specific anxiety- and anger-related emotional responses and their effects on the virality of crisis information by creatively drawing on social role theory, integrated crisis communication modeling, and text mining. The theoretical model is tested using two datasets (Changsheng vaccine crisis with 2,423,074 textual data and COVID-19 pandemic with 893,930 textual data) collected from Weibo, a leading social media platform in China. Females express significantly high anxiety and anger levels (p value<0.001) during the Changsheng fake vaccine crisis, while express significantly higher levels of anxiety during COVID-19 than males (p value<0.001), but not anger (p value=0.13). Regression analysis suggests that the virality of crisis information is significantly strengthened when the level of anger in posts of males is high or the level of anxiety in posts of females is high for both crises. However, such gender-specific virality differences of anger/anxiety expressions are violated once females have large numbers of followers (influencers). Furthermore, the gender-specific emotional effects on crisis information are more significantly enhanced for male influencers than female influencers. This study contributes to the literature on gender-specific emotional characteristics of crisis communication on social media and provides implications for practice. 相似文献
9.
《Information processing & management》2022,59(6):103074
As a global health crisis, the COVID-19 pandemic has also made heavy mental and emotional tolls become shared experiences of global communities, especially among females who were affected more by the pandemic than males for anxiety and depression. By connecting multiple facets of empathy as key mechanisms of information processing with the communication theory of resilience, the present study examines human-AI interactions during the COVID-19 pandemic in order to understand digitally mediated empathy and how the intertwining of empathic and communicative processes of resilience works as coping strategies for COVID-19 disruption. Mixed methods were adopted to explore the using experiences and effects of Replika, a chatbot companion powered by AI, with ethnographic research, in-depth interviews, and grounded theory-based analysis. Findings of this research extend empathy theories from interpersonal communication to human-AI interactions and show five types of digitally mediated empathy among Chinese female Replika users with varying degrees of cognitive empathy, affective empathy, and empathic response involved in the information processing processes, i.e., companion buddy, responsive diary, emotion-handling program, electronic pet, and tool for venting. When processing information obtained from AI and collaborative interactions with the AI chatbot, multiple facets of mediated empathy become unexpected pathways to resilience and enhance users’ well-being. This study fills the research gap by exploring empathy and resilience processes in human-AI interactions. Practical implications, especially for increasing individuals’ psychological resilience as an important component of global recovery from the pandemic, suggestions for future chatbot design, and future research directions are also discussed. 相似文献
10.
Luc Soete 《Research Policy》2019,48(4):849-857
The setting up of the Science Policy Research Unit (SPRU) at Sussex University 50 years ago represented a “transformative change” in the research on science policy and the understanding of the nature and origin of technological change and innovation studies. It influenced policymakers across the world in both the mature Organisation for Economic Co-operation and Development countries and the developing world. It made the topic of science, technology and innovation (STI) familiar to business studies scholars. Today though, the analysis of STI appears to be somewhat in crisis. On the one hand, there is growing evidence that the growth and welfare gains of new technologies and innovation are no longer forthcoming in an automatic “trickle-down” fashion. The knowledge and technology diffusion “machine” appears broken. On the other hand, there are growing environmental concerns about the negative externalities of unsustainable fossil-fuel-based growth as industrialization spreads across the globe. STI policy appears somehow stuck in an industrial efficiency and consumerism mode that is unable to address in a satisfactory way the impact of such negative externalities. Can the broader historical approach as popularized within the so-called Science and Technology Studies (STS) tradition provide additional, complementary insights? Yes, if STI and STS scholars are prepared to leave their respective conceptual comfort zones and address in complementary fashion some of the major societal policy challenges confronting science, technology and innovation policy today. 相似文献
11.
《Information processing & management》2022,59(4):102989
Systematic processing helps individuals identify misinformation during the COVID-19 pandemic and serves as an individual-level measure to fight the infodemic. Highly educated people tend to engage in systematic processing more than their less educated counterparts. We follow a major part of the risk information seeking and processing (RISP) model to explicate this gap. An online survey (N = 1,568) conducted during the early stage of the pandemic in China showed that current knowledge and perceived information gathering capacity both positively mediated the association between education level and systematic processing. Although informational subjective norms were positively associated with systematic processing, we did not observe a significant difference in these norms between highly and less educated individuals. The results clarify the psychological mechanism underlying the education-based difference in systematic processing of the COVID-19 information and corroborate a relevant part of the RISP model. Moreover, our findings offer practical implications for facilitating individuals with less educational attainment to engage in systematic processing, thereby alleviating the negative impact of exposure to misinformation on them. These insights not only apply to managing the infodemic in China, but also inform the global recovery from the infodemic. 相似文献
12.
There has been an increased usage and popularity of digital platforms during the COVID-19 crisis. This has resulted in many new types of digital platforms emerging that are tied to specific localities and based on emergent needs. This article presents the results of a study on the ClickforVic digital platform that was started during the first 2020 lockdown in Melbourne, Australia as a way for country farmers to connect with urban consumers. The study is premised on transformational entrepreneurship theory that enables a focus on the societal changes that have resulted from the COVID-19 pandemic. A semi-structured in-depth interview approach was utilised to understand how farm entrepreneurs perceived the digital platform and how this contributed to transformational entrepreneurship outcomes. The study is amongst the first to incorporate a digital platform, farm entrepreneurship, transformational entrepreneurship and COVID-19 perspective. The findings suggest that farm entrepreneurs are driven by financial, social and community goals during a crisis that influences their usage of digital platforms. As a consequence, the findings contribute to managerial practice and policy debate by highlighting the way digital platforms can be used in times of crisis to produce transformational entrepreneurship outcomes. 相似文献
13.
The COVID-19 pandemic has forced many organisations to undergo significant transformation, rethinking key elements of their business processes and use of technology to maintain operations whilst adhering to a changing landscape of guidelines and new procedures. This study offers a collective insight to many of the key issues and underlying complexities affecting organisations and society from COVID-19, through an information systems and technological perspective. The views of 12 invited subject experts are collated and analysed where each articulate their individual perspectives relating to: online learning, digital strategy, artificial intelligence, information management, social interaction, cyber security, big data, blockchain, privacy, mobile technology and strategy through the lens of the current crisis and impact on these specific areas. The expert perspectives offer timely insight to the range of topics, identifying key issues and recommendations for theory and practice. 相似文献
14.
The recent outbreak of the COVID-19 pandemic has posed a significant threat to the healthy lives and well-being of billions of people worldwide. As the world begins to open up from lockdowns and enters an unprecedented state of vulnerability, or what many have called “the new normal”, it makes sense to reflect on what we have learned, revisit our fundamental assumptions, and start charting the way forward to contribute to building a sustainable world. In this essay, we argue that despite its significant damage to human lives and livelihoods, the coronavirus pandemic presents an excellent opportunity for the human family to act in solidarity and turn this crisis into an impetus to achieve the United Nation’s (UN) Sustainable Development Goals (SDG). In this article, we will highlight the six relevant themes that have evolved during the pandemic and the corresponding topics that future researchers could focus on. We conclude by issuing a call for more research attention on tackling SDG through developing the concept and practice of digital sustainability. 相似文献
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16.
《Information processing & management》2022,59(3):102918
This paper proposes a new deep learning approach to better understand how optimistic and pessimistic feelings are conveyed in Twitter conversations about COVID-19. A pre-trained transformer embedding is used to extract the semantic features and several network architectures are compared. Model performance is evaluated on two new, publicly available Twitter corpora of crisis-related posts. The best performing pessimism and optimism detection models are based on bidirectional long- and short-term memory networks.Experimental results on four periods of the COVID-19 pandemic show how the proposed approach can model optimism and pessimism in the context of a health crisis. There is a total of 150,503 tweets and 51,319 unique users. Conversations are characterised in terms of emotional signals and shifts to unravel empathy and support mechanisms. Conversations with stronger pessimistic signals denoted little emotional shift (i.e. 62.21% of these conversations experienced almost no change in emotion). In turn, only 10.42% of the conversations laying more on the optimistic side maintained the mood. User emotional volatility is further linked with social influence. 相似文献
17.
《Research Policy》2023,52(1):104623
In this paper we develop a novel multi-stage integrative framework for technology foresight-planning. This framework integrates econometric analysis and a technology foresight procedure to predict: (i) the most COVID-19 resilient industries at the national level; and (ii) the most adversely affected industries (due to prior investment in innovation) that requires public support. Our econometric results show that the pandemic has induced a ‘double-edge sword’ effect of innovation on firm’s COVID-19 adaptable capacity (CAC). Costly innovation undertaken before the pandemic can be bad for firms if it compounds the problem of declining post-pandemic outbreak profit and optimism. Contrarily, firm level innovation improves firm’s CAC as the prior innovators’ profitability are found to have above-even odds of rebounding quickly post-pandemic outbreak. Our empirical analysis focuses mostly on developing economies, where firms are most likely implementing only incremental (non-frontier) innovation and thus our results should be generalized with caution. 相似文献
18.
新冠肺炎疫情大流行对世界各国的人口健康、经济、社会、安全等方面，以及全球化进程都产生了灾难性的影响，同时也对全球科技发展提出了新的重大创新需求。应对世纪疫情的挑战，美国、英国、德国、法国、日本、俄罗斯等科技强国及欧盟都不断尝试利用科技创新转“危”为“机”，积极在前沿技术、数字经济、生物技术与生物安全、气候环境等领域进行战略布局，加快促进经济复苏。文章在介绍这些国家和地区科技战略新动向的基础上，归纳出全球在关注前沿技术、推进数字经济、重视生物安全与生命健康、强调保护气候环境等方面的共性战略谋划，并总结出数字化、智能化、人本化、生态化和国家化五大发展特点。在此基础上，为我国前瞻性布局科技发展战略提出建议：摆脱疫情影响，实现科技自主自立自强；制定国家数字经济战略，推动经济社会数字转型；关注生命健康，大力推进健康中国建设；转变发展方式，坚持生态环境绿色发展。 相似文献
19.
Ethics and Information Technology - The COVID-19 pandemic has brought the long-standing public health practice of contact tracing into the public spotlight. While contact tracing and case... 相似文献
20.
The outbreak of the COVID-19 pandemic has created significant challenges for people worldwide. To combat the virus, one of the most dramatic measures was the lockdown of 4 billion people in what is believed to be the largest quasi-quarantine in human history. As a response to the call to study information behavior during a global health crisis, we adopted a resource orchestration perspective to investigate six Chinese families who survived the lockdown. We explored how elderly, young and middle-aged individuals and children resourced information and how they adapted their information behavior to emerging online technologies. Two information resource orchestration practices (information resourcing activities and information behavior adaptation activities) and three mechanisms (online emergence and convergence in community resilience, the overcoming of information flow impediments, and the application of absorptive capacity) were identified in the study. 相似文献