Global health crises are also information crises: A call to action

The ACTIVATE Digital Health Pilot Program for Diabetes and Hypertension in an Underserved and Rural Community

BACKGROUND

Community health centers and patients in rural and agricultural communities struggle to address diabetes and hypertension in the face of health disparities and technology barriers. The stark reality of these digital health disparities were highlighted during the coronavirus disease 2019 pandemic.

OBJECTIVES

The objective of the ACTIVATE (Accountability, Coordination, and Telehealth in the Valley to Achieve Transformation and Equity) project was to codesign a platform for remote patient monitoring and program for chronic illness management that would address these disparities and offer a solution that fit the needs and context of the community.

METHODS

ACTIVATE was a digital health intervention implemented in three phases: community codesign, feasibility assessment, and a pilot phase. Pre- and postintervention outcomes included regularly collected hemoglobin A1c (A1c) for participants with diabetes and blood pressure for those with hypertension.

RESULTS

Participants were adult patients with uncontrolled diabetes and/or hypertension (n = 50). Most were White and Hispanic or Latino (84%) with Spanish as a primary language (69%), and the mean age was 55. There was substantial adoption and use of the technology: over 10,000 glucose and blood pressure measures were transmitted using connected remote monitoring devices over a 6-month period. Participants with diabetes achieved a mean reduction in A1c of 3.28 percentage points (standard deviation [SD]: 2.81) at 3 months and 4.19 percentage points (SD: 2.69) at 6 months. The vast majority of patients achieved an A1c in the target range for control (7.0-8.0%). Participants with hypertension achieved reductions in systolic blood pressure of 14.81 mm Hg (SD: 21.40) at 3 months and 13.55 mm Hg (SD: 23.31) at 6 months, with smaller reductions in diastolic blood pressure. The majority of participants also reached target blood pressure (less than 130/80).

CONCLUSION

The ACTIVATE pilot demonstrated that a codesigned solution for remote patient monitoring and chronic illness management delivered by community health centers can overcome digital divide barriers and show positive health outcomes for rural and agricultural residents.

A data-based participatory approach for health equity and digital inclusion: prioritizing stakeholders

This article starts from the premise that projects informed by data science can address social concerns, beyond prioritizing the design of efficient products or services. How can we bring the stakeholders and their situated realities back into the picture? It is argued that data-based, participatory interventions can improve health equity and digital inclusion while avoiding the pitfalls of top-down, technocratic methods. A participatory framework puts users, patients and citizens as stakeholders at the centre of the process, and can offer complex, sustainable benefits, which go beyond simply the experience of participation or the development of an innovative design solution. A significant benefit for example is the development of skills, which should not be seen as a by-product of the participatory processes, but a central element of empowering marginalized or excluded communities to participate in public life. By drawing from different examples in various domains, the article discusses what can be learnt from implementations of schemes using data science for social good, human-centric design, arts and wellbeing, to argue for a data-centric, creative and participatory approach to address health equity and digital inclusion in tandem.

Crisis response during the COVID-19 pandemic: Changes in social contact and social participation of older Americans

OBJECTIVE

This study aimed to assess changes in social contact with family, friends and healthcare providers, as well as social participation in working, volunteering, religious services and other organized activities, among older adults during the COVID-19 pandemic while examining the role of pre-COVID sociodemographic characteristics or cognitive and physical limitations in changes in social contact and participation.

METHODS

We conducted secondary data analyses in the National Health and Aging Trends Study (NHATS) COVID-19 questionnaire, collected in 2020 during a period of workplace closures and social distancing guidelines. We linked data to pre-COVID sociodemographic and medical information collected in 2019 before COVID interrupted social life. The frequency of participants' social contact and social participation prior to and during the COVID-19 pandemic, were compared using paired t-tests for summed scores. Multivariate linear regression was used to relate participants' socio-demographic, prior physical and cognitive performance with levels of social contact and participation and with changes reported during the COVID-19 pandemic.

RESULTS

In total, results from 2,486 eligible participants revealed that COVID-19 was associated with decreased social contact among family and friends (change: -0.62; SE: 0.06; p<0.0001), and social participation among older adults (change: -0.58; SE: 0.02; p<0.0001). Pre-COVID characteristics including older age, lower educational attainment, poorer physical performance, and more chronic conditions were associated with lower social contact and social participation and with how older adults adapted their social lives during the COVID-19 pandemic.

DISCUSSION

These results emphasize the importance of increasing digital inclusion for older adults in a major crisis.

COVID-19 knowledge deconstruction and retrieval: an intelligent bibliometric solution

COVID-19 has been an unprecedented challenge that disruptively reshaped societies and brought a massive amount of novel knowledge to the scientific community. However, as this knowledge flood continues surging, researchers have been disadvantaged by not having access to a platform that can quickly synthesize emerging information and link the new knowledge to the latent knowledge foundation. Aiming to fill this gap, we propose a research framework and develop a dashboard that can assist scientists in identifying, retrieving, and understanding COVID-19 knowledge from the ocean of scholarly articles. Incorporating principal component decomposition (PCD), a knowledge mode-based search approach, and hierarchical topic tree (HTT) analysis, the proposed framework profiles the COVID-19 research landscape, retrieves topic-specific latent knowledge foundation, and visualizes knowledge structures. The regularly updated dashboard presents our research results. Addressing 127,971 COVID-19 research papers from PubMed, the PCD topic analysis identifies 35 research hotspots, along with their inner correlations and fluctuating trends. The HTT result segments the global knowledge landscape of COVID-19 into clinical and public health branches and reveals the deeper exploration of those studies. To supplement this analysis, we additionally built a knowledge model from research papers on the topic of vaccination and fetched 92,286 pre-Covid publications as the latent knowledge foundation for reference. The HTT analysis results on the retrieved papers show multiple relevant biomedical disciplines and four future research topics: monoclonal antibody treatments, vaccinations in diabetic patients, vaccine immunity effectiveness and durability, and vaccination-related allergic sensitization.

The Effect of Intolerance of Uncertainty on State Anxiety in the Regular Epidemic Prevention and Control Phase in the Context of Informatization: A Moderated Chain Mediation Model

The COVID-19 pandemic has led to a generally high level of state anxiety resulting from the high contagiousness of the disease and strict prevention and control policies. The present study mainly focused on the relationship between the individual intolerance of uncertainty and state anxiety in the regular epidemic prevention and control phase in China, and aimed to investigate the mediating role of information overload and rumination, as well as the moderating role of self-compassion. A total of 992 Chinese residents from 31 provinces participated in this study, and completed questionnaires regarding intolerance of uncertainty, information overload, self-compassion, rumination, and state anxiety. Descriptive statistics and correlation analyses, as well as tests for mediating effects and moderated chain mediating effects, were performed on the data using SPSS 26.0 and Process 3.5 macro program. The findings indicated that intolerance of uncertainty significantly predicted individual state anxiety. Information overload mediates the effects of intolerance of uncertainty and state anxiety. Rumination also mediates the effect of uncertainty intolerance on state anxiety. Information overload and rumination have a chain mediation effect on the link between intolerance of uncertainty and state anxiety. Self-compassion mediates the effect of information overload on rumination. The results illuminate theoretical and practical implications in the regular epidemic prevention and control phases and reveal the protective role of self-compassion.

Effects of social media empowerment on COVID-19 preventive behaviors in China

Purpose

During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment.

Design/methodology/approach

In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis.

Findings

The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior.

Originality/value

This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic.

Caged, helpless but not bored: consumption values derived from over-the-top platforms during pandemic

Purpose

The use of over-the-top (OTT) platforms grew substantially after the declaration of the COVID-19 pandemic in 2020. With the pandemic receding, there is a concern that users may not continue with their subscriptions. To counter this, OTT service providers must strategize proactively to retain and acquire new users once the pandemic abates. Positing that understanding the consumption values that users ascribe to OTT platform usage can provide useful customer retention insights, the purpose of this paper is to use the theory of consumption value (TCV) to study the values that users derived from their use of OTT following the onset of the pandemic.

Design/methodology/approach

The mixed-method approach is used to collect qualitative and quantitative data. Analysis of qualitative responses collected through interviews of 12 current OTT platform users helped identify two categories of OTT platform-specific values: attribute-level and benefit-based. Next, the study examined the association of values thus identified with one another, as well as with continued intentions to use OTT platforms, by analyzing data collected from 371 existing users.

Findings

The findings indicated that functional value quality and social value, representing the attribute-level values, were positively associated with two benefit-based values – functional value price and emotional value (EMV). Next, EMV was not only associated with intentions but also partially mediated the association of attribute-level values with intentions. Premium subscription purchased and increased viewing time were confirmed to have moderating effects on the association between attribute-level and benefit-based values.

Originality/value

The study is amongst the foremost research initiatives to examine consumption values derived from OTT platform usage after the onset of the pandemic. Its novelty also comes from its identifying OTT platform-specific consumption values for the first time and adding a new dimension to the TCV by examining the interplay of these values in the OTT platform context.

Impact of COVID-19 on search in an organisation

COVID-19 has created unprecedented organisational challenges, yet no study has examined the impact on information search. A case study in a knowledge-intensive organisation was undertaken on 2.5 million search queries during the pandemic. A surge of unique users and COVID-19 search queries in March 2020 may equate to 'peak uncertainty and activity', demonstrating the importance of corporate search engines in times of crisis. Search volumes dropped 24% after lockdowns; an 'L-shaped' recovery may be a surrogate for business activity. COVID-19 search queries transitioned from awareness, to impact, strategy, response and ways of working that may influence future search design. Low click through rates imply some information needs were not met and searches on mental health increased. In extreme situations (i.e. a pandemic), companies may need to move faster, monitoring and exploiting their enterprise search logs in real time as these reflect uncertainty and anxiety that may exist in the enterprise.

Misinformation and COVID-19 vaccine hesitancy

BACKGROUND

COVID-19 vaccine hesitancy has emerged as a major public health challenge. Although medical and scientific misinformation has been known to fuel vaccine hesitancy in the past, misinformation surrounding COVID-19 seems to be rampant, and increasing evidence suggests that it is contributing to COVID-19 vaccine hesitancy today. The relationship between misinformation and COVID-19 vaccine hesitancy is complex, however, and it is relatively understudied.

METHODS

In this article, we report qualitative data from two related but distinct studies from a larger project. Study 1 included semi-structured, open-ended interviews conducted in October-November 2020 via phone with 30 participants to investigate the relationship between misinformation and COVID-19 vaccine hesitancy. Study 1's results then informed the design of open-ended questions for Study 2, an online survey conducted in May-June 2021 to consider the relationship between misinformation and vaccine hesitancy further. The data were examined with thematic analysis.

RESULTS

Study 1 led to the identification of positive and negative themes related to attitudes toward COVID-19 vaccines. In Study 2, responses from vaccine-hesitant participants included six categories of misinformation: medical, scientific, political, media, religious, and technological. Across both Study 1 and Study 2, six vaccine hesitancy themes were identified from the data: concerns about the vaccines' future effects, doubts about the vaccines' effectiveness, commercial profiteering, preference for natural immunity, personal freedom, and COVID-19 denial.

CONCLUSIONS

The relationship between misinformation and vaccine hesitancy is complicated. Various types of misinformation exist, with each related to a specific type of vaccine hesitancy-related attitude. Personal freedom and COVID-19 denial are vaccine attitudes of particular interest, representing important yet understudied phenomena. Medical and scientific approaches may not be sufficient to combat misinformation based in religion, media, or politics; and public health officials may benefit from partnering with experts from those fields to address harmful misinformation that is driving COVID-19 vaccine hesitancy.

Gender Differences in Emotional Valence and Social Media Content Engagement Behaviors in Pandemic Diaries: An Analysis Based on Microblog Texts

The effects of the COVID-19 pandemic are individualized, which means that our emotions and behaviors would experience changes of different degrees. These changes have led to subtle connections within the social media context. This study concentrates on pandemic diaries posted on microblog sites during the lockdown period in China and explores the association between gender, emotional valence in diaries, and social media content engagement behaviors. Through computational methods, this study found that males and females tended to present significantly different emotional valence and social media content engagement behaviors. A negative correlation existed between emotional valence and comment behavior in female diary texts. Moreover, the pandemic proximity had a moderating effect on emotional valence and social media content engagement behaviors. This article attempts to explain the emotional and behavioral characteristics related to social media diaries and express concerns for the emotional health of disadvantaged blog users in the severely affected area during the pandemic.

Wissenschaftskommunikation und Informationsverhalten während der COVID-19-Pandemie: Eine Analyse von Umfragedaten und Interviews

Die Coronapandemie hat einen hohen Bedarf an Informationen ausgelöst. Gleichzeitig wurde eine große Menge an Wissenschaftsinformationen über verschiedene Kanäle verbreitet, darunter häufig auch über Social Media. Somit entstanden für die Forschung zum Informationsverhalten neue Chancen zur Beobachtung von Nutzenden, aber auch neue methodische Herausforderungen, dieses Verhalten mit dem sonstigen Konsum von Nachrichten und Wissenschaftskommunikation in Bezug zu setzen. Es wird ein Mixed-Methods-Ansatz aus einer Befragung zur Nutzung und Bewertung von Informationsquellen kombiniert mit Beobachtungen aus einer Nutzungsstudie vorgestellt Für diese wurden in einem Experiment Ergebnislisten verschiedener Web- und Videosuchen als Ausgangspunkt genutzt, um Auswahlmethoden und Qualitätskriterien für Wissenschaftskommunikate zu ermitteln. Beide methodischen Ansätze zeigten, dass die Seriosität und die Bekanntheit einer Quelle eine dominierende Rolle bei Auswahlentscheidungen spielen.

User profiling and role evaluation of government microbloggers in the context of public emergencies

Purpose

This study aims to profile the government microbloggers and evaluate their roles. The results can help improve the governments' response capability to public emergencies.

Design/methodology/approach

This study proposes the user profiling and role evaluation model of government microbloggers in the context of public emergencies. The indicators are designed from the four dimensions of time, content, scale and influence, and the feature labels are identified. Three different public emergencies were investigated, including the West Africa Ebola outbreak, the Middle East respiratory syndrome outbreak and the Shandong vaccine case in China.

Findings

The results found that most government microbloggers were follower responders, short-term participants, originators, occasional participants and low influencers. The role distribution of government microbloggers was highly concentrated. However, in terms of individual profiles, the role of a government microblogger varied with events.

Social implications

The findings can provide a reference for the performance assessment of the government microbloggers in the context of public emergencies and help them improve their ability to communicate with the public and respond to public emergencies.

Originality/value

By analyzing the performance of government microbloggers from the four dimensions of time, content, scale and influence, this paper fills the gap in existing literature on designing the user profiling and role evaluation model of government microbloggers in the context of public emergencies.

Trust in COVID-19 public health information

Understanding the factors that influence trust in public health information is critical for designing successful public health campaigns during pandemics such as COVID-19. We present findings from a cross-sectional survey of 454 US adults-243 older (65+) and 211 younger (18-64) adults-who responded to questionnaires on human values, trust in COVID-19 information sources, attention to information quality, self-efficacy, and factual knowledge about COVID-19. Path analysis showed that trust in direct personal contacts (B = 0.071, p = .04) and attention to information quality (B = 0.251, p < .001) were positively related to self-efficacy for coping with COVID-19. The human value of self-transcendence, which emphasizes valuing others as equals and being concerned with their welfare, had significant positive indirect effects on self-efficacy in coping with COVID-19 (mediated by attention to information quality; effect = 0.049, 95% CI 0.001-0.104) and factual knowledge about COVID-19 (also mediated by attention to information quality; effect = 0.037, 95% CI 0.003-0.089). Our path model offers guidance for fine-tuning strategies for effective public health messaging and serves as a basis for further research to better understand the societal impact of COVID-19 and other public health crises.

Blockchain Framework for Secure COVID-19 Pandemic Data Handling and Protection

COVID-19 pandemic caused global epidemic infections, which is one of the most severe infections in human medical history. In the absence of proper medications and vaccines, handling the pandemic has been challenging for governments and major health facilities. Additionally, tracing COVID-19 cases and handling data generated from the pandemic are also extremely challenging. Data privacy access and collection are also a challenge when handling COVID-19 data. Blockchain technology provides various features such as decentralization, anonymity, cryptographic security, smart contracts, and a distributed framework that allows users and entities to handle COVID-19 data better. Since the outbreak has made the moral crisis in the clinical and administrative centers worse than any other that has resulted in the decline in the supply of the exact information, however, it is vital to provide fast and accurate insight into the situation. As a result of all these concerns, this study emphasizes the need for COVID-19 data processing to acquire aspects such as data security, data integrity, real-time data handling, and data management to provide patients with all benefits from which they had been denied owing to misinformation. Hence, the management of COVID-19 data through the use of the blockchain framework is crucial. Therefore, this paper illustrates how blockchain technology can be implemented in the COVID-19 data handling process. The paper also proposes a framework with three main layers: data collection layer; data access and privacy layer; and data storage layer.

Modeling the formation of the public's information needs in the early stage of the COVID-19 outbreak

Purpose

This study aims to investigate how the public formed their need for information in the early stage of the COVID-19 outbreak. Exploring the formation of information needs can reveal why the public's information needs differ and provide insights on targeted information service during health crises at an essential level.

Design/methodology/approach

The data were collected through semi-structured interviews with 46 participants and analyzed using the grounded theory approach. Concepts, sub-categories and categories were developed, and a model was built to examine how the public formed the need for information about the pandemic.

Findings

The authors found that participants were stimulated by information asymmetry, severity of the pandemic and regulations to control the pandemic, which triggered their perceptions of information credibility, threat and social approval. After the participants perceived that there was a threat, it activated their basic needs and they actively formed the need for information based on cognitive activities. Moreover, information delivered by different senders resulted in a passive need for information. Participants' individual traits also influenced their perceptions after being stimulated.

Research limitations/implications

Long-term follow-up research is needed to help researchers identify more detailed perspectives and do comparative studies. Besides, this study conducted interviews through WeChat voice calls and telephone calls, and might be limited compared with face-to-face interviews.

Practical implications

The findings of this study provide theoretical contributions to the information needs research and practical implications for information services and public health management.

Originality/value

There is little systematic research on how the public formed information needs in the early stage of the COVID-19 outbreak.

The width and depth of literacies for tackling the COVID-19 infodemic

Purpose

A wide choice of varied information and data-based tools is reviewed in order to determine their ability treating symptoms of the COVID-19 infodemic. Several literacies and derived literacies, presumably having the ability to fulfil these roles are enumerated. There is also a review of the impact of applying deconstruction, understanding, and anticipation as well as of tools for mitigating overload phenomena, and communication overload.

Design/methodology/approach

The article reviews literacies deemed to promise reducing the impact of the information crisis, caused by the COVID-19 pandemic.

Findings

A non-exhaustive review of literature, taken from sources of varied disciplines, resulting from reverse snowballing and forward citation mining confirmed that there is a wide choice of solutions from among literacies, derived literacies and other approaches that have the potential to combat annoyance and anxiety, caused by the infodemic.

Originality/value

No other, published research has looked at such a wide range of literacies and derived literacies, as well as other, related approaches linked them to the COVID-19 infodemic.

Online information and support seeking during COVID-19 lockdown in Wuhan: implications for health promotion

The lockdown that was deployed in Wuhan, China to combat the COVID-19 pandemic curbed the infection but also created great information challenges for people in social isolation. This resulted in surge in online health information seeking (OHIS) behaviors of the patients and their families. While the Internet has been widely used by Chinese public to access and search health information, there is relatively little research in the context of pandemic outbreaks, especially at the onset of a strong lockdown while many people were panicking. From a total of 10 908 ‘#COVID-19 Patient Seeking Help’ posts on Weibo in a period of 20 days when the lockdown policy was first initiated, we identified 1496 unique patients living in or with family in Wuhan, China. Using textual analysis, we explored OHIS behaviors at the onset of the pandemic. Many faced increased difficulties accessing offline healthcare services and such turned to social media for help and information. In particular, the findings highlight the following themes: ‘OHIS for medical treatment’, ‘OHIS to manage self-quarantine’, ‘OHIS for tangible support’ and ‘OHIS to navigate information discrepancy’. Overall, our findings provide important insights into health information seeking behaviors and the role of social media during a pandemic. Our findings also highlight the importance of considering people’s information need and challenges created due to the lockdown policies in the future pandemic communication and preparedness.

Twitter use by the dementia community during COVID-19: a user classification and social network analysis

Purpose

The study aimed to examine how different communities concerned with dementia engage and interact on Twitter.

Design/methodology/approach

A dataset was sampled from 8,400 user profile descriptions, which was labelled into five categories and subjected to multiple machine learning (ML) classification experiments based on text features to classify user categories. Social network analysis (SNA) was used to identify influential communities via graph-based metrics on user categories. The relationship between bot score and network metrics in these groups was also explored.

Findings

Classification accuracy values were achieved at 82% using support vector machine (SVM). The SNA revealed influential behaviour on both the category and node levels. About 2.19% suspected social bots contributed to the coronavirus disease 2019 (COVID-19) dementia discussions in different communities.

Originality/value

The study is a unique attempt to apply SNA to examine the most influential groups of Twitter users in the dementia community. The findings also highlight the capability of ML methods for efficient multi-category classification in a crisis, considering the fast-paced generation of data.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0208.

Research knowledge utilisation for societal impact: Information practices based on abductive topic modelling

Information science researchers are increasingly seeking to understand the utilisation of knowledge generated through scientific research outside of academia. Although the conceptual levels of knowledge utilisation are well established, our understanding of the various information practices for knowledge utilisation employed by researchers remains limited. This study identified such information practices by text-mining 6637 case studies documented under the United Kingdom’s Research Excellence Framework. The results were augmented with expert judgement to develop a framework consisting of nine types based on the theoretical framework of research knowledge utilisation. Three emerging types were identified: deliberation, co-creation and foresighting. They indicate the rise of information practices leveraging social media and analytical capabilities to engage potential beneficiaries in using and realising the value of research.

Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study

This study is informed by two research gaps. One, Artificial Intelligence's (AI's) Machine Learning (ML) techniques have the potential to help separate information and misinformation, but this capability has yet to be empirically verified in the context of COVID-19. Two, while older adults can be particularly susceptible to the virus as well as its online infodemic, their information processing behaviour amid the pandemic has not been understood. Therefore, this study explores and understands how ML techniques (Study 1), and humans, particularly older adults (Study 2), process the online infodemic regarding COVID-19 prevention and cure. Study 1 employed ML techniques to classify information and misinformation. They achieved a classification accuracy of 86.7% with the Decision Tree classifier, and 86.67% with the Convolutional Neural Network model. Study 2 then investigated older adults' information processing behaviour during the COVID-19 infodemic period using some of the posts from Study 1. Twenty older adults were interviewed. They were found to be more willing to trust traditional media rather than new media. They were often left confused about the veracity of online content related to COVID-19 prevention and cure. Overall, the paper breaks new ground by highlighting how humans' information processing differs from how algorithms operate. It offers fresh insights into how during a pandemic, older adults-a vulnerable demographic segment-interact with online information and misinformation. On the methodological front, the paper represents an intersection of two very disparate paradigms-ML techniques and interview data analyzed using thematic analysis and concepts drawn from grounded theory to enrich the scholarly understanding of human interaction with cutting-edge technologies.

The Dispersion of Health Information Seeking Behavior and Health Literacy in a State in the Southern United States: A Cross-Sectional Study (Preprint)

Background

Objective

Methods

Results

Conclusions

The causes, impacts and countermeasures of COVID-19 "Infodemic": A systematic review using narrative synthesis

An unprecedented infodemic has been witnessed to create massive damage to human society. However, it was not thoroughly investigated. This systematic review aims to (1) synthesize the existing literature on the causes and impacts of COVID-19 infodemic; (2) summarize the proposed strategies to fight with COVID-19 infodemic; and (3) identify the directions for future research. A systematic literature search following the PRISMA guideline covering 12 scholarly databases was conducted to retrieve various types of peer-reviewed articles that reported causes, impacts, or countermeasures of the infodemic. Empirical studies were assessed for risk of bias using the Mixed-Methods Appraisal Tool. A coding theme was iteratively developed to categorize the causes, impacts, and countermeasures found from the included studies. Social media usage, low level of health/eHealth literacy, and fast publication process and preprint service are identified as the major causes of the infodemic. Besides, the vicious circle of human rumor-spreading behavior and the psychological issues from the public (e.g., anxiety, distress, fear) emerges as the characteristic of the infodemic. Comprehensive lists of countermeasures are summarized from different perspectives, among which risk communication and consumer health information need/seeking are of particular importance. Theoretical and practical implications are discussed and future research directions are suggested.

Understanding the effects of message cues on COVID-19 information sharing on Twitter

Analyzing and documenting human information behaviors in the context of global public health crises such as the COVID‐19 pandemic are critical to informing crisis management. Drawing on the Elaboration Likelihood Model, this study investigates how three types of peripheral cues—content richness, emotional valence, and communication topic—are associated with COVID‐19 information sharing on Twitter. We used computational methods, combining Latent Dirichlet Allocation topic modeling with psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count dictionary to measure these concepts and built a research model to assess their effects on information sharing. Results showed that content richness was negatively associated with information sharing. Tweets with negative emotions received more user engagement, whereas tweets with positive emotions were less likely to be disseminated. Further, tweets mentioning advisories tended to receive more retweets than those mentioning support and news updates. More importantly, emotional valence moderated the relationship between communication topics and information sharing—tweets discussing news updates and support conveying positive sentiments led to more information sharing; tweets mentioning the impact of COVID‐19 with negative emotions triggered more sharing. Finally, theoretical and practical implications of this study are discussed in the context of global public health communication.

Human information behavior during the Covid-19 health crisis. A literature review

The research carried out on human information behavior (HIB) during the Covid-19 health crisis was reviewed, with the premise that HIB and information practices allow humans to adapt to the changing circumstances of existence. A literature search was run on the LISTA and Google Scholar databases from middle March 2020 up to the end of March 2021. After filtering retrieved results, 52 studies were selected. Results are summarized into seven main themes, including the use of traditional and social media, infoveillance of search engines and social media activity, misinformation, disinformation and infodemics, and uncertainty and emotions. Results point to the need to carry out additional research in specific contexts and addressing vulnerable and marginalized groups. Further areas of inquiry include the interplay of emotions, knowledge and behaviors during the information seeking process, a better understanding of local knowledge and experiential knowledge, and the need to comprehend the limitations of ICT.

Exploring information seeking of rural older adults during the COVID-19 pandemic

Purpose

This study investigates the impact of the COVID-19 pandemic on the types and sources of information sought by older adults along with their motivations in the Midwestern United States.

Design/methodology/approach

Interviews were conducted with 30 older adults residing in rural communities around the Midwestern United States during late-summer (July/August) 2020, using a protocol based on Dervin's Sense-Making Methodology. The resulting data was analyzed using standard content analysis procedures, guided by the theoretical frameworks based on Dervin's Sense-Making and Williamson's Ecological Model of Information Behavior. Implications of COVID-19 for the normative behaviors described in these models are discussed.

Findings

Findings show that older adults were concerned primarily with health and political information during this period, but that this information was not necessarily sought only to address an informational need, but also to satisfy the need to maintain social and emotional connections in coping with isolation and loneliness. Sources of information that allowed for social interaction with people were favored. Wider personal networks (community members) were strained by the social distancing measures and closures. These findings have theoretical and practical implications for considering the impact of social restrictions on information seeking behaviors of older adults in a time of crisis.

Originality/value

This study is the first, known to the authors, that applied the two adopted theoretical frameworks to explore information seeking behaviors of older adults during the COVID-19 pandemic.

Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter

Correcting misconceptions and false beliefs are important for injecting reliable information about COVID-19 into public discourse, but what impact does this have on the continued proliferation of misinforming claims? Fact-checking organisations produce content with the aim of reducing misinformation spread, but our knowledge of its impact on misinformation for particular topics and demographics is limited. In this article, we explore the relation between misinformation and fact-checking spread during the COVID-19 pandemic for different topics, user demographics and attributes. We specifically follow misinformation and fact-checks emerging from December 2019 until the 4th of January 2021 on Twitter. Using a combination of spread variance analysis, impulse response modelling and causal analysis, we highlight the bidirectional, weak causation spread behaviour between misinformation and fact-checks. Although we observe that fact-checks about COVID-19 are appearing fairly quickly after misinformation is circulated, its ability to reduce overall misinformation spread appears to be limited. This is especially visible for misinformation about conspiracy theories and the causes of the virus.

Revisiting food delivery apps during COVID-19 pandemic? Investigating the role of emotions

Food delivery apps (FDAs) have transformed the way consumers order and consume food, especially during the mobility limitations of the COVID-19 pandemic. The hospitality industry, especially restaurants are heavily reliant on mobile technology during the pandemic to strengthen essential online to offline food delivery, helping large number of consumers. This study investigates the role of app aesthetics in evoking emotions which predict continued usage intentions for FDAs using the theoretical lens of the pleasure arousal dominance (PAD) framework. Data was collected from 341 consumers during the pandemic. Findings indicate that app aesthetics generate pleasure, arousal, and dominance emotions among consumers during pandemic where pleasure is the most significant predictor of continued usage intentions followed by dominance. Findings also confirm the mediating effect of arousal on pleasure and pleasure on continued usage intentions. The study has implications for academicians, food delivery companies, app designers and other app-based businesses as it proves the significance of an aesthetic app design in evoking positive PAD emotions in consumers during a crisis and strengthens the explanation of continued usage intentions.

Understanding citizen engagement and concerns about the COVID-19 pandemic in China: a thematic analysis of government social media

Purpose

In crises such as the coronavirus disease 2019 (COVID-19) pandemic, governments need to act in time to lead citizens toward rational reactions and disclose information effectively to the public. This paper aims to understand the content published by the government and identify how citizen engagement relates to content type and emotional valence.

Design/methodology/approach

The grounded theory approach was adopted and nine types of content posted by the government were observed. The data were obtained from “People's Daily”, an official Sina Weibo account representing the voice of the Chinese government, from January 3 to June 22 in 2020.

Findings

The analysis shows that information related to emotional support and social mobilization were the most reposted, while those mentioning immoral and illegal incidents were the most liked and commented. Also, it was found that positive posts tend to attract more likes, yet with fewer reposts than neutral posts.

Originality/value

The authors adopted thematic analysis and focused on the impact of post content and valence on user participation behavior. This study expands the existing literature. The government can improve crises management capability by learning about citizen engagement behaviors on social media.

Understanding Consumer Stockpiling during the COVID-19 Outbreak through the Theory of Planned Behavior

We use the theory of planned behavior (TPB) to investigate determinants of stockpiling behavior during the COVID-19 lockdown. We analyzed 518 responses to an online survey and used Partial Least Squares Path Modeling (PLS-PM) techniques to estimate relationships between variables. Negative attitude (perceived barriers) and others’ behavior (descriptive social norms) were revealed as significant predictors for both intention to over-purchase and the actual stockpiling behavior. The lack of significance obtained for perceived behavioral control (PBC) is also an important result, strengthening the evidence that factors’ contribution to TPB’s predictive power is strongly context-dependent, respectively that PBC is less relevant in settings dominated by uncertainty. The lack of significance is especially compelling when stockpiling behavior is regarded as deviant conduct from effective consumption. Our findings expand the understanding on the applicability of TPB and offer informed practical suggestions for improving managerial strategies, public and private ones, during extreme events when self-regulation and cognitive control are expedient but hard to achieve.

Creation, dissemination and mitigation: toward a disinformation behavior framework and model

Purpose

This paper seeks to disambiguate the phenomenon by clarifying terms, highlighting current efforts, including the importance of critical thought and awareness, and a test for genuine serendipity.

Design/methodology/approach

The authors review the literature, primarily from a library and information science perspective, and arrive at a theoretical framework and model.

Findings

The authors find various initiatives to fight fake news. Building upon Karlova and Fisher's (2013) model as well as research on critical thinking and serendipity, the primary contribution of the paper is a disinformation behavior framework and model. The model includes both the problem of disinformation from a creator and user perspective, as well as the solutions to fight it.

Research limitations/implications

The framework will guide practitioners and researchers in library and information science and beyond, as well as other stakeholders in both understanding the phenomenon, and leading the fight against it.

Originality/value

The spreading of false information has become an alarming phenomenon in the last few years, leading to the popularity of terms such as misinformation, disinformation, infodemic and fake news. While information professionals have been called upon to lead the fight against fake news, in the lack of a comprehensive understanding of the phenomenon, current efforts have been isolated and inadequate. Most models of information behavior deal with information, and not misinformation or disinformation per se.

How older adults in the USA and India seek information during the COVID-19 pandemic: A comparative study of information behavior

The 2020 COVID-19 pandemic introduced significant information challenges for older adults worldwide. Given the widespread disparities in information infrastructure and access between developing and developed countries, the challenges presented during this period may be even more grave in the developing world. This interview study examines how older adults (age 65+) in two countries—the USA and India—experienced information needs, sources, and barriers. The results indicate distinct experiences among the two populations, with individuals in the USA expressing more diverse needs, while Indian respondents focused on the impact of COVID-19. The American respondents also indicated much greater use of Internet resources compared to the Indian respondents, who used television and print resources more frequently. Far more Indian respondents reported significant challenges finding information to satisfy their information needs. The findings of this study have important ramifications for the design of intervention, education, and support for the information-related needs of older adults worldwide.

Remembering COVID-19; or, a duty to document the coronavirus pandemic

Remembering the coronavirus pandemic represents an obligation to the present and the future. Illuminating the intersections between remembrance, documentary heritage, memory institutions and COVID-19, this article argues that libraries, archives and museums have a unique and urgent duty to document the coronavirus pandemic as it unfolds to help ensure that its associated recorded heritage is collected, preserved and archived for the present and future purposes of consultation, reference and remembrance. Explicit ‘duty to document the coronavirus pandemic’ policy provisions should be adopted by libraries, archives and museums to, first, strengthen their current COVID-19 documentary initiatives and, second, support other possible documentary initiatives related to this or future global health crises. By documenting COVID-19, it can be collectively remembered and future possible health crises can be better anticipated.

Radical collaboration during a global health emergency: development of the RDA COVID-19 data sharing recommendations and guidelines

Background: The coronavirus disease 2019 (COVID-19) global pandemic required a rapid and effective response. This included ethical and legally appropriate sharing of data. The European Commission (EC) called upon the Research Data Alliance (RDA) to recruit experts worldwide to quickly develop recommendations and guidelines for COVID-related data sharing. Purpose: The purpose of the present work was to explore how the RDA succeeded in engaging the participation of its community of scientists in a rapid response to the EC request. Methods: A survey questionnaire was developed and distributed among RDA COVID-19 work group members. A mixed-methods approach was used for analysis of the survey data. Results: The three constructs of radical collaboration (inclusiveness, distributed digital practices, productive and sustainable collaboration) were found to be well supported in both the quantitative and qualitative analyses of the survey data. Other social factors, such as motivation and group identity were also found to be important to the success of this extreme collaborative effort. Conclusions: Recommendations and suggestions for future work were formulated for consideration by the RDA to strengthen effective expert collaboration and interdisciplinary efforts.

Digitalization of learning in Saudi Arabia during the COVID-19 outbreak: A survey

Following the outbreak of the novel coronavirus (COVID-19) in China in late December 2019, more than 217 countries became almost immediately infected in the resulting pandemic. Consequently, many of them decided to close their educational institutions as a way of preventing the spread of this virus. For many of them, though, the closure made them unable to deliver learning materials to students owing to their inability to provide the right technology for the purpose. To assist with the digitalizing of learning during this time, this study reviews the most common technologies used in the delivery of learning materials, with the experience of most infected countries being considered. Major challenges in online learning are discussed in this study as well. Further, Saudi Arabia was considered as a case study for the effectiveness of distance learning during the 2020 spring semester, where 300 undergraduate students were surveyed on their opinions of distance learning. The responses to the survey indicated that distance learning was effective in providing the required knowledge to the students during the outbreak of COVID-19. The findings showed that although the lack of interaction and poor internet connections were factors affecting comfortable and successful learning of physics and mathematics, 63% of students were satisfied with learning management systems, 75% of students found it easy to understand course materials, and 67% of students found it easy to understand assignments and could deal with them comfortably. The study findings can encourage educational institutions to digitalize their learning materials in the future.

Forensically reconstructing biomedical maintenance labor: PDF metadata under the epistemic conditions of COVID-19

This study examines the documents circulated among biomedical equipment repair technicians in order to build a conceptual model that accounts for multilayered temporality in technical healthcare professional communities. A metadata analysis informed by digital forensics and trace ethnography is employed to model the overlapping temporal, format‐related, and annotation characteristics present in a corpus of repair manual files crowdsourced during collaborations between volunteer archivists and professional technicians. The corpus originates within iFixit.com's Medical Device Repair collection, a trove of more than 10,000 manuals contributed by working technicians in response to the strain placed on their colleagues and institutions due to the COVID‐19 pandemic. The study focuses in particular on the Respiratory Analyzer subcategory of documents, which aid in the maintenance of equipment central to the care of COVID‐19 patients experiencing respiratory symptoms. The 40 Respiratory Analyzer manuals in iFixit's collection are examined in terms of their original publication date, the apparent status of their original paper copies, the version of PDF used to encode them, and any additional metadata that is present. Based on these characteristics, the study advances a conceptual model accounting for circulation among multiple technicians, as well as alteration of documents during the course of their lifespans.

COVID-19, a tale of two pandemics: novel coronavirus and fake news messaging

The emergence of COVID-19, caused by novel Coronavirus SARS-CoV-2, became a pandemic in just 10 weeks. Without effective medications or vaccines available, authorities turned toward mitigation measures such as use of face masks, school's closings, shelter-in-place, telework and social distancing. People found refuge on the internet and social media apps; however, there was a proliferation of instant messaging containing hoaxed, deliberate misleading information: fake news messaging (FNM). The aim of this study was to assess FNM through content analysis and to discriminate them in a proposed taxonomy structure. A sample of convenience of messages, memes, tweets or cartoons in several languages was selected from the most popular social media outlets, i.e. Facebook, WhatsApp, Twitter etc. More than 300 FNM were identified. Descriptive statistics were used for highlighting potential relationships between variables. Content analysis determined that FNM could be divided into Health- and non-health-related types. There are several sub-types considering, but not limited to, religious beliefs, politics, economy, nutrition, behaviors, prevention of the infection, the origin of the disease and conspiracy theories. The parallel FNM pandemic affected the response from an already debilitated public health system through the confusion created in the community and the erosion in the credibility of genuine media. Public health practitioners had to face people's unpredictable behaviors, panic, tensions with the communities and, in some cases, a hostile climate toward frontline workers. Public health practitioners must adjust ongoing and future health promotion and education interventions including plans to neutralize fake news messages.

Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors During the COVID-19 Pandemic in Hong Kong: Cross-sectional Study

Background

eHealth literacy can potentially facilitate web-based information seeking and taking informed measures.

Objective

This study aimed to evaluate socioeconomic disparities in eHealth literacy and seeking of web-based information on COVID-19, and their associations with COVID-19 preventive behaviors.

Methods

The COVID-19 Health Information Survey (CoVHIns), using telephonic (n=500) and web-based surveys (n=1001), was conducted among adults in Hong Kong in April 2020. The Chinese eHealth literacy scale (eHEALS; score range 8-40) was used to measure eHealth literacy. COVID-19 preventive behaviors included wearing surgical masks, wearing fabric masks, washing hands, social distancing, and adding water or bleach to the household drainage system. Adjusted beta coefficients and the slope indices of inequality for the eHEALS score by socioeconomic status, adjusted odds ratios (aORs) for seeking of web-based information on COVID-19 by socioeconomic status, and aORs for the high adherence to preventive behaviors by the eHEALS score and seeking of web-based information on COVID-19 were calculated.

Results

The mean eHEALS score was 26.10 (SD 7.70). Age was inversely associated with the eHEALS score, but education and personal income were positively associated with the eHEALS score and seeking of web-based information on COVID-19 (for all, P for trend<.05). Participants who sought web-based information on COVID-19 showed high adherence to the practice of wearing surgical masks (aOR 1.56, 95% CI 1.15-2.13), washing hands (aOR 1.33, 95% CI 1.05-1.71), social distancing (aOR 1.48, 95% CI 1.14-1.93), and adding water or bleach to the household drainage system (aOR 1.67, 95% CI 1.28-2.18). Those with the highest eHEALS score displayed high adherence to the practice of wearing surgical masks (aOR 3.84, 95% CI 1.63-9.05), washing hands (aOR 4.14, 95% CI 2.46-6.96), social distancing (aOR 2.25, 95% CI 1.39-3.65), and adding water or bleach to the household drainage system (aOR 1.94, 95% CI 1.19-3.16), compared to those with the lowest eHEALS score.

Conclusions

Chinese adults with a higher socioeconomic status had higher eHealth literacy and sought more web-based information on COVID-19; both these factors were associated with a high adherence to the guidelines for preventive behaviors during the COVID-19 pandemic.

Documenting social justice in library and information science research: a literature review

Purpose

The purpose of this study is to provide an overview of social justice research in library and information science (LIS) literature in order to identify the research quantity, what populations or settings were included and future directions for this area of the discipline through examination of when related research was published, what contexts it covered and what contributions LIS researchers have made in this research area.

Design/methodology/approach

This study reviews results from two LIS literature databases—Library, Information Science and Technology Abstracts (LISTA) and Library and Information Science Source (LISS)—that use the term “social justice” in title, abstract or full text to explicitly or implicitly describe their research.

Findings

This review of the literature using the term social justice to describe LIS research recognizes the significant increase in quantities of related research over the first two decades of the 21st century as well as the emergence of numerous contexts in which that research is situated. The social justice research identified in the literature review is further classified into two primary contribution categories: indirect action (i.e. steps necessary for making change possible) or direct action (i.e. specific steps, procedures and policies to implement change).

Research limitations/implications

The findings of this study provide a stronger conceptualization of the contributions of existing social justice research through examination of past work and guides next steps for the discipline.

Practical implications

The conceptualizations and related details provided in this study help identify gaps that could be filled by future scholarship.

Originality/value

While social justice research in LIS has increased in recent years, few studies have explored the landscape of existing research in this area.