Individuals seek information for informed decision-making, and they consult a variety of information sources nowadays. However, studies show that information from multiple sources can lead to information overload, which then creates negative psychological and behavioral responses. Drawing on the Stimulus-Organism-Response (S-O-R) framework, we propose a model to understand the effect of information seeking, information sources, and information overload (Stimuli) on information anxiety (psychological organism), and consequent behavioral response, information avoidance during the global health crisis (COVID-19). The proposed model was tested using partial least square structural equation modeling (PLS-SEM) for which data were collected from 321 Finnish adults using an online survey. People found to seek information from traditional sources such as mass media, print media, and online sources such as official websites and websites of newspapers and forums. Social media and personal networks were not the preferred sources. On the other hand, among different information sources, social media exposure has a significant relationship with information overload as well as information anxiety. Besides, information overload also predicted information anxiety, which further resulted in information avoidance.

From information seeking to information avoidance: Understanding the health information behavior during a global health crisis

This study investigated consumers’ information-avoidance behavior in the context of a public health emergency—the COVID-19 pandemic in China. Guided by the stimulus-organism-response paradigm, it proposes a model for exploring the effects of external stimuli (perceived threat and perceived information overload) related to COVID-19 on consumers’ internal states (sadness, anxiety, and cognitive dissonance) and their subsequent behavioral intentions to avoid health information and engage in preventive behaviors. With a survey sample (N = 721), we empirically examined the proposed model and tested the hypotheses. The results indicate that sadness, anxiety, and cognitive dissonance, which were a result of perceived threat and perceived information overload, had heterogeneous effects on information avoidance. Anxiety and cognitive dissonance increased information avoidance intention, while sadness decreased information avoidance intention. Moreover, information avoidance predicted a reluctance on the part of consumers to engage in preventive behaviors during the COVID-19 pandemic. These findings not only contribute to the information behavior literature and extend the concept of information avoidance to a public health emergency context, but also yield practical insights for global pandemic control.

What motivates Chinese consumers to avoid information about the COVID-19 pandemic?: The perspective of the stimulus-organism-response model

Although leveraging social media to access healthcare information is nothing new, a boom in short video apps offers new potential for disseminating health-related information. However, it is still unclear how short video apps might facilitate and benefit users’ consumption of health information. Furthermore, the technology features of short video apps complicate attempts to conduct research about them; as a consequence, they have been understudied. For addressing these concerns, this study adopts an affordance perspective to investigate the relationship between affordances and user experience and to examine factors that contribute to users’ intention to continue using short video apps to obtain health information.,Drawing upon affordance theory, we constructed a research model that integrates four types of affordances (livestreaming, searching, meta-voicing and recommending), three types of user experience (immersion, social presence and credibility perception), and user’s intention to continue use. We employed an online survey and obtained a sample of 372 valid responses from TikTok (DouYin) users in China. The partial least squares (PLS) method was used to analyze the data.,The study found that the user experience, in terms of social presence, immersion and credibility perception, can significantly predict users’ intention to continue using short video apps to obtain health information. Furthermore, the user experience was positively associated with the different affordances provided by the short video apps.,The findings of this study have several implications. First, the study contributes to the health information behavior literature by incorporating the aspect of user experience. Moreover, the study extends the application of affordance theory to users’ health information acquisition, and it carries some practical implications on how to leverage the great potential of short video apps to serve public health communication better.

Short video apps as a health information source: an investigation of affordances, user experience and users’ intention to continue the use of TikTok

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.

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

Science is frequently used and distorted to advance political, economic, or cultural agendas. The politicization of science can limit the positive impacts that scientific advances can offer when people reject sound and beneficial scientific advice. Politicization has undoubtedly contributed to hesitancy toward uptake of the COVID-19 vaccine. It is urgent for scientists and clinicians to better understand: (1) the roots of politicization as related to COVID-19 vaccines; (2) the factors that influence people's receptivity to scientific misinformation in politicized contexts; and (3) how to combat the politicization of science to increase the use of life-saving vaccines. This chapter explores these issues in the context of COVID-19 vaccine resistance in the United States. After briefly describing the development of the vaccines, we describe the ways in which the disease itself became politicized because of statements by political leaders and also by media accounts including social media. We then review the politicization of the vaccine at both national and international scales, variability in public acceptance of the vaccines in the United States, and response to the emergence of variants. The next section summarizes social science findings on overcoming vaccine resistance, and the concluding section outlines some of the lessons of the politicization of the disease and the vaccine for health practitioners and life scientists. 

Politicization and COVID-19 vaccine resistance in the U.S.

Information needs motivate human information behavior. Knowledge of information needs is critical for user-centered information behavior research and system design. In consumer health information behavior research, there is a lack of understanding of how consumer health information needs (CHIN) is measured in empirical studies. This study is a systematic review of empirical quantitative studies on CHIN, with a focus on how CHIN is defined and operationalized. A search of six academic databases and citation-track of relevant articles identified a total of 216 relevant articles. These articles were analyzed using the qualitative content analysis method. We found that few included articles explicitly defined either CHIN or information needs in general. When definitions were given, they were from a cognitive perspective and largely ignored the multidimensionality of the concept. Consistent with this cognitive-centered conceptualization, CHIN was operationalized primarily as information topics, with some articles also measuring several additional attributes, including level of importance, fulfilment, amount of information needed, and frequency of needs. These findings suggest that CHIN is undertheorized. To address this gap, future studies should attend to social and emotional dimensions of CHIN, such as motivations, goals, activities, and emotions. Further, more research is needed to understand how CHIN is related to consumer health information seeking behavior and to the social and environmental context in which the needs arise.

Consumer health information needs: A systematic review of measures

Background: The COVID-19 infodemic has been disseminating rapidly on social media and posing a significant threat to people’s health and governance systems.
Objective: This study aimed to investigate and analyze posts related to COVID-19 misinformation on major Chinese social media platforms in order to characterize the COVID-19 infodemic.
Methods: We collected posts related to COVID-19 misinformation published on major Chinese social media platforms from January 20 to May 28, 2020, by using PythonToolkit. We used content analysis to identify the quantity and source of prevalent posts and topic modeling to cluster themes related to the COVID-19 infodemic. Furthermore, we explored the quantity, sources, and theme characteristics of the COVID-19 infodemic over time.
Results: The daily number of social media posts related to the COVID-19 infodemic was positively correlated with the daily number of newly confirmed (r=0.672, P<.01) and newly suspected (r=0.497, P<.01) COVID-19 cases. The COVID-19 infodemic showed a characteristic of gradual progress, which can be divided into 5 stages: incubation, outbreak, stalemate, control, and recovery. The sources of the COVID-19 infodemic can be divided into 5 types: chat platforms (1100/2745, 40.07%), video-sharing platforms (642/2745, 23.39%), news-sharing platforms (607/2745, 22.11%), health care platforms (239/2745, 8.71%), and Q&A platforms (157/2745, 5.72%), which slightly differed at each stage. The themes related to the COVID-19 infodemic were clustered into 8 categories: “conspiracy theories” (648/2745, 23.61%), “government response” (544/2745, 19.82%), “prevention action” (411/2745, 14.97%), “new cases” (365/2745, 13.30%), “transmission routes” (244/2745, 8.89%), “origin and nomenclature” (228/2745, 8.30%), “vaccines and medicines” (154/2745, 5.61%), and “symptoms and detection” (151/2745, 5.50%), which were prominently diverse at different stages. Additionally, the COVID-19 infodemic showed the characteristic of repeated fluctuations.
Conclusions: Our study found that the COVID-19 infodemic on Chinese social media was characterized by gradual progress, videoization, and repeated fluctuations. Furthermore, our findings suggest that the COVID-19 infodemic is paralleled to the propagation of the COVID-19 epidemic. We have tracked the COVID-19 infodemic across Chinese social media, providing critical new insights into the characteristics of the infodemic and pointing out opportunities for preventing and controlling the COVID-19 infodemic.

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Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study.

• Empathy work as a key mechanism of information processing in human-AI interaction. • Five types of Replika experiences among Chinese female users are found. • Varying degrees of cognitive empathy, affective empathy and empathic response are involved in human-AI interaction. • Mediated empathy facilitates resilience processes and enhance well-being. • Implications for global recovery from the COVID-19 pandemic are discussed. 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. 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428597

Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic

Identifying health information needs is an important part of user-centered health information behavior research. Qualitative information behavior studies yield deep insights but have limited generalizability. Quantitative studies using questionnaire instruments offer better generalizability, but only if the instruments are properly developed and validated. A systematic review of the questionnaire instruments used in quantitative studies of health information needs was carried out, focusing on whether the instruments were appropriately developed and validated (including content validity, internal consistency, structural validity, construct validity, and floor and ceiling effects). The questionnaire instruments were grouped into two types: those that assess consumer health information needs, and those that assess patient needs that impact patient quality of life (including health information needs). One hundred and seventeen validation studies for these instruments were identified in the literature and evaluated for their methodological quality and psychometric properties. It was found that, overall, the two groups of questionnaire instruments were not well developed: only structural validity, internal consistency tests and content validity analysis were performed in about 50 percent of them; other types of validations were missing in most of them. Even for the instruments with some validation tests performed, they were usually not designed based on relevant theory to support content validity, lacked specifications for handling missing data; and had inappropriate factor analysis in the structural validity test. Instruments used for assessing patient needs were found to perform better in testing construct validity and evaluating floor and ceiling effects. Practical recommendations include the use of information needs theories and the results of qualitative studies to inform instrument development, as well as the advice on conducting more rigorous validations.

Wenjing Pian

Papers

Consumer health information needs: A systematic review of measures

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

Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study.

Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic

Consumer health information needs: A systematic review of instrument development