Query：
学者姓名：骈文景
Refining：
Year
Type
Indexed by
Source
Complex
Co-
Language
Clean All
Abstract ：
Cyberchondria, involving the excessive and compulsive seeking of health information, has garnered escalating attention in recent years. One model proposes cyberchondria as an addictive behavior, and craving is considered a key driver of addictive behaviors. However, craving has yet to be systematically studied in the context of cyberchondria. Therefore, this study aimed to conceptualize a contruct of health information craving, develop, and validate a health information craving scale, intended for subsequent empirical examinations in the context of cyberchondria. We employed a rigorous multi-step procedure for scale development and validation, conducting three separate studies with 1633 participants. The resulting scale of health information craving exhibited a multi-dimensional structure with positive and negative reinforcing sub-scales, as confirmed through diverse reliability and validity assessments. As expected, the scale demonstrated a positive relationship with individuals' cyberchondria, thus providing support for the nomological validity of the developed scale. Furthermore, the findings suggest that health information craving should be considered a related but distinct concept from another similar concept, health information need, thereby offering further support for its operationalization. Theoretical and practical implications are discussed.
Keyword ：
Addictive behaviors Addictive behaviors Compulsive behaviors Compulsive behaviors Cyberchondria Cyberchondria Health information craving Health information craving Health information need Health information need Scale development and validation Scale development and validation
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Pian, Wenjing , Zheng, Ruinan , Potenza, Marc N. et al. Health information craving: Conceptualization, scale development and validation [J]. | INFORMATION PROCESSING & MANAGEMENT , 2024 , 61 (4) . |
| MLA | Pian, Wenjing et al. "Health information craving: Conceptualization, scale development and validation" . | INFORMATION PROCESSING & MANAGEMENT 61 . 4 (2024) . |
| APA | Pian, Wenjing , Zheng, Ruinan , Potenza, Marc N. , Chen, Lijun , Ma, Feicheng . Health information craving: Conceptualization, scale development and validation . | INFORMATION PROCESSING & MANAGEMENT , 2024 , 61 (4) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Cyberchondria during the COVID-19 pandemic has posed significant challenges to public wellbeing. Previous lstudies have implicated perceived health risk in COVID-19-related cyberchondria. However, the effect of perceived COVID-19 health risk on cyberchondria and potential underlying mechanisms remains unclear. In this study, we developed a model based on the general addictive behavior framework of the I-PACE (Interaction-Person-Affect-CognitionExecution) model to describe how induction of health risk of COVID-19 resurgence may influence individual tendencies regarding COVID-19-related cyberchondria. Through a scenario-based experiment, we tested this model with a balanced sample of 984 participants from China. The results revealed that the effect of induction of health risk of COVID-19 resurgence on tendencies regarding COVID-19-related cyberchondria was fully mediated by individual's risk perception and health information craving. Additionally, moderation analysis showed that an individual's general inhibitory control did not moderate the development of cyberchondria. Theoretical and practical implications are provided.
Keyword ：
Addictive behavior Addictive behavior COVID-19 COVID-19 Cyberchondria Cyberchondria Health information craving Health information craving Health-information seeking Health-information seeking
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Pian, Wenjing , Chen, Lijun , Potenza, Marc N. et al. How health risk of COVID-19 resurgence may trigger individual tendencies regarding COVID-19-related cyberchondria: Investigating the I-PACE model [J]. | INFORMATION PROCESSING & MANAGEMENT , 2024 , 61 (4) . |
| MLA | Pian, Wenjing et al. "How health risk of COVID-19 resurgence may trigger individual tendencies regarding COVID-19-related cyberchondria: Investigating the I-PACE model" . | INFORMATION PROCESSING & MANAGEMENT 61 . 4 (2024) . |
| APA | Pian, Wenjing , Chen, Lijun , Potenza, Marc N. , Zheng, Ruinan , Ma, Feicheng . How health risk of COVID-19 resurgence may trigger individual tendencies regarding COVID-19-related cyberchondria: Investigating the I-PACE model . | INFORMATION PROCESSING & MANAGEMENT , 2024 , 61 (4) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Large language models (LLMs) can generate personas based on prompts that describe the target user group. To understand what kind of personas LLMs generate, we investigate the diversity and bias in 450 LLM-generated personas with the help of internal evaluators (n=4) and subject-matter experts (SMEs) (n=5). The research findings reveal biases in LLM-generated personas, particularly in age, occupation, and pain points, as well as a strong bias towards personas from the United States. Human evaluations demonstrate that LLM persona descriptions were informative, believable, positive, relatable, and not stereotyped. The SMEs rated the personas slightly more stereotypical, less positive, and less relatable than the internal evaluators. The findings suggest that LLMs can generate consistent personas perceived as believable, relatable, and informative while containing relatively low amounts of stereotyping. © 2024 Copyright held by the owner/author(s)
Keyword ：
Computational linguistics Computational linguistics Human computer interaction Human computer interaction Human engineering Human engineering
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Salminen, Joni , Liu, Chang , Pian, Wenjing et al. Deus Ex Machina and Personas from Large Language Models: Investigating the Composition of AI-Generated Persona Descriptions [C] . 2024 . |
| MLA | Salminen, Joni et al. "Deus Ex Machina and Personas from Large Language Models: Investigating the Composition of AI-Generated Persona Descriptions" . (2024) . |
| APA | Salminen, Joni , Liu, Chang , Pian, Wenjing , Chi, Jianxing , Häyhänen, Essi , Jansen, Bernard J. . Deus Ex Machina and Personas from Large Language Models: Investigating the Composition of AI-Generated Persona Descriptions . (2024) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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 resil-ience, 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 commu-nicative 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 com-panion powered by AI, with ethnographic research, in-depth interviews, and grounded theory -based analysis. Findings of this research extend empathy theories from interpersonal communi-cation to human-AI interactions and show five types of digitally mediated empathy among Chi-nese 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 pro-cessing 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 resil-ience as an important component of global recovery from the pandemic, suggestions for future chatbot design, and future research directions are also discussed.
Keyword ：
COVID-19 pandemic COVID-19 pandemic Empathy Empathy Human-AI interaction Human-AI interaction Information processing Information processing Resilience Resilience Well-being Well-being
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Jiang, Qiaolei , Zhang, Yadi , Pian, Wenjing . Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic [J]. | INFORMATION PROCESSING & MANAGEMENT , 2022 , 59 (6) . |
| MLA | Jiang, Qiaolei et al. "Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic" . | INFORMATION PROCESSING & MANAGEMENT 59 . 6 (2022) . |
| APA | Jiang, Qiaolei , Zhang, Yadi , Pian, Wenjing . Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic . | INFORMATION PROCESSING & MANAGEMENT , 2022 , 59 (6) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Background People increasingly use the Internet to seek health information. However, the overall quality of online health information remains low. This situation is exacerbated by the unprecedented "infodemic", which has had negative consequences for patients. Therefore, it is important to understand how users make judgements about health information by applying different judgement criteria. Objective The objective of this study is to determine how patients apply different criteria in their judgement of the quality of online health information during the pandemic. In particular, we investigate whether there is consistency between the likelihood of using a particular judgement criterion and its perceived importance among different groups of users. Methods A cross-sectional survey was conducted in one of the leading hospitals in a coastal province of China with a population of forty million. Combined-strategy sampling was used to balance the randomness and the practicality of the recruiting process. A total of 1063 patients were recruited for this study. Chi-square and Kruskal-Wallis analyses were used to analyse the survey data. Results In general, patients make quality judgement of health information more frequently based on whether it is familiar, aesthetic, and with expertise. In comparison, they put more weights on whether health information is secure, trustworthy, and with expertise when determining its quality. Criteria that were considered more important were not always those with a higher likelihood of being used. Patients may not use particular criteria, such as familiarity, identification, and readability, more frequently than others even if they consider them to be more important than other do and vice versa. Surprisingly, patients with a primary school degree put more weight on whether health information is comprehensive than those with higher degrees do in determining its quality. However, they are less likely to use this guideline in practice. Conclusions To the best of our knowledge, this is the first study to investigate the consistency between the likelihood of using certain quality judgement criteria and their perceived importance among patients grouped by different demographic variables and eHealth literacy levels. The findings highlight how to improve online health information services and provide fine-grained customization of information for users.
Keyword ：
eHealth literacy eHealth literacy Health information Health information Infodemic Infodemic Information quality Information quality Judgement criteria Judgement criteria Social media Social media
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Pian, Wenjing , Lin, Laibao , Li, Baiyang et al. How users make judgements about the quality of online health information: a cross-sectional survey study [J]. | BMC PUBLIC HEALTH , 2022 , 22 (1) . |
| MLA | Pian, Wenjing et al. "How users make judgements about the quality of online health information: a cross-sectional survey study" . | BMC PUBLIC HEALTH 22 . 1 (2022) . |
| APA | Pian, Wenjing , Lin, Laibao , Li, Baiyang , Qin, Chunxiu , Lin, Huizhong . How users make judgements about the quality of online health information: a cross-sectional survey study . | BMC PUBLIC HEALTH , 2022 , 22 (1) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Ma, Feicheng , Ilhan, Aylin , Feng, Yuanyuan et al. Introduction to the special issue on emerging perspectives on health information needs [J]. | ASLIB JOURNAL OF INFORMATION MANAGEMENT , 2021 , 73 (1) : 1-4 . |
| MLA | Ma, Feicheng et al. "Introduction to the special issue on emerging perspectives on health information needs" . | ASLIB JOURNAL OF INFORMATION MANAGEMENT 73 . 1 (2021) : 1-4 . |
| APA | Ma, Feicheng , Ilhan, Aylin , Feng, Yuanyuan , Pian, Wenjing . Introduction to the special issue on emerging perspectives on health information needs . | ASLIB JOURNAL OF INFORMATION MANAGEMENT , 2021 , 73 (1) , 1-4 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Purpose The purpose of this paper is to explore the features of health misinformation on social media sites (SMSs). The primary goal of the study is to investigate the salient features of health misinformation and to develop a tool of features to help users and social media companies identify health misinformation. Design/methodology/approach Empirical data include 1,168 pieces of health information that were collected from WeChat, a dominant SMS in China, and the obtained data were analyzed through a process of open coding, axial coding and selective coding. Then chi-square test and analysis of variance (ANOVA) were adopted to identify salient features of health misinformation. Findings The findings show that the features of health misinformation on SMSs involve surface features, semantic features and source features, and there are significant differences in the features of health misinformation between different topics. In addition, the list of features was developed to identify health misinformation on SMSs. Practical implications This study raises awareness of the key features of health misinformation on SMSs. It develops a list of features to help users distinguish health misinformation as well as help social media companies filter health misinformation. Originality/value Theoretically, this study contributes to the academic discourse on health misinformation on SMSs by exploring the features of health misinformation. Methodologically, the paper serves to enrich the literature around health misinformation and SMSs that have hitherto mostly drawn data from health websites.
Keyword ：
Exploratory analysis Exploratory analysis Features identification Features identification Health information Health information Health misinformation Health misinformation Social media sites Social media sites WeChat WeChat
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Shuai , Ma, Feicheng , Liu, Yunmei et al. Identifying features of health misinformation on social media sites: an exploratory analysis [J]. | LIBRARY HI TECH , 2021 . |
| MLA | Zhang, Shuai et al. "Identifying features of health misinformation on social media sites: an exploratory analysis" . | LIBRARY HI TECH (2021) . |
| APA | Zhang, Shuai , Ma, Feicheng , Liu, Yunmei , Pian, Wenjing . Identifying features of health misinformation on social media sites: an exploratory analysis . | LIBRARY HI TECH , 2021 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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 char-acteristic 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.
Keyword ：
Cause Cause Countermeasure strategy Countermeasure strategy COVID-19 Infodemic COVID-19 Infodemic Health information needs Health information needs Risk communication Risk communication Rumor Rumor seeking seeking
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Pian, Wenjing , Chi, Jianxing , Ma, Feicheng . The causes, impacts and countermeasures of COVID-19 "Infodemic": A systematic review using narrative synthesis [J]. | INFORMATION PROCESSING & MANAGEMENT , 2021 , 58 (6) . |
| MLA | Pian, Wenjing et al. "The causes, impacts and countermeasures of COVID-19 "Infodemic": A systematic review using narrative synthesis" . | INFORMATION PROCESSING & MANAGEMENT 58 . 6 (2021) . |
| APA | Pian, Wenjing , Chi, Jianxing , Ma, Feicheng . The causes, impacts and countermeasures of COVID-19 "Infodemic": A systematic review using narrative synthesis . | INFORMATION PROCESSING & MANAGEMENT , 2021 , 58 (6) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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.
Keyword ：
China China COVID-19 COVID-19 dissemination dissemination epidemic epidemic exploratory exploratory infodemic infodemic infodemiology infodemiology misinformation misinformation social media social media spread characteristics spread characteristics
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Shuai , Pian, Wenjing , Ma, Feicheng et al. Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study [J]. | JMIR PUBLIC HEALTH AND SURVEILLANCE , 2021 , 7 (2) . |
| MLA | Zhang, Shuai et al. "Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study" . | JMIR PUBLIC HEALTH AND SURVEILLANCE 7 . 2 (2021) . |
| APA | Zhang, Shuai , Pian, Wenjing , Ma, Feicheng , Ni, Zhenni , Liu, Yunmei . Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study . | JMIR PUBLIC HEALTH AND SURVEILLANCE , 2021 , 7 (2) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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.
Keyword ：
Consumer health information needs Consumer health information needs Consumer health information seeking Consumer health information seeking Information needs Information needs
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Pian Wenjing , Song Shijie , Zhang Yan . Consumer health information needs: A systematic review of measures [J]. | INFORMATION PROCESSING & MANAGEMENT , 2020 , 57 (2) . |
| MLA | Pian Wenjing et al. "Consumer health information needs: A systematic review of measures" . | INFORMATION PROCESSING & MANAGEMENT 57 . 2 (2020) . |
| APA | Pian Wenjing , Song Shijie , Zhang Yan . Consumer health information needs: A systematic review of measures . | INFORMATION PROCESSING & MANAGEMENT , 2020 , 57 (2) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
