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学者姓名：骈文景
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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
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| 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) . |
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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
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| 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) . |
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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
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| 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 . |
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| 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 . |
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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
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| 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) . |
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本研究以构建良好的在线医疗健康信息生态为目标,尝试对在线医疗健康信息质量实施科学评价.为实现上述目标,研究通过对现有文献梳理,综合归纳出在线医疗健康信息质量的评价指标体系,并基于证据推理的评价理论与方法对主流医学健康网站的信息质量进行实证评价研究.研究表明,证据推理方法能够有效解决信息的不确定性问题与评价过程的主观性问题,提高评价结果的准确度和可信度,为在线医疗健康网站信息质量的评价提供重要的理论参考.
Keyword ：
信息质量评价 信息质量评价 医疗健康信息 医疗健康信息 证据推理 证据推理
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| GB/T 7714 | 成全 , 王火秀 , 骈文景 . 基于证据推理的医疗健康网站信息质量综合评价研究 [J]. | 数字图书馆论坛 , 2020 , (4) : 53-59 . |
| MLA | 成全 et al. "基于证据推理的医疗健康网站信息质量综合评价研究" . | 数字图书馆论坛 4 (2020) : 53-59 . |
| APA | 成全 , 王火秀 , 骈文景 . 基于证据推理的医疗健康网站信息质量综合评价研究 . | 数字图书馆论坛 , 2020 , (4) , 53-59 . |
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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.
Keyword ：
Consumer health information needs Consumer health information needs Instrument development Instrument development Psychometrics Psychometrics Theory and framework of information needs Theory and framework of information needs
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| GB/T 7714 | Chi, Jianxing , Pian, Wenjing , Zhang, Shuai . Consumer health information needs: A systematic review of instrument development [J]. | INFORMATION PROCESSING & MANAGEMENT , 2020 , 57 (6) . |
| MLA | Chi, Jianxing et al. "Consumer health information needs: A systematic review of instrument development" . | INFORMATION PROCESSING & MANAGEMENT 57 . 6 (2020) . |
| APA | Chi, Jianxing , Pian, Wenjing , Zhang, Shuai . Consumer health information needs: A systematic review of instrument development . | INFORMATION PROCESSING & MANAGEMENT , 2020 , 57 (6) . |
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Introduction. User-contributed information on health-related social media sites contains useful user-experience information that complements information on authoritative health information websites. Though more people are searching and browsing social media sites for health information, there are few studies of user browsing behaviour on these sites, and the factors that affect the behaviour. This study investigated the factors affecting the users' skimming and examining durations when browsing a health discussion forum. Methods. An eye-tracker system was used to record users' eye fixations and eye movements when browsing a health discussion forum, HealthBoards.com. Analysis. Stepwise multiple linear re gression was used to develop models to predict users' skimming and examining durations. Results. The type of health information need context (i.e. browsing for own health issue, browsing for someone else's health issue, and browsing with no particular health issue in mind), the perceived urgency of the health information need, and the length of the health information text were found to be significant predictors of the examining and skimming durations. Demographic factors of gender and age were not significant. Conclusion Future studies of online health information seeking should take these three factors into consideration, and distinguish between browsing two types of screens-the summary screen of document surrogates and the detailed content screen.
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| GB/T 7714 | Pian, Wenjing , Khoo, Christopher S. G. , Li, Gang et al. Factors affecting browsing duration on a health discussion forum: analysis of eye-tracking data [J]. | INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL , 2019 , 24 (1) . |
| MLA | Pian, Wenjing et al. "Factors affecting browsing duration on a health discussion forum: analysis of eye-tracking data" . | INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL 24 . 1 (2019) . |
| APA | Pian, Wenjing , Khoo, Christopher S. G. , Li, Gang , Chi, Jianxing . Factors affecting browsing duration on a health discussion forum: analysis of eye-tracking data . | INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL , 2019 , 24 (1) . |
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Automatic rumor detection for events on online social media has attracted considerable attention in recent years. Usually, the events on social media are divided into several time segments, and for each segment, corresponding text will be converted as vectors for various neural network models to detect rumors. During this process, however, only sentence-level embedding has been considered, while the contextual information at the word level has been largely ignored. To address that issue, in this paper, we propose a novel rumor detection method based on a hierarchical recurrent convolutional neural network, which integrates contextual information for rumor detection. Specifically, with dividing events on social media into time segments, recurrent convolution neural network is adapted to learn the contextual representation information. Along this line, a bidirectional GRU network with attention mechanism is integrated to learn the time period information via combining event feature vectors. Experiments on real-world data sets validate that our solution could outperform several state-of-the-art methods. © 2019, Springer Nature Switzerland AG.
Keyword ：
Convolution Convolution Natural language processing systems Natural language processing systems Recurrent neural networks Recurrent neural networks Social networking (online) Social networking (online)
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| GB/T 7714 | Lin, Xiang , Liao, Xiangwen , Xu, Tong et al. Rumor Detection with Hierarchical Recurrent Convolutional Neural Network [C] . 2019 : 338-348 . |
| MLA | Lin, Xiang et al. "Rumor Detection with Hierarchical Recurrent Convolutional Neural Network" . (2019) : 338-348 . |
| APA | Lin, Xiang , Liao, Xiangwen , Xu, Tong , Pian, Wenjing , Wong, Kam-Fai . Rumor Detection with Hierarchical Recurrent Convolutional Neural Network . (2019) : 338-348 . |
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Background: Users searching for health information on the Internet may be searching for their own health issue, searching for someone else's health issue, or browsing with no particular health issue in mind. Previous research has found that these three categories of users focus on different types of health information. However, most health information websites provide static content for all users. If the three types of user health information need contexts can be identified by the Web application, the search results or information offered to the user can be customized to increase its relevance or usefulness to the user. Objective: The aim of this study was to investigate the possibility of identifying the three user health information contexts (searching for self, searching for others, or browsing with no particular health issue in mind) using just hyperlink clicking behavior; using eye-tracking information; and using a combination of eye-tracking, demographic, and urgency information. Predictive models are developed using multinomial logistic regression. Methods: A total of 74 participants (39 females and 35 males) who were mainly staff and students of a university were asked to browse a health discussion forum, Healthboards. com. An eye tracker recorded their examining (eye fixation) and skimming (quick eye movement) behaviors on 2 types of screens: summary result screen displaying a list of post headers, and detailed post screen. The following three types of predictive models were developed using logistic regression analysis: model 1 used only the time spent in scanning the summary result screen and reading the detailed post screen, which can be determined from the user's mouse clicks; model 2 used the examining and skimming durations on each screen, recorded by an eye tracker; and model 3 added user demographic and urgency information to model 2. Results: An analysis of variance (ANOVA) analysis found that users' browsing durations were significantly different for the three health information contexts (P<.001). The logistic regression model 3 was able to predict the user's type of health information context with a 10-fold cross validation mean accuracy of 84% (62/74), followed by model 2 at 73% (54/74) and model 1 at 71% (52/78). In addition, correlation analysis found that particular browsing durations were highly correlated with users' age, education level, and the urgency of their information need. Conclusions: A user's type of health information need context (ie, searching for self, for others, or with no health issue in mind) can be identified with reasonable accuracy using just user mouse clicks that can easily be detected by Web applications. Higher accuracy can be obtained using Google glass or future computing devices with eye tracking function.
Keyword ：
consumer health information consumer health information information-seeking behavior information-seeking behavior Internet Internet medical informatics medical informatics social media social media
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| GB/T 7714 | Pian, Wenjing , Khoo, Christopher S. G. , Chi, Jianxing . Automatic Classification of Users' Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data [J]. | JOURNAL OF MEDICAL INTERNET RESEARCH , 2017 , 19 (12) . |
| MLA | Pian, Wenjing et al. "Automatic Classification of Users' Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data" . | JOURNAL OF MEDICAL INTERNET RESEARCH 19 . 12 (2017) . |
| APA | Pian, Wenjing , Khoo, Christopher S. G. , Chi, Jianxing . Automatic Classification of Users' Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data . | JOURNAL OF MEDICAL INTERNET RESEARCH , 2017 , 19 (12) . |
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