[1] 宋士杰, 赵宇翔, 朱庆华. 补偏救弊:社交媒体中失真健康信息的传播、识别与纠偏研究[J/OL]. 情报杂志[2023-12-18]. http://kns.cnki.net/kcms/detail/61.1167.G3.20230328.1114.006.html. (SONG S, ZHAO Y X, ZHU Q H. Remedy defects:a comprehensive review on health misinformation dissemination, identification, and correction in social media[J/OL]. Journal of intelligence[2023-12-18]. http://kns.cnki.net/kcms/detail/61.1167.G3.20230328.1114.006.html.)
[2] CHOU W Y S, OH A, KLEIN W M P. Addressing health-related misinformation on social media[J]. Jama, 2018, 320(23):2417-2418.
[3] 薛翔, 马海云, 赵宇翔, 等. 用户感知视角下的健康信息质量评估研究——以短视频平台为例[J]. 图书与情报, 2022(2):69-79. (XUE X, MA H Y, ZHAO Y X, et al. Perceived quality of health information in short video platforms:modeling the process and influencing factors[J]. Library & information, 2022(2):69-79.)
[4] APUKE O D, OMAR B. Fake news and COVID-19:modelling the predictors of fake news sharing among social media users[J]. Telematics and informatics, 2021, 56(4):101475.
[5] CHOU W S, TRIVEDI N, PETERSON E, et al. How do social media users process cancer prevention messages on Facebook? An eye-tracking study[J]. Patient education and counseling, 2020, 103(6):1161-1167.
[6] BODE L, VRAGA E K. See something, say something:correction of global health misinformation on social media[J]. Health communication, 2018, 33(9):1131-1140.
[7] LAATO S, ISLAM A K M N, ISLAM M N, et al. What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?[J]. European journal of information systems, 2020, 29(3):288-305.
[8] SONG H, SO J, SHIM M, et al. What message features influence the intention to share misinformation about COVID-19 on social media? The role of efficacy and novelty[J]. Computers in human behavior, 2023, 138(2):107439.
[9] PENG W, LIM S, MENG J. Persuasive strategies in online health misinformation:a systematic review[J]. Information, communication & society, 2022, 14(1):1-18.
[10] LOZANO M G, BRYNIELSSON J, FRANKE U, et al. Veracity assessment of online data[J]. Decision support systems, 2020, 129(4):113132.
[11] MOURAD A, SROUR A, HARMANANI H, et al. Critical impact of social networks infodemic on defeating coronavirus COVID-19 pandemic:Twitter-based study and research directions[J]. IEEE transactions on network and service management, 2020, 17(4):2145-2155.
[12] KIM H K, AHN J, ATKINSON L, et al. Effects of COVID-19 misinformation on information seeking, avoidance, and processing:a multi-country comparative study[J]. Science communication, 2020, 42(5):586-615.
[13] WALTER N, BROOKS J J, SAUCIER C J, et al. Evaluating the impact of attempts to correct health misinformation on social media:a meta-analysis[J]. Health communication, 2021, 36(13):1776-1784.
[14] WANG Y, MCKEE M, TORBICA A, et al. Systematic literature review on the spread of health-related misinformation on social media[J]. Social science & medicine, 2019, 240(2):112552.
[15] METZGER M J, FLANAGIN A J, MEDDERS R B. Social and heuristic approaches to credibility evaluation online[J]. Journal of communication, 2010, 60(3):413-439.
[16] PENNYCOOK G, RAND D G. Lazy, not biased:susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning[J]. Cognition, 2019, 188(1):39-50.
[17] MITCHELL S S D. Population control, deadly vaccines, and mutant mosquitoes:the construction and circulation of Zika virus conspiracy theories online[J]. Canadian journal of communication, 2019, 44(2):211-237.
[18] SALVADOR CASARA B G, SUITNER C, BETTINSOLI M L. Viral suspicions:vaccine hesitancy in the web 2.0[J]. Journal of experimental psychology:applied, 2019, 25(3):354-371.
[19] FAASSE K, CHATMAN C J, MARTIN L R. A comparison of language use in pro-and anti-vaccination comments in response to a high profile Facebook post[J]. Vaccine, 2016, 34(47):5808-5814.
[20] INTRONE J, KORSUNSKA A, KRSOVA L, et al. Mapping the narrative ecosystem of conspiracy theories in online anti vaccination discussions[C]//International conference on social media and society. New York:Association for computing machinery, 2020:184-192.
[21] CHEN L, LING Q, CAO T, et al. Mislabeled, fragmented, and conspiracy-driven:a content analysis of the social media discourse about the HPV vaccine in China[J]. Asian journal of communication, 2020, 30(6):450-469.
[22] KEARNEY M D, SELVAN P, HAUER M K, et al. Characterizing HPV vaccine sentiments and content on Instagram[J]. Health education & behavior, 2019, 46(2):37S-48S.
[23] CHUA A Y K, BANERJEE S. Intentions to trust and share online health rumors:an experiment with medical professionals[J]. Computers in human behavior, 2018, 87(3):1-9.
[24] DEDOMINICIS K, BUTTENHEIM A M, HOWA A C, et al. Shouting at each other into the void:a linguistic network analysis of vaccine hesitance and support in online discourse regarding California law SB277[J]. Social science & medicine, 2020, 266(5):113216.
[25] PRASAD A. Anti-science misinformation and conspiracies:COVID-19, post-truth, and science & technology studies (STS)[J]. Science, technology and society, 2022, 27(1):88-112.
[26] SCHIAVO R. Health communication:from theory to practice[M]. New York:Jossey-Bass, 2013.
[27] BIANCOVILLI P, MAKSZIN L, CSONGOR A. Breast cancer on social media:a quali-quantitative study on the credibility and content type of the most shared news stories[J]. BMC women's health, 2021, 21(1):1-11.
[28] MASSEY P M, KEARNEY M D, HAUER M K, et al. Dimensions of misinformation about the HPV vaccine on Instagram:content and network analysis of social media characteristics[J]. Journal of medical internet research, 2020, 22(12):e21451.
[29] PENNYCOOK G, RAND D G. Who falls for fake news? The roles of bullshit receptivity, over claiming, familiarity, and analytic thinking[J]. Journal of personality, 2020, 88(2):185-200.
[30] ALI K, LI C, MUQTADIR S A. The effects of emotions, individual attitudes towards vaccination, and social endorsements on perceived fake news credibility and sharing motivations[J]. Computers in human behavior, 2022, 134(2):107307.
[31] 李月琳, 张秀, 王姗姗. 社交媒体健康信息质量研究:基于真伪健康信息特征的分析[J]. 情报学报, 2018, 37(3):294-304. (LI Y L, ZHANG X, WANG S S. Health information quality in social media:an analysis based on the features of real and fake health information[J]. Journal of the China Society for Scientific and Technical Information, 2018, 37(3):294-304.)
[32] SUSSMAN S W, SIEGAL W S. Informational influence in organizations:an integrated approach to knowledge adoption[J]. Information systems research, 2003, 14(1):47-65.
[33] CHAIKEN S. Heuristic versus systematic information processing and the use of source versus message cues in persuasion[J]. Journal of personality and social psychology, 1980, 39(5):752.
[34] CHONG A Y L, KHONG K W, MA T, et al. Analyzing key influences of tourists'acceptance of online reviews in travel decisions[J]. Internet research, 2018, 28(3):564-586.
[35] TSENG S Y, WANG C N. Perceived risk influence on dual-route information adoption processes on travel websites[J]. Journal of business research, 2016, 69(6):2289-2296.
[36] PENG L F, LIAO Q Y, WANG X R, et al. Factors affecting female user information adoption:an empirical investigation on fashion shopping guide Websites[J]. Electronic commerce research, 2016, 16(2):145-169.
[37] JIN J H, YAN X B, LI Y J, et al. How users adopt healthcare information:an empirical study of an online Q&A community[J]. International journal of medical informatics, 2016, 86:91-103.
[38] LUO M, HANCOCK J T, MARKOWITZ D M. Credibility perceptions and detection accuracy of fake news headlines on social media:effects of truth-bias and endorsement cues[J]. Communication research, 2022, 49(2):171-195.
[39] SUN Y, ZHANG Y, GWIZDKA J, et al. Consumer evaluation of the quality of online health information:systematic literature review of relevant criteria and indicators[J]. Journal of medical internet research, 2019, 21(5):e12522.
[40] CHEN L, LING Q, CAO T, et al. Mislabeled, fragmented, and conspiracy-driven:a content analysis of the social media discourse about the HPV vaccine in China[J]. Asian journal of communication, 2020, 30(6):450-469.
[41] RIEH S Y. Judgment of information quality and cognitive authority in the web[J]. Journal of the American Society for Information Science and Technology, 2002, 53(2):145-161.
[42] LIN Y, COLE C, DALKIR K. The relationship between perceived value and information source use during KM strategic decision-making:a study of 17 Chinese business managers[J]. Information processing & management, 2014, 50(1):156-174.
[43] GOBINATH J, GUPTA D. Online reviews:Determining the perceived quality of information[C]//2016 international conference on advances in computing, communications and informatics. Jaipur:IEEE, 2016:412-416.
[44] TANDOC E C, LING R, WESTLUND O, et al. Audiences' acts of authentication in the age of fake news:a conceptual framework[J]. New media & society, 2018, 20(8):2745-2763.
[45] APPELMAN A, SUNDAR S S. Measuring message credibility:Construction and validation of an exclusive scale[J]. Journalism & mass communication quarterly, 2016, 93(1):59-79.
[46] STEFANONE M A, VOLLMER M, COVERT J M. In news we trust? Examining credibility and sharing behaviors of fake news[C]//Proceedings of the 10th international conference on social media and society. New York:Association for Computing Machinery, 2019:136-147.
[47] RIMé B. The social sharing of emotion as a source for the social knowledge of emotion[J]. Everyday conceptions of emotion:an introduction to the psychology, anthropology and linguistics of emotion, 1995, 19(1):475-489.
[48] UNKELBACH C, ALVES H, KOCH A. Negativity bias, positivity bias, and valence asymmetries:Explaining the differential processing of positive and negative information[J]. Advances in experimental social psychology, 2020, 62(1):115-187.
[49] MENDOZA-DENTON R, AYDUK O, MISCHEL W, et al. Person situation interaction ism in self-encoding (I am… when…):implications for affect regulation and social information processing[J]. Journal of personality and social psychology, 2001, 80(4):533-544.
[50] WANG P W, AHORSU D K, LIN C Y, et al. Motivation to have COVID-19 vaccination explained using an extended protection motivation theory among university students in China:the role of information sources[J]. Vaccines, 2021, 9(4):380.
[51] PLEBANEK D J, SLOUTSKY V M. Selective attention, filtering, and the development of working memory[J]. Developmental science, 2019, 22(1):e12727.
[52] CHANG C. The influence of ambivalence toward a communication source:media context priming and persuasion polarization[J]. Communication research, 2014, 41(6):783-808.
[53] LEE M, JEONG M, LEE J. Roles of negative emotions in customers' perceived helpfulness of hotel reviews on a user-generated review website:a text mining approach[J]. International journal of contemporary hospitality management, 2017, 29(2):762-783.
[54] BAKER M A, KIM K. Value destruction in exaggerated online reviews:the effects of emotion, language, and trustworthiness[J]. International journal of contemporary hospitality management, 2019, 31(4):1956-1976.
[55] HARRIS L C, FISK R P, SYSALOVA H. Exposing Pinocchio customers:investigating exaggerated service stories[J]. Journal of service management, 2016, 27(2):63-90.
[56] CHADWICK A, VACCARI C, KAISER J. The amplification of exaggerated and false news on social media:the roles of platform use, motivations, affect, and ideology[J/OL]. American behavioral scientist[2023-12-18]. https://doi.org/10.1177/00027642221118264.
[57] FADLALLAH R, EL-JARDALI F, NOMIER M, et al. Using narratives to impact health policy-making:a systematic review[J]. Health research policy and systems, 2019, 17(2):1-22.
[58] GILBERT M. Shared intention and personal intentions[J]. Philosophical studies, 2009, 144(4):167-187.
[59] SUI Y, ZHANG B. Determinants of the perceived credibility of rebuttals concerning health misinformation[J]. International journal of environmental research and public health, 2021, 18(3):1345.
[60] BHATTACHERJEE A, SANFORD C. Influence processes for information technology acceptance:an elaboration likelihood model[J]. MIS quarterly, 2006(30):805-825.
[61] CHOU C H, WANG Y S, TANG T I. Exploring the determinants of knowledge adoption in virtual communities:a social influence perspective[J]. International journal of information management, 2015, 35(3):364-376.
[62] NORMAN C D, SKINNER H A. eHEALS:the eHealth literacy scale[J]. Journal of medical Internet research, 2006, 8(4):e507.
[63] NEKMAT E. Nudge effect of fact-check alerts:Source influence and media skepticism on sharing of news misinformation in social media[J]. Social media+ society, 2020, 6(1):2056305119897322.
[64] 薛翔, 赵宇翔, 马海云等. 活动理论视角下的信息偶遇行为模型研究[J]. 情报理论与实践, 2021, 44(9):97-105. (XUE X, ZHAO Y X, MA H Y, et al. A research on the information encountering model based on activity theory[J]. Information studies:theory & application, 2021, 44(9):97-105.)