[1] HE L N, CHEN Y, XIONG X L, et al. Does science literacy guarantee resistance to health rumors:the moderating effect of self-efficacy of science literacy in the relationship between science literacy and rumor belief[J]. International journal of environmental research and public health, 2021, 18(5):2243.
[2] SIMON K. Digital 2023:global overview report[EB/OL].[2023-10-23]. https://datareportal.com/reports/digital-2023-global-overviewreport.
[3] ZAROCOSTAS J. How to fight an infodemic[J]. Lancet, 2020, 395(10225):676.
[4] LIU Q M, LI T, SUN M C. The analysis of an SEIR rumor propagation model on heterogeneous network[J]. Physica A:statistical mechanics and its applications, 2017, 469:372-380.
[5] FAZLI H, EBADIZADEH H A. Dynamics of rumor spreading with a controller agent[J]. Journal of dynamical systems and geometric theories, 2019, 17(1):61-70.
[6] PAN W Q, YAN W J, HU Y H, et al. Dynamic analysis of a SIDRW rumor propagation model considering the effect of media reports and rumor refuters[J]. Nonlinear dynamics, 2023, 111:3925-3936.
[7] MALIK A, BASHIR F, MAHMOOD K. Antecedents and consequences of misinformation sharing behavior among adults on social media during COVID-19[J]. Sage open, 2023, 13(1):21582440221147022.
[8] 位志广, 宋小康, 朱庆华, 等. 基于随机森林的健康谣言分享意愿研究[J]. 现代情报, 2020, 40(5):78-87. (WEI Z G, SONG X K, ZHU Q H, et al. Research on health rumor sharing intention based on random forest classification algorithm[J]. Journal of modern information, 2020, 40(5):78-87.)
[9] 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, 56:101475.
[10] INDU V, THAMPI S M. Cognitive AI for mitigation of misinformation in online social networks[J]. IT professional, 2022, 24(5):37-45.
[11] 朱梦蝶, 付少雄, 郑德俊, 等. 文献视角下的社交媒体健康谣言研究:特征、传播与治理[J]. 图书情报知识, 2022, 39(5):131-143. (ZHU M D, FU S X, ZHENG J D, et al. Research on social media health rumors from the perspective of literature:characteristics, dissemination and governance[J]. Documentation, information and knowledge, 2022, 39(5):37-45.)
[12] LIANG C Y, CHOU W S, HSU Y L. The factors of influencing college student's belief in consumption-type internet rumors[J]. International journal of cyber society and education, 2009, 2(1):37-46.
[13] ZHANG X, CHENG Y H, CHENG A S, et al. How rumors diffuse in the infodemic:Evidence from the healthy online social change in China[J]. Technological forecasting and social change, 2022, 185:122089.
[14] TUNCER S, TAM M S. The COVID-19 infodemic:misinformation about health on social media in Istanbul[J]. Turkish review of communication studies, 2022, 40:340-358.
[15] LOBATO E J C, POWELL M, PADILLA L M K, et al. Factors predicting willingness to share COVID-19 misinformation[J]. Frontier in psychology, 2020, 11:566108.
[16] ISLAM A K M N, LAATO S, TALUKDER S, et al. Misinformation sharing and social media fatigue during COVID-19:an affordance and cognitive load perspective[J]. Technological forecasting and social change, 2020, 159:120201.
[17] LAATO S, ISLAM A K M N, ISLAM M N, et al. Why do people share misinformation during the COVID-19 pandemic?[J]. European journal of information systems, 2020, arXiv:2004.09600.
[18] CACIOPPO J T, PETTY R E. The elaboration likelihood model of persuasion[J]. Advances in consumer research, 1984, 11:673-675.
[19] LANGE P A M V, KRUGLANSKI A W, HIGGINS E T. Handbook of theories of social psychology[M]. London:Sage, 2012.
[20] SONG J J, LI Y, GUO X T, et al. Making mobile health information advice persuasive:an elaboration likelihood model perspective[J]. Journal of organizational and end user computing, 2022, 34(4):1-22.
[21] ZHA X J, YANG H J, YAN Y L, et al. Exploring the effect of social media information quality, source credibility and reputation on informational fit-to-task:moderating role of focused immersion[J]. Computers in human behavior, 2018, 79:227-237.
[22] KOBSA A, CHO H, KNIJNENBURG B P. The effect of personalization provider characteristics on privacy attitudes and behaviors:an elaboration likelihood model approach[J]. Journal of the association for information science and technology, 2016, 67(11):2587-2606.
[23] LUO H, MENG X, ZHAO Y F, et al. Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China[J]. Computers in human behavior, 2023, 144:107733.
[24] 王建亚, 张欢, 张雅洁, 等. 基于ELM和心理惯性视角的知识付费用户使用意愿研究[J]. 现代情报, 2021, 41(7):60-73. (WANG J Y, ZHANG H, ZHANG Y J, et al. Users' paying for knowledge payment:perspective from mental inertia based on ELM[J]. Journal of modern information, 2021, 41(7):60-73.)
[25] ALLPORT G W, POSTMAN L. The psychology of rumor[M]. New York:Holt, Rinehart & Winston, 1947.
[26] 李雪, 刘益, 高伟. 用户评论信息特征与信息采纳——产品涉入与社区涉入的不同调节作用[J]. 情报科学, 2018, 36(11):115-121. (LI X, LIU Y, GAO W. A study on the relationship between user reviews and information adoption:different moderations of product and community involvement[J]. Information science, 2018, 36(11):115-121.)
[27] ZAICHKOWSKY J L. Measuring the involvement construct[J]. Journal of consumer research, 1985, 12(3):341-352.
[28] BORDIA P, DIFONZO N, HAINES R, et al. Rumors denials as persuasive messages:effects of personal relevance, source and message characteristics[J]. Journal of applied social psychology, 2010, 35(6):1301-1331.
[29] KIM S, KIM S. The crisis of public health and infodemic:analyzing belief structure of fake news about COVID-19 pandemic[J]. Sustainability, 2020, 12(23):9904.
[30] 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.
[31] CHEUNG C M Y, SIA C L, KUAN K K Y. Is this review believable? a study of factors affecting the credibility of online consumer reviews from an ELM perspective[J]. Journal of the Association for Information Systems, 2012, 13(8):618-635.
[32] MEHRABIAN A, RUSSELL J A. An approach to environment psychology[M]. Cambridge:MIT Press, 1974.
[33] 梁阜, 李树文, 孙锐. SOR视角下组织学习对组织创新绩效的影响[J]. 管理科学, 2017, 30(3):63-74. (LIANG F, LI S W, SUN R. The influence of organizational learning on organizational innovative performance from the perspective of SOR[J]. Journal of management science, 2017, 30(3):63-74.)
[34] ZHU X G, CAO Q Q, LIU C N. Mechanism of platform interaction on social media users' intention to disclose privacy:a case study of Tiktok APP[J]. Information, 2022, 13(10):461.
[35] LUQMAN A, CAO X F, ALI H, et al. Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm[J]. Computers in human behavior, 2017, 70:544-555.
[36] 潘涛涛, 吕英杰. 在线健康社区中基于SOR模型的用户参与行为影响因素研究[J]. 情报资料工作, 2022, 43(2):76-83. (PAN T T, LYU Y J. Research on influencing factors of user participation behavior based on SOR model in online health community[J]. Information and documentation services, 2022, 43(2):76-83.)
[37] CHEN H, LI W L, LYU T, et al. Understanding people's participation in online charities:a dual-process approach of trust and empathic concern[J]. Industrial management & data systems, 2021, 121(7):1642-1663.
[38] WU M L. What drives people to share misinformation on social media during the COVID-19 pandemic:a Stimulus-OrganismResponse perspective[J]. International journal of environmental research and public health, 2022, 19(18):11752.
[39] SUN Z G, CHENG X, ZHANG R L, et al. Factors influencing rumor re-spreading in a public health crisis by the middle-aged and elderly populations[J]. International journal of environmental research and public health, 2020, 17(18):6542.
[40] 王琳, 马子乔. 新冠肺炎疫情下大学生的信息焦虑研究——基于应激障碍水平的视角[J]. 现代情报, 2020, 40(7):14-24. (WANG L, MA Z Q. Research on information anxiety of university students' under the epidemic of COVID-19:from the perspective of stress disorder[J]. Journal of modern information, 2020, 40(7):14-24.)
[41] FAN J L, SMITH A P. Information overload, wellbeing and COVID-19:a survey in China[J]. Behavioral sciences, 2021, 11(5):62.
[42] CHARPENTIER C J, DEZZA I C, VELLANI V, et al. Anxiety increases information-seeking in response to large changes[J]. Scientific reports, 2022, 12(1):7385.
[43] 刘晓云, 徐佳宁. 心流视域下直播购物情境因素对用户购买意愿的影响——基于产品涉入的调节作用[J]. 吉林工商学院学报, 2022, 38(6):41-49. (LIU X Y, XU J N. On influence of live broadcast situational factors on users' purchase intention from the perspective of flow experience:the moderating effect of product involvement[J]. Journal of Jilin business and technology college, 2022, 38(6):41-49.)
[44] 韩兆林. 涉入理论及其在消费者行为研究中的运用[J]. 外国经济与管理, 1997(1):11-13, 17. (HAN Z L. Involvement theory and its application in the study of consumer behavior[J]. Foreign economies and management, 1997(1):11-13, 17.)
[45] JOHNSON F, ROWLEY J, SBAFFI L. Modelling trust formation in health information contexts[J]. Journal of information science, 2015, 41(4):415-429.
[46] CHEN K L, LUO Y N, HU A Y, et al. Characteristics of misinformation spreading on social media during the COVID-19 outbreak in China:a descriptive analysis[J]. Risk management and healthcare policy, 2021, 14:1869-1879.
[47] 赵娜, 李永鑫, 张建新. 谣言传播的影响因素及动机机制研究述评[J]. 心理科学, 2013, 36(4):965-970. (ZHAO N, LI Y X, ZHANG J X.A review of influencing factors and motivation mechanisms of rumor spreading[J]. Journal of psychological science, 2013, 36(4):965-970.)
[48] DIFONZO N, BORDIA P. Rumor, gossip and urban legends[J]. Diogenes, 2007, 54(1):19-35.
[49] 李露琪, 侯丽, 邓胜利. 突发公共卫生事件网络虚假信息传播行为影响因素研究——以新冠疫情期间微博虚假信息为例[J]. 图书情报工作, 2022, 66(9):4-13. (LI L Q, HOU L, DENG S L. Research on influencing factors of network misinformation transmission behaviors in public health emergencies:a case study of Weibo misinformation during COVID-19[J]. Library and information service, 2022, 66(9):4-13.)
[50] WANG Q X, YANG X, XI W Y. Effects of group arguments on rumor belief and transmission in online communities:an information cascade and group polarization perspective[J]. Information & management, 2018, 55(4):441-449.
[51] LUO P, WANG C X, GUO F, et al. Factors affecting individual online rumor sharing behavior in the COVID-19 pandemic[J]. Computers in human behavior, 2021, 125:106968.
[52] GUO F, ZHOU A P, ZHANG X F, et al. Fighting rumors to fight COVID-19:Investigating rumor belief and sharing on social media during the pandemic[J]. Computers in human behavior, 2023, 139:107521.
[53] ROSNOW R L. Psychology of rumor reconsidered[J]. Psychological bulletin, 1980, 87(3):578-591.
[54] DIFONZO N, BORDIA P. Corporate rumor activity, belief and accuracy[J]. Public relations review, 2002, 28(1):1-19.
[55] 潘文静, 孙纪开, 方洁. 食品安全虚假信息的接触和接受:感知威胁的中介作用和健康信息素养的调节作用[J]. 国际新闻界, 2022, 44(10):74-95. (PAN W J, SUN J K, FANG J. Food safety misinformation exposure and acceptance:the mediating role of perceived threats and the moderating role of health information literacy[J]. Chinese journal of journalism and communication, 2022, 44(10):74-95.)
[56] BAO X L, CHEN D X, SHI L S B, et al. The relationship between COVID-19-related prevention cognition and healthy lifestyle behaviors among university students:mediated by e-health literacy and selfefficacy[J]. Journal of affective disorders, 2022, 309:236-241.
[57] LEE H, KIM J. Factors affecting rumor believability in the context of COVID-19:the moderating roles of government trust and health literacy[J]. Journal of applied communication research, 2022, 50(6):613-631.
[58] OH H J, LEE H. When do people verify and share health rumors on social media:the effects of message importance, health anxiety, and health literacy[J]. Journal of health communication, 2019, 24(11):837-847.
[59] LIU P, YEH L L, WANG J Y, et al. Relationship between levels of digital health literacy based on the Taiwan digital health literacy assessment and accurate assessment of online health information:cross-sectional questionnaire study[J]. Journal of medical Internet research, 2020, 22(12):e19767.
[60] MONTAGNI I, OUAZZANI-TOUHAMI K, MEBARKI A, et al. Acceptance of a Covid-19 vaccine is associated with ability to detect fake news and health literacy[J]. Journal of public health, 2021, 43(4):695-702.
[61] DIFONZO N, SULS J, BECKSTEAD J W, et al. Network structure moderates intergroup differentiation of stereotyped rumors[J]. Social cognition, 2014, 32(5):409-448.
[62] 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, 87:1-9.
[63] OHANIAN R. Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness[J]. Journal of advertising, 1990, 19(3):39-52.
[64] 韩蕾倩, 闫慧, 赵昆明, 等. 微信信息焦虑的量表开发与应用[J]. 图书馆论坛, 2019, 39(9):82-92. (HAN L Q, YAN H, ZHAO K M, et al. WeChat information anxiety scale:development and applications[J]. Library tribune, 2019, 39(9):82-92.)
[65] 韩双杨. 突发公共卫生事件背景下大学生健康信息焦虑影响因素研究[D]. 重庆:西南大学, 2022. (HAN S Y. Research on the influencing factors of college students' health information anxiety under the context of public health emergency[D]. Chongqing:Southwest University, 2022.)
[66] NYHAN B, REIFLER J, RICHEY S, et al. Effective messages in vaccine promotion:a randomized trial[J]. Pediatrics, 2014, 133(4):835-842.
[67] PEZZO M V, BECKSTEAD J W. A multilevel analysis of rumor transmission:effects of anxiety and belief in two field experiments[J]. Basic and applied social psychology, 2006, 28(1):91-100.
[68] VENKATESH V, MORRIS M G, DAVIS G B, et al. User acceptance of information technology:toward a unified view[J]. MIS quarterly, 2003, 27(3):425-478.
[69] 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 behaviors, 2023, 138:107439.
[70] NORMAN C D, SKINNER H A. EHEALS:the ehealth literacy scale[J]. Journal of international medical research, 2006, 8(4):e27.
[71] 郭帅军, 余小鸣, 孙玉颖, 等. eHEALS健康素养量表的汉化及适用性探索[J]. 中国健康教育, 2013, 29(2):106-108, 123. (GUO S J, YU X M, SUN Y Y, et al. Adaptation and evaluation of Chinese version of eHEALS and its usage among senior high school students[J]. Chinese journal of health education, 2013, 29(2):106-108, 123.)
[72] 陈瑞, 郑毓煌, 刘文静. 中介效应分析:原理、程序、Bootstrap方法及其应用[J]. 营销科学学报, 2013, 9(4):120-135. (CHEN R, ZHENG Y H, LIU W J. Mediating effect analysis:principle, program, Bootstrap method and its application[J], Journal of marketing science, 2013, 9(4):120-135.)
[73] ZHAO X S, LYNCH J G, CHEN Q M. Reconsidering Baron and Kenny:myths and truths about mediation analysis[J]. Journal of consumer research, 2010, 37(2):197-206.
[74] 王军, 周淑玲. 一致性与矛盾性在线评论对消费者信息采纳的影响研究——基于感知有用性的中介作用和自我效能的调节作用[J]. 图书情报工作, 2016, 60(22):94-101. (WANG J, ZHOU S L. Research on how the consistent and contradictory online reviews affect consumer information adoption:based on the mediating effects of perceived usefulness and the moderating effects of self-efficacy[J]. Library and information service, 2016, 60(22):94-101.)
[75] 李玉玲, 曹锦丹. 信息焦虑的概念界定[J]. 图书馆学研究, 2011(3):2-4. (LI Y L, CAO J D. The concept definition of information anxiety[J]. Research on library science, 2011(3):2-4.)
[76] 凯斯. 信息乌托邦:众人如何生产知识[M]. 毕竞悦, 译. 北京:法律出版社, 2008. (SUNSTEIN C R. Infotopia:how many minds produce knowledge[M]. BI J Y, trans. Beijing:Law Press China, 2008.)
[77] JOHNSON B T, EAGLY A H. Effects of involvement on persuasion:a meta-analysis[J]. Psychological bulletin, 1989, 106(2):290-314.
[78] BUCHANAN T, BENSON V. Spreading disinformation on Facebook:do trust in message source, risk propensity, or personality affect the organic reach of "fake news"?[J]. Society and media society, 2019, 5(4):87-96.
[79] SUDHIR S, UNNITHAN A B. Marketplace rumor sharing among young consumers:the role of anxiety and arousal[J]. Young consumers, 2019, 20(1):1-13.
[80] 黄艳, 刘默扬, 李卫东. 政务短视频用户信息分享行为研究——以抖音和快手平台的" 青年学党史" 作品合集为例[J]. 北京航空航天大学学报(社会科学版), 2022, 35(1):92-101. (HUANG Y, LIU M Y, LI W D. Information sharing behaviors of government short video users:a case study of the collection of videos of "Youth Learning Party History" on TikTok and Kuaishou platform[J]. Journal of Beijing University of Aeronautics and Astronautics (social science edition), 2022, 35(1):92-101.)
[81] DIFONZO N, BORDIA P. Corporate rumor activity, belief and accuracy[J]. Public relations review, 2002, 28(1):1-19.
[82] NA K, GARRETT R K, SLATER M D. Rumor acceptance during public health crises:testing the emotional congruence hypothesis[J]. Journal of health communication, 2018, 23(8):791-799.
[83] WANG Q S, YANG X, XI W Y. Effects of group arguments on rumor belief and transmission in online communities:an information cascade and group polarization perspective[J]. Information and management, 2018, 55(4):441-449.
[84] HE L N, YANG H S, XIONG X L, et al. Online rumor transmission among younger and older adults[J]. Sage open, 2019, 9(3):2158244019876273.
[85] 李信, 李旭晖. 面向电子健康素养的大学生网络健康信息搜寻行为现状调查及对策建议[J]. 图书馆理论与实践, 2017(4):44-50. (LI X, LI X H. Investigation and countermeasures on current situation of college students' online health information search behavior based on e health literacy[J]. Library theory and practice, 2017(4):44-50.)
[86] DIVIANI N, PUTTE B, GIANI S, et al. Low health literacy and evaluation of online health information:a systematic review of the literature[J]. Journal of medical internet research, 2015, 17(5):e112.
[87] 马乐, 吴丹. 重大公共突发卫生事件中电子健康信息素养教育标准的适用性及对策研究[J]. 图书馆杂志, 2020, 39(7):95-103. (MA L, WU D. Research on the applicability of electronic health information literacy education standards in major public health emergencies and countermeasures[J]. Library journal, 2020, 39(7):95-103.)
