[1] 贾硕, 张宁, 沈洪洲.网络谣言传播与消解的研究进展[J].信息资源管理学报, 2019, 9(3):62-72. (JIA S, ZHANG N, SHEN H Z.Overviews on information dissemination and disappearance for online rumor[J].Journal of information resources management, 2019, 9(3):62-72.)
[2] 王国华, 汪娟, 方付建.基于案例分析的网络谣言事件政府应对研究[J].情报杂志, 2011, 30(10):72-76. (WANG G H, WANG J, FANG F J.A study on the government reactions in coping with Internet rumors based on cases[J].Journal of intelligence, 2011, 30(10):72-76.)
[3] 王晰巍, 邱程程, 李玥琪, 等.突发公共卫生事件用户辟谣信息传播意愿研究[J].现代情报, 2022, 42(1):87-96, 176. (WANG X W, QIU C C, LI Y Q, et al.A study on users' willingness to disseminate rumor refutation information about public health emergencies[J].Journal of modern information, 2022, 42(1):87-96, 176.)
[4] 安璐, 徐曼婷.突发公共卫生事件情境下网民对政务微博信任度的测度[J].数据分析与知识发现, 2022, 6(1):55-68. (AN L, XU M T.Measuring online trust in government microblogs in public health emergencies[J].Data analysis and knowledge discovery, 2022, 6(1):55-68.)
[5] 王晰巍, 邱程程, 贾若男.突发公共卫生事件网络谣言辟谣效果影响因素研究——以新冠疫情期间网络谣言为例[J].图书情报工作, 2021, 65(19):26-35. (WANG X W, QIU C C, JIA R N.A study on the factors influencing online rumor refutation effectiveness in public health emergencies:a case study of online rumors during the COVID-19[J].Library and information service, 2021, 65(19):26-35.)
[6] WANG X, CHAO F, YU G, et al.Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability[J].Computers in human behavior, 2022, 130:107174.
[7] 安璐, 陈苗苗.突发事件情境下政务微博信息发布有效性评估[J].情报学报, 2022, 41(7):692-706. (AN L, CHEN M M.Evaluating the effectiveness of government microblog information release in emergency situations[J].Journal of the China Society for Scientific and Technical Information, 2022, 41(7):692-706.)
[8] 韩旭, 李阳.突发事件情境下社交媒体辟谣信息传播效果影响因素研究[J].情报理论与实践, 2022, 45(8):97-103. (HAN X, LI Y.Research on the influencing factors of social media rumor-refuting information dissemination effect in emergencies[J].Information studies:theory & application, 2022, 45(8):97-103.)
[9] 刘政委, 张新星, 徐聪宝, 等.政务微博沟通效果评估及其影响因素的实证研究[J].图书情报导刊, 2022, 7(2):66-73. (LIU Z W, ZHANG X X, XU C B, et al.An empirical study on the evaluation of communication effect of government microblog and its influencing factors[J].Journal of library and information science, 2022, 7(2):66-73.)
[10] 唐梦斐, 王建成.突发事件中政务微博辟谣效果研究——基于"上海外滩踩踏事件" 的案例分析[J].情报杂志, 2015, 34(8):98-103, 36. (TANG M F, WANG J C.A research on rumors-refuting effects of government microblog in emergency:based on the case study of Shanghai bund stampede incident[J].Journal of intelligence, 2015, 34(8):98-103, 36.)
[11] 张玥, 孙霄凌, 浦正宁, 等.微博舆情传播影响因素研究——基于信源特征和信息形式的视角[J].情报资料工作, 2014, 35(3):59-64. (ZHANG Y, SUN X L, PU Z N, et al.Influencing factors of microblog public opinion dissemination:based on the perspective of information source characteristic and information form[J].Information and documentation services, 2014, 35(3):59-64.)
[12] LI Z M, ZHANG Q, DU X, et al.Social media rumor refutation effectiveness:evaluation, modelling and enhancement[J].Information processing & management, 2021, 58(1):102420.
[13] ZHANG L, PENG T Q, ZHANG Y P, et al.Content or context:which matters more in information processing on microblogging sites[J].Computers in human behavior, 2014, 31:242-249.
[14] VANDER T M, JIN Y.Seeking formula for misinformation treatment in public health crises:the effects of corrective information type and source[J].Health communication, 2020, 35(5):560-575.
[15] FOGARTY J S.Reactance theory and patient noncompliance[J].Social science & medicine, 1997, 45(8):1277-1288.
[16] 强月新, 孙志鹏.政治沟通视野下政务微博辟谣效果研究[J].新闻大学, 2020(10):1-15, 118. (QIANG Y X, SUN Z P.On the rumors-debunking effect of government microblog[J].Journalism research, 2020(10):1-15, 118.)
[17] 易明, 张雪, 李梓奇.社交网络中辟谣信息传播效果的影响因素研究[J].情报科学, 2022, 40(5):3-10, 18. (YI M, ZHANG X, LI Z Q.The influencing factors of the spreading effect of rumorrefuting information in social network[J].Information science, 2022, 40(5):3-10, 18.)
[18] 王晰巍, 李玥琪, 邱程程, 等.突发公共卫生事件下网络谣言传播逆转模型及仿真研究[J].图书情报工作, 2021, 65(19):4-15. (WANG X W, LI Y Q, QIU C C, et al.Reversal model and simulation of online rumor propagation during public health emergencies[J].Library and information service, 2021, 65(19):4-15.)
[19] 蒲珏伶, 郭小安.政府辟谣速度:快与慢的反思[J].电子政务, 2014(6):31-37. (PU Y L, GUO X A.Speed of government refuting rumors:reflections on fast and slow[J].E-Government, 2014(6):31-37.)
[20] 夏志杰, 王诣铭, 滕婕, 等.危机事件中社交媒体辟谣信息发布方式与辟谣效果研究[J].管理评论, 2023, 35(3):306-319. (XIA Z J, WANG Y M, TENG J, et al.Research on the influence of information dissemination methods on the rumor-refuting effects of social media in crisis event[J].Management review, 2023, 35(3):306-319.)
[21] 谢楠.突发公共卫生事件中政务微博辟谣信息传播效果的影响因素研究[D].广州:广东外语外贸大学, 2021. (XIE N.Research on the influencing factors of the effect of rumorrefuting information dissemination on governmental Weibo in public health emergency[D].Guangzhou:Guangdong University of Foreign Studies, 2021.)
[22] 陈娟, 刘燕平, 邓胜利.政务微博辟谣信息传播效果的影响因素研究[J].情报科学, 2018, 36(1):91-95, 117. (CHEN J, LIU Y P, DENG S L.An analysis on factors influencing the dissemination effect of rumor-refuting information[J].Information science, 2018, 36(1):91-95, 117.)
[23] SHI J, HU P, LAI K K, et al.Determinants of users' information dissemination behavior on social networking sites:an elaboration likelihood model perspective[J].Internet research, 2018, 28(2):393-418.
[24] 杜运周, 贾良定.组态视角与定性比较分析(QCA):管理学研究的一条新道路[J].管理世界, 2017(6):155-167. (DU Y Z, JIA L D.Configuration perspective and qualitative comparative analysis (QCA):a new approach to management research[J].Journal of management world, 2017(6):155-167.)
[25] WANG C, HUBERMAN B A.Long trend dynamics in social media[J].Epj data science, 2012, 1(1):1-8.
[26] 曾关秀, 胡峰, 温志强.信息个性化干预对网络辟谣效果的影响研究[J].情报资料工作, 2022, 43(1):41-51. (ZENG G X, HU F, WEN Z Q.Research on the influence of information personalized intervention on the effect of internet rumor refutation[J].Information and documentation services, 2022, 43(1):41-51.)
[27] 唐雪梅, 赖胜强.网络辟谣信息如何影响受众的感知可信度——信息介入度的调节效应[J].国际新闻界, 2020, 42(8):27-48. (TANG X M, LAI S Q.How does counter-rumor affect audience's perceived credibility:moderating effect of information involvement[J].Chinese journal of journalism & communication, 2020, 42(8):27-48.)
[28] 孙永强.基于构型视角的信息行为研究:研究主题、理论构建与分析方法[J].信息资源管理学报, 2019, 9(3):4-17. (SUN Y Q.Information behavior research from a configurational perspective:research topics, theory development, and analysis approach[J].Journal of information resources management, 2019, 9(3):4-17.)
[29] 中国互联网联合辟谣平台.网络辟谣标签工作专区——辟谣信息查证[EB/OL].[2023-10-26].https://www.piyao.org.cn/pysjk/frontsql.htm. (Chinese Internet joint rumor-refuting platform.Network rumor label work zone:rumor information verification[EB/OL].[2023-10-26].https://www.piyao.org.cn/pysjk/frontsql.htm.)
[30] 张晋升, 祁志慧.虚假新闻高热度传播组合路径研究——基于57例虚假新闻的清晰集定性比较分析(QCA)[J].西南民族大学学报(人文社科版), 2020, 41(2):178-187. (ZHANG J S, QI Z H.Research on the combined path of high-hot transmission of false news[J].Journal of Southwest Minzu University (humanities and social science), 2020, 41(2):178-187.)
[31] 吕山.突发事件中网络谣言传播的组合因素效果研究——基于新冠肺炎疫情谣言的清晰集定性比较分析[J].今传媒, 2020, 28(11):152-156. (LÜ S.Study on the effect of combination factors on the spread of Internet rumors in emergencies:a qualitative comparative analysis based on the clear set of COVID-19 rumors[J].Today's mass media, 2020, 28(11):152-156.)
[32] 贾若男, 王晰巍, 孙玉姣.社交媒体中突发公共卫生事件网络辟谣信息主体研究[J].图书情报工作, 2021, 65(19):16-25. (JIA R N, WANG X W, SUN Y J.Research on the subject of information to refute rumors of public health emergencies in social media[J].Library and information service, 2021, 65(19):16-25.)
[33] 李晓霞.基于微博与微信传播模式的差异分析[J].新媒体研究, 2015, 1(11):7-8. (LI X X.Difference analysis of communication mode based on microblog and Wechat[J].New media research, 2015, 1(11):7-8.)
[34] 张省, 蔡永涛.算法时代"信息茧房" 生成机制研究[J].情报理论与实践, 2022, 46(4):67-73. (ZHANG X, CAI Y T.Research on the generation mechanism of "information cocoon" in the algorithm era[J].Information studies:theory & application, 2022, 46(4):67-73.)
[35] 陈思媛, 林佳议, 刘思雅, 等.突发公共事件中的短视频谣言研究——基于微博辟谣平台的谣言样本分析[J].新闻研究导刊, 2021, 12(21):58-61. (CHEN S Y, LIN J Y, LIU S Y, et al.Research on short video rumors in public emergencies:a sample analysis of rumors based on Weibo rumor refuting platform[J].Journal of news research, 2021, 12(21):58-61.)
[36] 凡志强, 陈谦.突发公共卫生事件中辟谣短视频的传播效果研究——基于35起谣言事件的模糊集定性比较分析[J].新媒体研究, 2022, 8(5):1-8. (FAN Z Q, CHEN Q.Study on the communication effect of short video to refute rumors in public health emergencies:qualitative comparative analysis based on fuzzy set of 35 rumors[J].New media research, 2022, 8(5):1-8.)
[37] 张明, 杜运周.组织与管理研究中QCA方法的应用:定位, 策略和方向[J].管理学报, 2019, 16(9):1312-1323. (ZHANG M, DU Y Z.Application of the QCA approach to organizational and management research:positioning, strategy, and direction[J].Chinese journal of management, 2019, 16(9):1312-1323.)
[38] 李帅, 魏虹, 倪细炉, 等.基于层次分析法和熵权法的宁夏城市人居环境质量评价[J].应用生态学报, 2014, 25(9):2700-2708. (LI S, WEI H, NI X L, et al.Evaluation of urban human settlement quality in Ningxia based on AHP and the entropy method[J].Chinese journal of applied ecology, 2014, 25(9):2700-2708.)
[39] 张鉴, 束龙仓, 张琛, 等.基于熵权的综合指数法在地下水水质评价中的应用[J].水电能源科学, 2010, 28(8):30-32. (ZHANG J, SHU L C, ZHANG S, et al.Comprehensive index based entropy and weight for groundwater quality evaluation[J].Water resources and power, 2010, 28(8):30-32.)
[40] 徐慧娜, 郑磊.面向用户利用的开放政府数据平台:纽约与上海比较研究[J].电子政务, 2015(7):37-45. (XU H N, ZHENG L.Open government data platform for user utilization:a comparative study between New York and Shanghai[J].E-government, 2015(7):37-45.)
[41] 李宗敏, 张琪, 杜鑫雨.基于辟谣微博的互动及热门评论情感倾向的辟谣效果研究——以新冠疫情相关辟谣微博为例[J].情报杂志, 2020, 39(11):90-95, 110. (LI Z M, ZHANG Q, DU X Y.Research on rumor-refutation effectiveness based on the interactions and popular comments' emotional tendencies of the rumor-refuting microblogs:taking rumor-refuting microblogs related with COVID-2019 as an example[J].Journal of intelligence, 2020, 39(11):90-95, 110.)
[42] 张延飞, 田鑫月, 辛丹.中国官媒辟谣话语建构策略研究[J].南京邮电大学学报(社会科学版), 2022, 24(2):56-66. (ZHANG Y F, TIAN X Y, XIN D.Research on the construction strategy of rumor refutation discourse in Chinese official media[J].Journal of Nanjing University of Posts and Telecommunications (social science edition), 2022, 24(2):56-66.)
[43] CHEN B, CHEN X, PAN J, et al.Dissemination and refutation of rumors during the COVID-19 outbreak in China:infodemiology study[J].Journal of medical Internet research, 2021, 23(2):e22427.
[44] 蒲红果.舆情回应进入"黄金1小时" 时代[J].新闻战线, 2015(21):108-109. (PU H G.Public opinion response into the "golden hour" era[J].The press, 2015(21):108-109.)
[45] PINSKY L E, WIPF J E.A picture is worth a thousand words:practical use of videotape in teaching[J].Journal of general internal medicine, 2000, 15(11):805-810.
[46] 张兆阳, 吕妍, 罗思琪, 等.突发公共卫生事件背景下微博影响力评价——以20家主流媒体微博为例[J].信息资源管理学报, 2021, 11(2):16-27, 51. (ZHANG Z Y, LYU Y, LUO S Q, et al.The evaluation of microblog influence under the background of public health emergencies:based on 20 mainstream media microblogs[J].Journal of information resources management, 2021, 11(2):16-27, 51.)
[47] FISS P C.Building better causal theories:a fuzzy set approach to typologies in organization research[J].Academy of management journal, 2011, 54(2):393-420.
[48] CODURAS A, CLEMENTE J A, RUIZ J.A novel application of fuzzy-set qualitative comparative analysis to GEM data[J].Journal of business research, 2016, 69(4):1265-1270.
[49] RIHOUX B, RAGIN C C.Configurational comparative methods:qualitative comparative analysis (QCA) and related techniques[M].Thousand Oaks:Sage, 2008.
[50] 唐鹏程, 杨树旺.企业社会责任投资模式研究:基于价值的判断标准[J].中国工业经济, 2016(7):109-126. (TANG P C, YANG S W.Research on corporate social responsibility investment model:value-based judgment criteria[J].China industrial economics, 2016(7):109-126.)
[51] 李小洁, 矫雅楠.图书馆自动化系统选型策略的多组态路径研究[J].图书情报工作, 2023, 67(12):50-57. (LI X J, JIAO Y N.Research on multi configuration path of library automation system selection strategy[J].Library and information service, 2023, 67(12):50-57.)
[52] 王艳华, 刘岩芳, 韩瑞雪.网络舆情传播中微博意见领袖的影响因子研究[J].情报科学, 2018, 36(6):113-117, 161. (WANG Y H, LIU Y F, HAN R X.Research on impact factors of opinion leaders in the Internet public opinion propagation[J].Information science, 2018, 36(6):113-117, 161.)
[53] 王勇, 刘乐易, 迟熙, 等.流量博弈与流量数据的最优定价——基于电子商务平台的视角[J].管理世界, 2022, 38(8):116-132. (WANG Y, LIU L Y, CHI X, et al.Traffic game and the optimal pricing of traffic data:based on the perspective of e-commerce platform[J].Journal of management world, 2022, 38(8):116-132.)
