情报研究

社交网络用户虚假信息揭露行为研究:认知与情绪双路径视角

  • 叶凤云 ,
  • 常琳 ,
  • 叶雨欣 ,
  • 郑敏
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  • 1 安徽大学管理学院 合肥 230601;
    2 安徽建筑大学公共管理学院 合肥 230022
叶凤云,教授,博士,硕士生导师,研究选题与框架拟定、论文理论部分撰写与修改;叶雨欣,硕士研究生,数据收集;郑敏,副教授,硕士生导师,数据收集。

收稿日期: 2024-03-12

  修回日期: 2024-06-16

  网络出版日期: 2024-11-09

基金资助

本文系国家社会科学基金项目“认知与情绪双路径视角下社交网络虚假信息用户趋避行为研究”(项目编号:23BTQ060)研究成果之一。

Research on False Information Disclosure Behavior of Social Network Users: From the Perspective of Cognitive and Emotional Dual Paths

  • Ye Fengyun ,
  • Chang Lin ,
  • Ye Yuxin ,
  • Zheng Min
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  • 1 School of Management, Anhui University, Hefei 230601;
    2 School of Public Management, Anhui Jianzhu University, Hefei 230009

Received date: 2024-03-12

  Revised date: 2024-06-16

  Online published: 2024-11-09

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on the Approaching and Avoidance Behavior of Social Networks False Information Users from Cognitive and Emotional Dual Paths Perspective” (Grant No. 23BTQ060).

摘要

[目的/意义] 探讨认知与情绪因素对社交网络用户虚假信息揭露意愿及行为的影响,促进社交网络健康发展。[方法/过程] 通过问卷调查获取847份有效问卷,综合运用结构方程模型和模糊集定性比较分析进行实证研究,从认知与情绪双路径视角探讨用户揭露虚假信息的意愿及行为。[结果/结论] ①卷入度、感知价值、感知风险、自我效能等认知因素正向影响揭露意愿;②随着情绪唤醒程度的提高,用户揭露意愿会相应增加,且在消极情绪下,用户揭露虚假信息的意愿更强烈;③在认知因素影响下,用户会更关注信息质量;在情绪因素影响下,用户会更关注信源声誉;④自我效能和情绪唤醒正向调节揭露意愿对揭露行为的影响;⑤用户虚假信息揭露意愿存在两条触发路径,自我效能皆是核心因素。

本文引用格式

叶凤云 , 常琳 , 叶雨欣 , 郑敏 . 社交网络用户虚假信息揭露行为研究:认知与情绪双路径视角[J]. 图书情报工作, 2024 , 68(21) : 79 -92 . DOI: 10.13266/j.issn.0252-3116.2024.21.008

Abstract

[Purpose/Significance] This article investigates the cognitive and emotional factors influencing users’ willingness and behavior to disclose false information on social networks, so as to promote the healthy development of social networks. [Method/Process] It explored the complex mechanism of users’ disclosure willingness and behavior from the perspective of dual paths of cognition and emotion. It analyzed the data from 847 valid questionnaires using SEM and fsQCA. [Result/Conclusion] ①Engagement, perceived value, perceived risk, and self-efficacy positively affect the disclosure willingness and the disclosure behavior.②Emotional arousal positively influences users’ willingness to disclose information. Negative emotion leads to a stronger willingness to disclose false information. ③Cognitive factors make users more focus on information quality, while emotional factors make users more focus on the reputation of information sources. ④Self-efficacy and emotional arousal show positive regulation in the influence of disclosure willingness on disclosure behavior. ⑤Two paths triggering users’ willingness to disclose false information are found, with self-efficacy as the core factor.

参考文献

1] 王剑, 王玉翠, 黄梦杰. 社交网络中的虚假信息: 定义、检测及控制[J]. 计算机科学, 2021, 48(8): 263-277. (WANG J, WANG Y C, HUANG M J. False information in social networks: definition, detection and control[J]. Computer science, 2021, 48(8): 263-277.)
[2] ZANNETTOU S, SIRIVIANOS M, BLACKBURN J, et al. The web of false information: rumors, fake news, hoaxes, clickbait, and various other shenanigans[J]. Journal of data and information quality (JDIQ), 2019, 11(3): 1-37.
[3] SHANG J, SHEN J, SUN T, et al. Investigating rumor news using agreement-aware search[C]//Proceedings of the 27th ACM international conference on information and knowledge management. Torino: ACM press, 2018: 2117-2125.
[4] 付少雄, 孙岚, 邓胜利, 等. 应对理论视角下短视频用户虚假健康信息采纳的动因研究[J]. 情报资料工作, 2023, 44(6): 100-110. (FU S X, SUN L, DENG S L. A study on the motivation of short video users' false health information adoption from the perspective of coping theory[J]. Information and documentation services, 2023, 44(6): 100-110.)
[5] WOJDYNSKI B W, BINFORD M T, JEFFERSON B N. Looks real, or really fake? Warnings, visual attention and detection of false news articles[J]. Open information science, 2019, 3(1): 166-180.
[6] TANDOC E C, LIM D, LING R. Diffusion of disinformation: how social media users respond to fake news and why[J]. Journalism, 2020, 21(3): 381-398.
[7] 莫祖英, 刘欢, 盘大清.社交媒体用户虚假信息验证行为影响模型实证研究[J]. 信息资源管理学报, 2023(4): 72-83. (MO Z Y, LIU H, PAN D Q. An empirical study on the influence model of social media users' disinformation verification behavior[J]. Journal of information resources management, 2023(4): 72-83.)
[8] 莫祖英, 刘欢, 王垲烁. 社交媒体用户虚假信息从众传播行为的影响因素差异性分析[J]. 情报科学, 2024, 42(2): 64-74. (MO Z Y, LIU H, WANG K S. Analysis of differential influencing factors in social media users' conformity behavior in spreading false information[J]. Information science, 2024, 42(2): 64-74.)
[9] GODWIN R, CHAIRUNNISA F, FITRI R A. Information avoidance behavior regarding hoaxes indicators[J]. Journal psikology, 2020, 19(1): 26-34.
[10] 查先进, 曹芬芳, 郭佳. 认知转变和情感依恋视角下适应性学术信息搜寻行为研究[J]. 情报科学, 2019, 37(12): 27-33. (ZHA X J, CAO F F, GUO J. Study on adaptive academic information seeking behavior from the perspectives of cognitive switching and attachment [J]. Information science, 2019, 37(12): 27-33.)
[11] 卢新元, 陈肖潇, 王雪霖, 等. 角色压力视角下社交网络用户信息暂避意愿研究——基于SEM与NCA的混合方法[J]. 情报杂志, 2023, 42(8): 185-193. (LU X Y, CHEN X X, WANG X L, et al. Research on the causes of temporary information avoidance from the perspective of role stress: a mixed method study [J]. Journal of intelligence, 2023, 42(8): 185-193.)
[12] 张艳丰, 刘敏. 移动社交媒体用户数字囤积行为生成机理与引导策略研究[J]. 情报资料工作, 2024, 45(2): 48-56. (ZHANG Y F, LIU M. Research on the formation mechanism and guiding strategies of digital hoarding behavior of mobile social media users[J]. Information and documentation services, 2024, 45(2): 48-56.)
[13] 叶许婕, 赵宇翔, 张轩慧. Reaction视频的用户弹幕评论行为生成机制探索——基于认知-情感系统理论[J]. 数据分析与知识发现, 2023, 7(2): 1-14. (YE X J, ZHAO Y X, ZHANG X H. Exploring the generation mechanism of user's danmaku commenting behavior in reaction videos based on cognitive-affective personality system theory [J]. Data analysis and knowledge discovery, 2023, 7(2): 1-14.)
[14] 柯青, 王秀峰, 成颖. 任务复杂性与用户认知和Web导航行为关系探究[J]. 情报学报, 2016, 35(11): 1208-1222. (KE Q, WANG X F, CHENG Y. Correlations between task complexity and users' cognition and web navigating behavior[J]. Journal of the China Society for Scientific and Technical Information, 2016, 35(11): 1208-1222.)
[15] PIROLLI P, FU W T. SNIF-ACT: a model of information foraging on the World Wide Web[C]//International conference on user modeling. Berlin: Springer, 2003: 45-54.
[16] 柯青, 王秀峰. Web导航模型综述——信息觅食理论视角[J]. 现代图书情报技术, 2014(2): 32-40. (KE Q, WANG X F. A review on web navigation model: information foraging theory perspective[J]. Data analysis and knowledge discovery, 2014(2): 32-40.)
[17] SWELLER J. Cognitive load during problem solving: effects on learning[J]. Cognitive science, 1988, 12(2): 257-285.
[18] FULTON R W. Bovine respiratory disease research (1983-2009)[J]. Animal health research reviews, 2009, 10(2): 131-139.
[19] SAVOLAINEN R. Emotions as motivators for information seeking: a conceptual analysis[J]. Library & information science research, 2014, 36(1): 59-65.
[20] FREDRICKSON B L. The role of positive emotions in positive psychology: the broaden-and-build theory of positive emotions[J]. American psychologist, 2001, 56(3): 218.
[21] FORGAS J P. Mood and judgment: the affect infusion model (AIM)[J]. Psychological bulletin, 1995, 117(1): 39.
[22] 裘江南, 葛一迪. 社交媒体情绪对信息行为的影响:基于两类灾害事件的比较研究[J]. 管理科学, 2020, 33(1): 3-15. (QIU J N, GE Y D. Influence of emotions in social media on information behavior in two types of typical disasters[J]. Journal of management science, 2020, 33(1): 3-15.)
[23] ORTONY A. The cognitive structure of emotions[M]. Cambridge: Cambridge University Press, 1990: 34-58.
[24] TANG L R, JANG S S, MORRISON A. Dual-route communication of destination websites[J]. Tourism management, 2012, 33(1): 38-49.
[25] PETTY R E, CACIOPPO J T. The elaboration likelihood model of persuasion[M]. New York: Academic Press, 1986: 123-205.
[26] 支凤稳, 张萌, 赵梦凡, 等. 双路径视角下科学数据共享行为的影响因素研究[J]. 信息资源管理学报, 2021, 11(6): 40-50. (ZHI F W, ZHANG M, ZHAO M F, et al. Research on influencing factors of scientific data sharing behavior from the perspective of dual paths[J]. Journal of information resources management, 2021, 11(6): 40-50.)
[27] SHIRI A A, REVIE C. The effects of topic complexity and familiarity on cognitive and physical moves in a thesaurus-enhanced search environment[J]. Journal of information science, 2003, 29(6): 517-526.
[28] RUSSELL J A. A circumplex model of affect[J]. Journal of personality and social psychology, 1980, 39(6): 1161-1178.
[29] ZAICHKOWSKY J L. Measuring the involvement construct[J]. Journal of consumer research, 1985, 12(3): 341-352.
[30] RIEH S Y, DANIELSON D R. Credibility: a multidisciplinary frame work[J]. Annual review of information science and technology, 2007, 41(1): 307-364.
[31] EL-TOUKHY S. Parsing susceptibility and severity dimensions of health risk perceptions[J]. Journal of health communication, 2015(20): 499-511.
[32] STORBECK J, CLORE G L. Affective arousal as information: how affective arousal influences judgments, learning, and memory[J]. Social and personality psychology compass, 2008, 2(5): 1824-1843.
[33] 朱丽叶, 袁登华, 张静宜. 在线用户评论质量与评论者等级对消费者购买意愿的影响——产品卷入度的调节作用[J]. 管理评论, 2017, 29(2): 87-96. (ZHU L Y, YUAN D H, ZHANG J Y. The impact of online user reviews quality and commentators rank on consumer purchasing intention: the moderating role of product involvement[J]. Management review, 2017, 29(2): 87-96.)
[34] 赵文君, 孙丽, 易明. 在线健康谣言辟谣效果的影响机制研究: 信息框架、信息来源及话题卷入度的作用[J]. 图书情报工作, 2023, 67(4): 80-90. (ZHAO W J, SUN L, YI M. Research on the influence mechanism of online health rumor refuting effect: the role of message framework, information source and topic involvement[J]. Library and information service, 2023, 67(4): 80-90.)
[35] 陈海贤, 何贵兵. 心理距离对跨期选择和风险选择的影响[J]. 心理学报, 2014, 46(5): 677-690. (CHEN H X, HE G B. The effect of psychological distance on intertemporal choice and risky choice[J]. Acta psychologica sinica, 2014, 46(5): 677-690.)
[36] RIEH S Y, DANIELSON D R. Credibility: a multidisciplinary frame work[J]. Annual review of information science and technology, 2007, 41(1): 307-364.
[37] SBAFFI L, ROWLEY J. Trust and credibility in web-based health information: a review and agenda for future research[J]. Journal of medical Internet research, 2017, 19(6): 1-17.
[38] 连宪成, 余明阳. 赞助事实揭露与否下微信营销信息质量对分享意愿的影响研究[J]. 上海管理科学, 2022, 44(5): 90-95. (LIAN X C, YU M Y. Exploring the impact of Wechat marketing information quality on sharing intention conditional on sponsorship disclosure[J]. Shanghai management science, 2022, 44(5): 90-95.)
[39] 杨晓燕, 周懿瑾. 绿色价值:顾客感知价值的新维度[J]. 中国工业经济, 2006(7): 110-116. (YANG X Y, ZHOU Y J. Green value: a new dimension of customer perceived values[J]. China industrial economics, 2006(7): 110-116.)
[40] GRIFFIN J, YANG Z, TERHUURNE E, et al. After the flood[J]. Science communication, 2008(29): 285-315.
[41] TANDOC C, LIM D, LING R. Diffusion of disinformation: how social media users respond to fake news and why[J]. Journalism, 2020(21): 381-398.
[42] ARIF A, ROBINSON J J, STANEK S A, et al. A closer look at the self-correcting crowd: examining corrections in online rumors[C]//Proceedings of the 2017 ACM conference on computer supported cooperative work and social computing. Portland: Association for Computing Machinery, 2017: 155-168.
[43] 肖喜珠, 杨闻远, 高慧敏, 等. “后真相”时代的风险感知与反击: 青年社交媒体用户信息行为研究[J]. 新媒体研究, 2022(21): 35-46. (XIAO X Z, YANG W Y, GAO H M. Risk perception and counterattack in the "post-truth" era: a study on the information behavior of youth social media users[J]. New media research, 2022(21): 35-46.)
[44] 孟昭兰. 当代情绪理论的发展[J]. 心理学报, 1985(2): 209-215. (MENG Z L. The development of contemporary emotion theory [J]. Acta psychologica sinica, 1985(2): 209-215.)
[45] BARSADE S G. The ripple effect: emotional contagion and its influence on group behavior[J]. Administrative science quarterly, 2002, 47(4): 644-675.
[46] ARNOLD M B. Emotion and personality[M]. New York: Columbia University Press, 1960: 516-519.
[47] HILLIGOSS B, RIEH S Y. Developing a unifying framework of credibility assessment: construct, heuristics, and interaction in context[J]. Information processing and management, 2008, 44(4): 1467-1484.
[48] 宋士杰, 赵宇翔, 宋小康, 等. 信息源对数字原住民健康信息可信度判断的启发式实验研究[J]. 情报学报, 2020, 39(4): 399-408. (SONG S J, ZHAO Y X, SONG X K. Impact of source selection on health information credibility judgment: a heuristic information processing experiment among digital natives[J]. Journal of the China Society for Scientific and Technical Information, 2020, 39(4): 399-408.)
[49] 莫祖英, 王垲烁, 赵悦名. 社交媒体用户虚假信息从众传播行为影响模型实证研究[J]. 情报资料工作, 2023, 44(1): 72-81. (MO Z Y, WANG K S, ZHAO Y M. Empirical research on the influence model of social media users' false information conformity spreading behavior [J]. Information and documentation services, 2023, 44(1): 72-81.)
[50] 王雨心. 基于关系卷入度的网红粉丝用户粘性研究[D]. 大连: 大连理工大学, 2018: 11-15. (WANG Y X. Research on user stickiness of internet celebrity fans based on relationship involvement [D]. Dalian: Dalian University of Technology, 2018: 11-15.)
[51] 王海杏, 杨建林, 申姝婧. 基于元分析的网络健康信息可信度影响因素研究[J]. 情报科学, 2023, 41(9): 69-77. (WANG H X, YANG J L, SHEN S J. Influencing factors of online health information credibility based on meta-analysis [J]. Information science, 2023, 41(9): 69-77.)
[52] BORAH P, XIAO X. The importance of "likes’: the interplay of message framing, source, and social endorsement on credibility perceptions of health information on Facebook[J]. Journal of health communication, 2018, 23(4): 399-411.
[53] ROOZENBEEK J, SCHNEIDER C R, DRYHURST S, et al. Susceptibility to misinformation about COVID-19 around the world[J]. Royal society open science, 2020, 7(10): 1-15.
[54] 袁湘玲. 卷入度、感知价值与顾客消费意向: 考虑价格框架的调节效应[J]. 商业经济研究, 2022(19): 40-44. (Yuan X L. Involvement, perceived value and customer consumption intentions: considering the moderating effects of price frames[J]. Journal of commercial economics, 2022(19): 40-44.)
[55] MOLINILLO S. Impact of perceived value on intention to use voice assistants: The moderating effects of personal innovativeness and experience[J]. Psychology & Marketing, 2023, 40(11): 2272-2290.
[56] 高申春. 自我效能理论评述[J]. 心理发展与教育, 2000(1): 60-63. (GAO S C. Review of self-efficacy theory [J]. Psychological development and education, 2000(1): 60-63.)
[57] VENKATESH V, MORRIS M G, DAVIS G B, et al. User acceptance of information technology: toward a unified view[J]. MIS quarterly, 2003: 425-478.
[58] 秦琴, 柯青, 谢雨杉. 全球健康危机下公众的情感和认知——信息搜寻和加工行为视角下的探讨[J]. 现代情报, 2022, 42(4): 62-76. (QIN Q, KE Q, XIE Y S. Public affect and cognition under global health crisis: a study from the perspective of information seeking and processing behavior [J]. Journal of modern information, 2022, 42(4): 62-76.)
[59] 裘江南, 葛一迪. 社交媒体情绪对信息行为的影响: 基于两类灾害事件的比较研究[J]. 管理科学, 2020, 33(1): 3-15. (QIU J N, GE Y D. Influence of emotions in social media on information behavior in two types of typical disasters [J]. Journal of management science, 2019, 33(1): 3-15.)
[60] LIU L, TANG J, HAN J, et al. Learning influence from heterogeneous networks[J]. Data mining and knowledge discovery, 2012, 25(3): 511-544.
[61] 杨瑞仙, 许帆, 沈嘉宁, 等. 基于社会渗透理论的社交网络用户隐私披露行为研究[J]. 图书情报工作, 2023, 67(6): 84-95. (YANG R X, XU F, SHEN J N et al. Research on social network users' privacy disclosure behavior based on social penetration theory [J]. Library and information service, 2019, 67(6): 84-95.)
[62] 曹雅宁, 柯青. 为什么人们对虚假健康信息的易感性不同?——基于信息加工过程组态的分析[J]. 现代情报, 2023, 43(1): 40-54. (CAO Y N, KE Q. Why people show differences in their susceptibility to health misinformation?: Research based on information processing configurations [J]. Journal of modern information, 2023, 43(1): 40-54.)
[63] 刘子溪, 朱鹏. 基于详尽可能性模型的微博话题可信度影响因素研究[J]. 情报科学, 2017, 35(8): 94-100. (LIU Z X, ZHU P. Research on influencing factors of Weibo topic credibility based on detailed possibility model [J]. Information science, 2017, 35(8): 94-100.)
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