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2022 , Vol. 66 >Issue 22: 55 - 65

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.22.005

THEORETICAL STUDY

A Study on the Generation Mechanism of Social Media Users' Health Information Avoidance Behaviors Under the Risk Perception Perspective

  • Peng Lihui ,
  • Jiang Xin
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  • School of Pubic Management, Xiangtan University, Xiangtan 411105

Received date: 2022-05-05

  Revised date: 2022-09-05

  Online published: 2022-12-02

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Abstract

[Purpose/Significance] To explore the generation factors of social media users’ health information avoidance behaviors and their internal mechanism under the risk perception perspective, in order to provide scientific guidance for improving the quality of social media health information services and users’ health management decisions. [Method/Process] Based on the stimulus-response-organism (S-O-R) theory and the risk information seeking and processing (RISP) model, the study analyzed the perceptual process and influencing elements of social media users’ health information avoidance behaviors in the risk perception domain, and constructed a generation mechanism model of social media users’ health information avoidance behaviors from four stages: attention elicitation, situation perception, emotion fermentation, and awareness control. [Result/Conclusion] This paper explains the logical connection between the generation elements of social media users’ health information avoidance behaviors from the risk perception perspective, reveals the internal relationship between the elements and the mechanism of each stage, and proposes a strategy for social media users’ health information avoidance behavior management.

Key words： risk perception; social media users; health information avoidance

Cite this article

Peng Lihui , Jiang Xin . A Study on the Generation Mechanism of Social Media Users' Health Information Avoidance Behaviors Under the Risk Perception Perspective[J]. Library and Information Service, 2022 , 66(22) : 55 -65 . DOI: 10.13266/j.issn.0252-3116.2022.22.005

References

[1] Health Research Institute of PwC. Social media "likes" healthcare:from marketing to social business[EB/OL].[2021-12-21].https://www.healthworkscollective.com/wp-content/uploads/2016/02/2012_social_media_likes_healthcare.html.
[2] 金晓玲,章甸禹,冯慧慧.移动社交媒体中健康类信息传播效应实证研究[J].情报科学,2018,36(9):129-135.
[3] 王睿,张恩普,李婷.基于微博的突发事件网络舆情对策研究[J].情报科学,2016,34(4):94-98.
[4] PEW RESEARCH CENTER. Mobile technology and its social impact survey 2018[EB/OL].[2021-12-21].https://www.pewreseach.org.html.
[5] LINK E. Information avoidance during health crises:predictors of avoiding information about the COVID-19 pandemic among german news consumers[J]. Information processing & management, 2021, 58(6):102714.
[6] 胡峰,温志强.面向重大疫情防控的应急情报生成机理及效能提升策略研究——基于融知发酵模型[J].情报资料工作,2021,42(4):38-47.
[7] DAI B, ALI A, WANG H. Exploring information avoidance intention of social media users:a cognition-affect-conation perspective[J]. Internet research, 2020,30(5):1455-1478.
[8] GALLOTTI R, VALLE F, CASTALDO N, et al. Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics[J]. Nature human behaviour, 2020, 4(12):1285-1293.
[9] BRASHERS D E. Communication and uncertainty management[J]. Journal of communication, 2001, 51(3):477-497.
[10] CHOI D H, YOO W, NOH G Y, et al. The impact of social media on risk perceptions during the MERS outbreak in South Korea[EB/OL].[2021-12-21]. https://www.sciencedirect.com/science/article/pii/S074756321730153X.
[11] EMANUEL A S, KIVINIEMI M T, HOWELL J L, et al. Avoiding cancer risk information[J]. Social science & medicine, 2015, 147:113-120.
[12] PEACOCK Z S, POGREL M A, SCHMIDT B L. Exploring the reasons for delay in treatment of oral cancer[J]. Journal of the American Dental Association, 2008, 139(10):1346-1352.
[13] LIPSEY N P, SHEPPERD J A. Powerful audiences are linked to health information avoidance:results from two surveys[EB/OL].[2021-12-21]. https://www.sciencedirect.com/science/article/pii/S0277953619300462.
[14] 苏航.残疾人健康信息回避行为影响因素研究[J].情报探索,2020(9):23-28.
[15] LIAO Y, JINDAL G, JEAN B S. The role of self-efficacy in cancer information avoidance[C]//International conference on information. Berlin:Springer, 2018:498-508.
[16] MELNYK D, SHEPPERD J A. Avoiding risk information about breast cancer[J]. Annals of behavioral medicine, 2012(2):216-224.
[17] YANG Z J, KAHLOR L A. What, me worry? the role of affect in information seeking and avoidance[J]. Science communication, 2013, 35(2):189-212.
[18] GOODALL C E, REED P. Threat and efficacy uncertainty in news coverage about bed bugs as unique predictors of information seeking and avoidance:an extension of the EPPM[J].Health communication,2013,28(1):63-71.
[19] HYMAN H H, SHEATSLEY P B. Some reasons why information campaigns fail[J]. Public opinion quarterly, 1947, 11(3):412-423.
[20] JOHNSON J D, MEISCHKE H. A comprehensive model of cancer-related information seeking applied to magazines[J]. Human communication research, 1993, 19(3):343-367.
[21] WILSON T D. Models in information behaviour research[J]. Journal of documentation, 1999, 55(3):249-270.
[22] SWEENY K, MELNYK D, MILLER W, et al. Information avoidance:who, what, when, and why[J]. Review of general psychology, 2010, 14(4):340-353.
[23] 艾文华,胡广伟,赵宇翔,等.健康信息规避行为影响因素研究:基于元分析的探索[J].情报资料工作,2021,42(6):63-73.
[24] HOWELL J L, RATLIFF K A, SHEPPERD J A. Automatic attitudes and health information avoidance[J]. Health psychology, 2016, 35(8):816-823.
[25] 陈琼,宋士杰,赵宇翔.突发公共卫生事件中信息过载对用户信息规避行为的影响:基于COVID-19信息疫情的实证研究[J].情报资料工作,2020,41(3):76-88.
[26] 孙海霞.国外健康信息规避行为研究综述[J].图书情报工作,2021,65(9):138-150.
[27] 闻心玥,程慧平.面向突发公共卫生事件的大学生社交媒体用户信息规避行为影响因素研究[J].信息资源管理学报,2022,12(2):25-38.
[28] 王宁,李月琳,牛志鹏, 等.健康信息规避行为与维持性血液透析患者自我健康管理研究[J/OL].情报科学:1-20[2022-09-05].http://kns.cnki.net/kcms/detail/22.1264.G2.20220121.1823.004.html.
[29] 彭丽徽,张芊慧.中老年人健康信息规避行为影响因素与关联路径研究——基于扎根理论的探索性分析[J].图书馆学研究,2022(1):77-86,76.
[30] 岳欣,陈烨,杨康佳, 等.运动损伤人群健康信息规避行为影响因素及行为模式研究[J/OL].情报科学:1-18[2022-09-05].http://kns.cnki.net/kcms/detail/22.1264.G2.20220617.1837.032.html.
[31] GRIFFIN R J, DUNWOODY S, NEUWIRTH K. Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors[J]. Environmental research, 1999, 80(2):230-245.
[32] KAHLOR L A, DUNWOODY S, GRIFFIN R J. Attributions in explanations of risk estimates[J]. Public underst, 2002, 11(3):243-257.
[33] YANG Z J, McCOMAS K, GAY G, et al. From information processing to behavioral intentions:exploring cancer patients' motivations for clinical trial enrollment[J]. Patient education and counseling, 2010, 79(2):231-238.
[34] REMBISCHEVSKI P, CALDAS E D. Risk perception related to food[J]. Food science and technology, 2020, 40(4):779-785.
[35] GRIFFIN R J, DUNWOODY S, YANG Z J. Linking risk messages to information seeking and processing[J]. Annals of the International Communication Association, 2013, 36(1):323-362.
[36] LINK E, BAUMANN E. Explaining cancer information avoidance comparing people with and without cancer experience in the family[J]. Psycho-oncology, 2021, 31(3):442-449.
[37] 刘婧,伍麟.从风险信息到自我认同:RISP模型的范式演变[J].心理技术与应用,2016,4(7):434-443.
[38] KAHLOR L A. PRISM:a planned risk information seeking model[J]. Health communication, 2010, 25(4):345-356.
[39] HOWELL J L, CROSIER B S, SHEPPERD J A. Does lacking threat-management resources increase information avoidance? a multi-sample, multi-method investigation[EB/OL].[2021-12-21]. https://www.sciencedirect.com/science/article/pii/S009265661400021X.
[40] MILES A, VOORWINDER S, CHAPMAN S, et al. Psychologic predictors of cancer information avoidance among older adults:the role of cancer fear and fatalism[J]. Cancer epidemiology and prevention biomarkers, 2008, 17(8):1872-1879.
[41] JENSEN J D, CARCIOPPOLO N, KING A J, et al. The cancer information overload (CIO) scale:establishing predictive and discriminant validity[J]. Patient education and counseling, 2014, 94(1):90-96.
[42] LERNER J S, LI Y, VALDESOLO P, et al. Emotion and decision making[J]. Annual review of psychology, 2015, 66(1):799-823.
[43] JENSEN J D, LIU M, CARCIOPPOLO N, et al. Health information seeking and scanning among US adults aged 50-75 years:testing a key postulate of the information overload model[J]. Health informatics journal,2017,23(2):96-108.
[44] 潘珊珊. 不同任务情境中描述性社会规范对风险决策的影响[D].杭州:浙江大学,2018.
[45] DUNWOODY S, GRIFFIN R J. The SAGE handbook of risk communication[M]. Los Angeles:Sage Publications, 2015:102-116.
[46] DELINE M B, KAHLOR L A. Planned risk information avoidance:a proposed theoretical model[J]. Communication theory, 2019, 29(3):360-382.
[47] MEHRABIAN A, RUSSELL J A. The basic emotional impact of environments[J]. Perceptual and motor skills, 1974, 38(1):283-301.
[48] 郭路生,廖丽芳,胡佳琪.社交媒体用户健康信息传播行为的影响机制研究——基于风险认知与问题解决情境理论[J].现代情报,2020,40(3):148-156.
[49] 张艳丰,王羽西.突发公共卫生事件下社交媒体用户健康信息焦虑生成机理及管理策略研究[J].情报资料工作,2021,42(4):89-95.
[50] 王美月,王萍,李奉芮, 等.移动微媒体用户错失焦虑症(FoMO)生成机理研究——基于认知心理学视角[J].情报资料工作,2019,40(5):77-83.
[51] 王馨.分析为要洞见惟彰——以重塑情报分析能力为核心的智库建设框架和路径研究[J].情报理论与实践,2020,43(8):9-14.
[52] ENDSLEY M R. Toward a theory of situation awareness in dynamic systems[J]. Human factors, 1995, 37(1):32-64.
[53] 杨雪,陈为东,马捷.基于认知失调的网络信息生态系统结构模型研究[J].情报理论与实践,2015,38(8):50-55.
[54] 王馨.从认知心理学视角看情报分析理论的前沿进展[J].情报学进展,2020,13(0):165-201.
[55] 宋士杰,赵宇翔,宋小康,等.互联网环境下失真健康信息可信度判断的影响因素研究[J].中国图书馆学报,2019,45(4):72-85.
[56] 吕欣,蔡梦思,陈彬.桌面推演技术前沿及发展趋势[J].中国科学基金,2021,35(5):742-751.
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