Risk perception and preventive behaviors: A comparison of the multifaceted effects of social media and authoritative media during the outbreak of COVID-19

REN Wei, ZHU Xiaowen, HU Yi

Chinese Journal of Journalism & Communication ›› 2021, Vol. 43 ›› Issue (5) : 23-42.

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Chinese Journal of Journalism & Communication ›› 2021, Vol. 43 ›› Issue (5) : 23-42.
Specific Topic / Communication in the COVID-19 pandemic

Risk perception and preventive behaviors: A comparison of the multifaceted effects of social media and authoritative media during the outbreak of COVID-19

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Abstract

Based on the communication effects studies and health behavior theories, the study incorporates social media, authoritative media, fear, perceived severity, and preventive behaviors in one analytical framework, and compares the underlying mechanisms of how different types of media use influence preventive behaviors for COVID-19. By using the structural equation model to analyze the data of 446 college students in Wuhan, the study found that the effects of social and authoritative media were complementary. Specifically, both of them could facilitate public’s preventive behaviors, but the mechanisms varied markedly; authoritative media use influenced COVID-19 preventive behaviors both directly and indirectly via perceived severity, whereas social media use only indirectly increased preventive behaviors, with fear and perceived severity serving as serial mediators. Generally, authoritative media had a stronger effect on the promotion of preventive behaviors than social media. Given the dynamic and diversification of today’s media landscape, this paper provides empirical evidence regarding the different roles of different media in risk governance in China.

Key words

social media / authoritative media / fear / risk perception / preventive behaviors

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REN Wei , ZHU Xiaowen , HU Yi. Risk perception and preventive behaviors: A comparison of the multifaceted effects of social media and authoritative media during the outbreak of COVID-19[J]. Chinese Journal of Journalism & Communication. 2021, 43(5): 23-42

References

[1]
白涛(2020). 我国新冠肺炎疫情期间主流媒体的传播策略分析——以“人民日报”微信公众号为例. 《新闻研究导刊》,(6),16-18.
[2]
樊博, 杨文婷, 孙轩(2017). 雾霾影响下的公众情绪与风险感知研究——以天津市微博用户为分析样本. 《东北大学学报(社会科学版)》,(5),489-496.
[3]
方杰, 张敏强, 邱皓政(2012). 中介效应的检验方法和效果量测量:回顾与展望. 《心理发展与教育》,(1),105-111.
[4]
方杰, 温忠麟(2018). 三类多层中介效应分析方法比较. 《心理科学》,(4),962-967.
[5]
冯强(2014). 《媒体传播对个体风险感知的影响研究——以食品安全议题为个案》.武汉大学新闻与传播学院博士论文.武汉.
[6]
贾哲敏, 孟天广(2020). 信息为轴:新冠病毒疫情期间的媒介使用、信息需求及媒介信任度. 《电子政务》,(5),14-27.
[7]
李晓静(2020). 突发公共卫生事件的信息来源、媒介信任与防控研究——以新冠肺炎疫情为例. 《图书与情报》,(2),19-24.
[8]
李祎惟, 郭羽(2020). 网络传播与认知风险:社交媒体环境下的风险信息搜索行为研究. 《国际新闻界》,(4),156-175.
[9]
刘洋(2020). 使用动机、错失焦虑与社交媒体沉迷——常态社会与危机情境中的比较研究. 《新闻与写作》,(10),57-67.
[10]
卢春天, 朱晓文(2016). 城乡地理空间距离对农村青年参与公共事务的影响——媒介和社会网络的多重中介效应研究. 《新闻与传播研究》,(1),41-57.
[11]
牛静, 孟筱筱(2019). 社交媒体信任对隐私风险感知和自我表露的影响:网络人际信任的中介效应. 《国际新闻界》,(7),91-109.
[12]
隋岩, 李燕(2020). 论网络语言对个体情绪社会化传播的作用. 《国际新闻界》,(1),79-98.
[13]
王丽丽(2016). 信息一致性视角下媒体报道对风险感知的影响. 《北京理工大学学报(社会科学版)》,(6),153-158.
[14]
王晓楠, 周林意(2020). 新媒体影响力对雾霾风险感知的作用机制. 《北京理工大学学报(社会科学版)》,(2),41-49.
[15]
闫岩, 温婧(2020). 新冠疫情早期的媒介使用、风险感知与个体行为. 《新闻界》,(6),50-61.
[16]
殷俊, 胡登全, 邓若伊(2014). 我国受众风险感知情况及对策研究——基于媒介使用的视角. 《现代传播》,(3),41-45.
[17]
章燕, 邱凌峰, 刘安琪, 钟淑娴, 李介辰(2020). 公共卫生事件中的风险感知和风险传播模型研究——兼论疫情严重程度的调节作用. 《新闻大学》,(3),31-45+118.
[18]
张克旭(2020). 社交媒体在疫情危机风险传播中的核心作用与传播机制. 《新闻与传播评论》,(3),26-35.
[19]
Bish A., & Michie S. (2010). Demographic and attitudinal determinants of protective behaviors during a pandemic: A review. British Journal of Health Psychology, 15(4), 797-824.
\n Purpose\n. A new strain of H1N1 influenza, also known as swine flu was confirmed in the UK in May 2009 and has spread to over 100 countries around the world causing the World Health Organization to declare a global flu pandemic. The primary objectives of this review are to identify the key demographic and attitudinal determinants of three types of protective behaviour during a pandemic: preventive, avoidant, and management of illness behaviours, in order to describe conceptual frameworks in which to better understand these behaviours and to inform future communications and interventions in the current outbreak of swine flu and subsequent influenza pandemics.\n
[20]
Chae J., & Lee C. (2019). The psychological mechanism underlying communication effects on behavioral intention: Focusing on affect and cognition in the cancer context. Communication Research, 46(5), 597-618.
[21]
Chang C. (2012). News coverage of health-related issues and its impacts on perceptions: Taiwan as an example. Health Communication, 27(2), 111-123.
This article examines how health news gets framed and the influence of exposure to news framed differently. A content analysis of Taiwanese newspapers indicates that health news in general, and H1N1 flu news in particular, is more likely to use alarm rather than coping frames. According to an experiment, exposure to H1N1 flu news in an alarm frame evokes greater fear and increases perceived severity and vulnerability, though it does not help develop prevention and treatment efficacy. A survey of the general public also shows that attention and exposure to televised news coverage of the H1N1 flu are associated with greater levels of worry and perceptions of the severity of and vulnerability to this health problem, but they are not related to issue knowledge, detection, or prevention efficacy. Thus, it is important for news coverage to provide information that increases the audience's efficacy when alerting it to health threats.
[22]
Choi D. H., Yoo W., Noh G. Y., & Park K. (2017). The impact of social media on risk perceptions during the MERS outbreak in South Korea. Computers in Human Behavior, 72, 422-431.
[23]
Daft R.L., & Lengel R.H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32 (5), 554-571.
This paper answers the question, “Why do organizations process information?” Uncertainty and equivocality are defined as two forces that influence information processing in organizations. Organization structure and internal systems determine both the amount and richness of information provided to managers. Models are proposed that show how organizations can be designed to meet the information needs of technology, interdepartmental relations, and the environment. One implication for managers is that a major problem is lack of clarity, not lack of data. The models indicate how organizations can be designed to provide information mechanisms to both reduce uncertainty and resolve equivocality.
[24]
Fornell C., & Larcker D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.
The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addition to the known problems related to sample size and power, is that it may indicate an increasing correspondence between the hypothesized model and the observed data as both the measurement properties and the relationship between constructs decline. Further, and contrary to common assertion, the risk of making a Type II error can be substantial even when the sample size is large. Moreover, the present testing methods are unable to assess a model's explanatory power. To overcome these problems, the authors develop and apply a testing system based on measures of shared variance within the structural model, measurement model, and overall model.
[25]
Fung T. K. F., Namkoong K., & Brossard D. (2011). Media, social proximity, and risk: A comparative analysis of newspaper coverage of Avian flu in Hong Kong and in the United States. Journal of Health Communication, 16, 889-907.
This study uses the psychometric paradigm (Renn & Rohrmann, 2000; Slovic, 1992) as an analytic framework to analyze the risk dimensions being conveyed in media coverage of Avian flu in Hong Kong and in the United States between 2003 and 2007. A quantitative content analysis of The New York Times and South China Morning Post stories showed different patterns of avian flu related risk content coverage. The differences revealed that dimensions related to dreadfulness, catastrophic potential, uncertainty, and unfamiliarity were more emphasized in The New York Times than in South China Morning Post. The authors discuss the implications.Copyright © Taylor & Francis Group, LLC
[26]
Gerbner G., Gross L., Morgan M., Signorielli N., & Shanahan J. (2002). Growing up with television:Cultivation processes.In Bryant, J. & Zillmann, D. (Eds.). Media Effects: Advances in Theory and Research (pp.43-67). New York, NY: Routledge.
[27]
Hair J. F., Black W. C., Babin B. J., Anderson R. E., & Tatham R. L. (2010). Multivariate data analysis (7th ed.). New Jersey, NJ: Pearson Education Inc.
[28]
Hu L., & Bentler P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1-55.
[29]
Jang K., & Park N. (2018). The effects of repetitive information communication through multiple channels on prevention behavior during the 2015 MERS outbreak in South Korea. Journal of Health Communication, 23(7), 670-678.
Although people nowadays engage in information communication repetitively through multiple channels during a public health crisis, the impacts of this communication on behavioral outcomes have not been fully examined. The present study empirically tests the effects of repetitive information communication through multiple channels (RICMC) on risk-prevention behavior. Additionally, the mediating roles of knowledge, perceived susceptibility, severity, response efficacy, and self-efficacy in the association between RICMC and risk-prevention behavior are examined. Analyses of online survey data (N = 1,036) collected during the 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea revealed that RICMC was positively associated with MERS-prevention behavior. Furthermore, this association was mediated by perceived susceptibility, severity, and self-efficacy. Although response efficacy and knowledge were not significant mediators, RICMC was positively associated with all mediating variables. The implications, theoretical contributions, and limitations of this study are discussed.
[30]
Loewenstein G., Weber E. U., Hsee C. K., & Welch N. (2001). Risk as feelings. Psychological Bulletin, 127(2), 267-286.
Virtually all current theories of choice under risk or uncertainty are cognitive and consequentialist. They assume that people assess the desirability and likelihood of possible outcomes of choice alternatives and integrate this information through some type of expectation-based calculus to arrive at a decision. The authors propose an alternative theoretical perspective, the risk-as-feelings hypothesis, that highlights the role of affect experienced at the moment of decision making. Drawing on research from clinical, physiological, and other subfields of psychology, they show that emotional reactions to risky situations often diverge from cognitive assessments of those risks. When such divergence occurs, emotional reactions often drive behavior. The risk-as-feelings hypothesis is shown to explain a wide range of phenomena that have resisted interpretation in cognitive-consequentialist terms.
[31]
Ludolph R., Schulz P. J., & Chen L. (2018). Investigating the effects of mass media exposure on the uptake of preventive measures by Hong Kong residents during the 2015 MERS outbreak: The mediating role of interpersonal communication and the perception of concern. Journal of Health Communication, 23(1), 1-8.
In 2015, South Korea experienced the largest outbreak to date of the Middle East Respiratory Syndrome (MERS-CoV) outside the Middle East. Fears related to a potential spread of the disease led to an increased alert level as well as heightened media coverage in the neighboring Hong Kong. A cross-sectional survey (N = 533) among residents of Hong Kong was conducted to assess the relationships between the effects of outbreak-related mass media coverage, interpersonal communication, the perceived level of concern in one's close environment, and the uptake of preventive measures. A serial multiple mediator model finds that interpersonal communication and higher perceived concern indirectly influence the effects of media coverage on the engagement in preventive actions. These results expand previous research on the mediating role of interpersonal communication and support assumptions about a modified two-step flow of communication in the context of a public health emergency.
[32]
McCombs M., & Reynolds A. (2002). News influence on our pictures of the world. In J.Bryant & D. Zillmann (Eds.). Media effects:Advances in theory and research (pp.1-16). New York, NY: Routledge.
[33]
Obar J. A., & Wildman S. (2015). Social media definition and the governance challenge: An introduction to the special issue. Telecommunications Policy, 39(9), 745-750.
[34]
Oh S., Paek, H-J., & Hove T. (2015). Cognitive and emotional dimensions of perceived risk characteristics, genre-specific media effects, and risk perceptions: the case of H1N1 influenza in South Korea. Asian Journal of Communication, 25(1), 14-32.
[35]
Oh S-H., Lee S. Y. & Han C. (2020). The effects of social media use on preventive behaviors during infectious disease outbreaks: The mediating role of self-relevant emotions and public risk perception. Health Communication, 1-10.
[36]
Paek H-J., Oh S. & Hove T. (2016). How fear-arousing news messages affect risk perceptions and intention to talk about risk. Health Communication, 31(9), 1051-1062.
[37]
Perse E. M. (2001). Media effects and society. Mahwah, NJ: Lawrence Erlbaum Associates.
[38]
Peter A., Chen M., & Carrasco S. (2016). Power interplay and newspaper digitization: Lessons from the Pengpai experiment. Global Media and China, 1(4), 497-510.
This study looks at Pengpai (The Paper), the first news app launched in China by a traditional media organization, in order to understand how media practices in the context of contemporary China have shifted. The case of Pengpai, which was released in July 2014, is not only about economical and technological modernization but also relates to the re-negotiation of the relationship between the state, professionals and the public. Drawing on interviews with journalists, content analysis, a newsroom observation and Pengpai’s coverage of certain events, this research sheds light on the covert power interplay at work in newspaper digitization in China. The ambivalent accomplishment of Pengpai reveals the relationship between the state and journalists as a negotiation process that includes dialogue and conflict.
[39]
Peterson M. (2008). Anthropology and mass communication: Media and myth in the new millennium.Retrieved from http://www.jstor.org/stable/j.ctt9qcnq6.
[40]
Rogers R. W. (1975). A protection motivation theory of fear appeals and attitude change. The Journal of Psychology, 91(1), 93-114.
[41]
Seo M. (2019). Amplifying panic and facilitating prevention: Multifaceted effects of traditional and social media use during the 2015 MERS crisis in South Korea. Journalism & Mass Communication Quarterly, 1-20.
[42]
Setbon M., Raude J., Fischler C., & Flahault A. (2005). Risk perception of the mad cow disease in France: Determinants and consequences. Risk Analysis, 25(4), 813-826.
[43]
Slovic P., Finucane M. L., Peters E., & Macgregor D. G. (2007). The affect heuristic. European Journal of Operational Research, 177(3), 1333-1352.
[44]
Slovic P. (1987). Perception of risk. Science, 236(4799), 280-285.
Studies of risk perception examine the judgements people make when they are asked to characterize and evaluate hazardous activities and technologies. This research aims to aid risk analysis and policy-making by providing a basis for understanding and anticipating public responses to hazards and improving the communication of risk information among lay people, technical experts, and decision-makers. This work assumes that those who promote and regulate health and safety need to understand how people think about and respond to risk. Without such understanding, well-intended policies may be ineffective.
[45]
Snyder L. B., & Rouse R. A. (1995). The media can have more than an impersonal impact: The case of AIDS risk perceptions and behavior. Health Communication, 7(2), 125-145.
[46]
Song J., Song T. M., Seo D. C., Jin D. L., & Kim J. S. (2017). Social big data analysis of information spread and perceived infection risk during the 2015 Middle Ease respiratory syndrome outbreak in South Korea. Cyberpsychology, Behavior, & Social Networking, 20(1), 22-29.
[47]
Walther J. B., & Valkenburg P. M. (2017). Merging Mass and Interpersonal Communication via Interactive Communication Technology: A Symposium. Human Communication Research, 43(4), 415-423.
[48]
Witte K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communications Monographs, 59(4), 329-349.
[49]
Xu J. (2020). Does the medium matter? A meta-analysis on using social media vs. traditional media in crisis communication. Public Relations Review, 46(4), 1-7.
[50]
Yoo W. (2019). How risk communication via Facebook and Twitter shapes behavioral intentions: The case of fine dust pollution in South Korea. Journal of Health Communication, 24(7-8), 663-673.
Despite the importance of social network sites (SNSs) in addressing emerging public health risks, there is still a relative lack of studies examining the effects of risk communication via SNSs on risk perceptions and preventive behaviors. Based on message expression‒ and reception‒effects paradigms, this study aims to explore how expressing and receiving risk information shape preventive behavioral intentions via risk perceptions. Given the differential nature and functionality of SNSs, the present investigation also examines whether expressing and receiving risk information via two different types of SNSs-Facebook and Twitter-have different effects on risk perceptions and behavioral intentions. Analyzing survey data from 1,152 South Korean adults in the context of fine dust hazards, this study found that expressing and receiving risk information not only affected risk perceptions but also directly or indirectly influenced preventive behavioral intentions. In addition, the effects of expressing and receiving risk information were differentiated between SNS platforms, specifically Facebook and Twitter.
[51]
Yoo W., Choi D. H., & Park K. (2016). The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea. Computers in Human Behavior, 62, 34-43.
Individuals use social network sites (SNSs) as an effective tool for communicating relevant information with others during the outbreak of infectious diseases. However, little is known about the underlying mechanism through which communicative behaviors influence preventive behaviors. Thus, in the context of Middle East respiratory syndrome (MERS) in South Korea, this study investigated how two communicative behaviors (message expression and reception) in SNSs affected the communicators' intentions to engage in MERS-preventive behaviors. Using data collected from a nationally representative panel survey of 1000 Korean adults aged 19 or older, we examined a theoretical expression and reception effects model. Results support the presence of effects from expressing and receiving MERS-related information via SNSs and their underlying mechanism during South Korea's MERS outbreak. Public health officials and communication professionals should actively use SNS communication in coping with public health crisis caused by emerging infectious diseases. (c) 2016 Elsevier Ltd.
[52]
Yoo W., Paek, H-J., & Hove T. (2020). Differential effects of content-oriented versus user-oriented social media on risk perceptions and behavioral intentions. Health Communication, 35(1), 99-109.
Social media have become increasingly important in risk and crisis situations. However, little is known about which types of social media have greater influence on risk perceptions and behaviors. This study pursues two goals related to this question. The first is to explicate the cognitive mechanism underlying the process through which exposure to risk information on social media shapes people's behavioral intentions. The second is to determine whether exposures to risk information on two different types of social media-content-oriented social media focusing on shared interests versus user-oriented social media focusing on social relationships-have different effects on people's risk perceptions and behavioral intentions. Analyzing survey data from 688 adults from the general population of South Korea in the context of carcinogenic hazards, we found that self-reported content-oriented social media exposure (to risk information) was significantly related to both personal-level and societal-level risk perceptions. In addition, content-oriented social media exposure was associated with behavioral intentions indirectly through risk perceptions. However, user-oriented social media exposure had no impact on risk perceptions and behavioral intentions, either directly or indirectly through risk perceptions.
[53]
You M., Joo J., Park E., Noh G.-Y., & Ju Y. (2017). Emerging infectious disease content in newspaper editorials: Public health concern or leadership issue? Science Communication, 39(3), 313-337.
We conducted a content analysis of newspaper editorials on the Middle East respiratory syndrome outbreak in Korea. Subject matter, social and personal efficacy information, and affective tone were evaluated using a mixed-methods approach. An analysis of 241 publications with the acronym “MERS” revealed that public health was the most salient, followed by leadership/governance, coping, medical system, and economic consequences. Societal efficacy information was more frequent than personal efficacy information, and a negative tone was predominant. However, leadership became the most frequent in the later stages. Personal efficacy information decreased over time and across content with a negative tone.
[54]
Zhang L., Kong Y., & Chang H. (2015). Media use and health behavior in H1N1 flu crisis: The mediating role of perceived knowledge and fear. Atlantic Journal of Communication, 23(2), 67-80.

Footnotes

1. 风险感知与风险认知都由risk perception翻译而来。在文中,我们使用“风险认知”一词,代表该研究中学者仅关注了认知维度,以区别于本文中“风险感知”的双重内涵。

2. 我们特别注明了是疫情高峰期的媒介使用,因为新冠疫情周期长,在前测时不少受访者表示疫情前期和后期的媒介使用行为差异很大,使用诸如过去三个月这一类的词测量让受访者表示很困扰,也无法真实反映媒介使用对于人们的影响。而人们的兴趣有一个递减的过程,对于同一事件,新鲜期的信息接触相较于后期的信息接触让人印象更为深刻,人们在前期的信息接触中形成对该事件的态度、看法及判断,在一定的时期内,这些都是较为稳定的(除非有重大改变)。因而,考虑到时间维度的问题以及人们在一定时期内情感、认知以及行为的相对稳定性,我们在测量时注明了是疫情严峻期的使用情况。

3. 控制变量对预防行为的影响系数:疫情期在武汉的大学生比在其他地区的大学生更多的采取预防行为(B=0.141**,SE=0.041),男性比女性的预防行为少(B=-0.112*,SE=0.049),对当地管控的严格程度评价越高的大学生,越多地采取预防措施(B=0.318***,SE=0.055)。

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