The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea
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[1] S. Shyam Sundar,et al. Theorizing Interactivity's Effects , 2004, Inf. Soc..
[2] R. Hornik,et al. Can We Measure Encoded Exposure? Validation Evidence From a National Campaign , 2002, Journal of health communication.
[3] Blackford Middleton,et al. Communicating Health Information to an Alarmed Public Facing a Threat Such as a Bioterrorist Attack , 2004, Journal of health communication.
[4] Yan Jin,et al. Examining the Role of Social Media in Effective Crisis Management , 2014, Commun. Res..
[5] M. Fishbein,et al. The Role of Theory in Developing Effective Health Communications , 2006 .
[6] L. Gideon. Handbook of Survey Methodology for the Social Sciences , 2012 .
[7] Tara L Crowell,et al. Examining condom use self‐efficacy and coping in sexual situations , 2000 .
[8] Marjorie M. Buckner,et al. Social Media Messages in an Emerging Health Crisis: Tweeting Bird Flu , 2016, Journal of health communication.
[9] J. Pennebaker. Confession, Inhibition, and Disease , 1989 .
[10] T. Robinson,et al. Effects of the SMART Classroom Curriculum to Reduce Child and Family Screen Time , 2006 .
[11] Lex van Velsen,et al. Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak , 2012, Journal of medical Internet research.
[12] Ming Wang,et al. Attitudes, practices and information needs regarding novel influenza A (H7N9) among employees of food production and operation in Guangzhou, Southern China: a cross-sectional study , 2014, BMC Infectious Diseases.
[13] M. Defleur,et al. A Dependency Model of Mass-Media Effects , 1976 .
[14] Jeff Niederdeppe,et al. Validating Measures of Scanned Information Exposure in the Context of Cancer Prevention and Screening Behaviors , 2009, Journal of health communication.
[15] K Witte,et al. Fear, threat, and perceptions of efficacy from frightening skin cancer messages. , 1998, Public health reviews.
[16] Wanda Siu,et al. Extended Parallel Process Model and H5N1 Influenza Virus , 2008, Psychological reports.
[17] Louis Leung,et al. User-generated content on the internet: an examination of gratifications, civic engagement and psychological empowerment , 2009, New Media Soc..
[18] Cliff Lampe,et al. It's Complicated: Facebook Users' Political Participation in the 2008 Election , 2011, Cyberpsychology Behav. Soc. Netw..
[19] Dhavan V. Shah,et al. The effects of expression: how providing emotional support online improves cancer patients' coping strategies. , 2013, Journal of the National Cancer Institute. Monographs.
[20] Dhavan V. Shah,et al. Campaign Ads, Online Messaging, and Participation: Extending the Communication Mediation Model , 2007, Journal of Communication.
[21] Elmie Nekmat,et al. Message Expression Effects in Online Social Communication , 2012, Journal of Broadcasting & Electronic Media.
[22] J. P. Eveland. The Effect of Political Discussion in Producing Informed Citizens: The Roles of Information, Motivation, and Elaboration , 2004 .
[23] Ilwoo Ju,et al. Prescription drug advertising, disease knowledge, and older adults’ optimistic bias about the future risk of alzheimer’s disease , 2016, Health communication.
[24] E. Katz,et al. The Uses of Mass Communications: Current Perspectives on Gratifications Research. Sage Annual Reviews of Communication Research Volume III. , 1975 .
[25] R. W. Rogers,et al. A Protection Motivation Theory of Fear Appeals and Attitude Change1. , 1975, The Journal of psychology.
[26] Steven Prentice-Dunn,et al. Protection Motivation Theory and Skin Cancer Risk: The Role of Individual Differences in Responses to Persuasive Appeals , 2005 .
[27] Ying Kong,et al. Media Use and Health Behavior in H1N1 Flu Crisis: The Mediating Role of Perceived Knowledge and Fear , 2015 .
[28] Sora Kim,et al. How organizations framed the 2009 H1N1 pandemic via social and traditional media: Implications for U , 2011 .
[29] T. Chock,et al. Effects of Hiv/aids Public Service Announcements on Attitude and Behavior: Interplay of Perceived Threat and Self-Efficacy , 2014 .
[30] Emily M. Douglas,et al. The effects of survey administration on disclosure rates to sensitive items among men: A comparison of an internet panel sample with a RDD telephone sample , 2010, Comput. Hum. Behav..
[31] J. Pennebaker. Writing About Emotional Experiences as a Therapeutic Process , 1997 .
[32] Huiling Ding,et al. Social Media and Participatory Risk Communication during the H1N1 Flu Epidemic: A Comparative Study of the United States and China , 2010 .
[33] Kanayo Umeh,et al. Cognitive appraisals, maladaptive coping, and past behaviour in protection motivation , 2004 .
[34] A. Kaplan,et al. Users of the world, unite! The challenges and opportunities of Social Media , 2010 .
[35] Christine McNab,et al. What social media offers to health professionals and citizens. , 2009, Bulletin of the World Health Organization.
[36] S. Michie,et al. Demographic and attitudinal determinants of protective behaviours during a pandemic: A review , 2010, British journal of health psychology.
[37] Jingyuan Shi,et al. The effects of fear appeal message repetition on perceived threat, perceived efficacy, and behavioral intention in the extended parallel process model , 2016, Health communication.
[38] J. Pennebaker,et al. Confronting a traumatic event: toward an understanding of inhibition and disease. , 1986, Journal of abnormal psychology.
[39] G. Eysenbach. Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness , 2008, Journal of medical Internet research.
[40] Elia Gabarron,et al. Ebola, Twitter, and misinformation: a dangerous combination? , 2014, BMJ : British Medical Journal.
[41] Bret R. Shaw,et al. The Effects of Expressing Religious Support Online for Breast Cancer Patients , 2016, Health communication.
[42] Yan Jin,et al. The Blog-Mediated Crisis Communication Model: Recommendations for Responding to Influential External Blogs , 2010 .
[43] Jeong Yeob Han,et al. Effects of prayer and religious expression within computer support groups on women with breast cancer , 2007, Psycho-oncology.
[44] B. Cowling,et al. Community psychological and behavioral responses through the first wave of the 2009 influenza A(H1N1) pandemic in Hong Kong. , 2010, The Journal of infectious diseases.
[45] R. Dolan,et al. Optimistic update bias increases in older age , 2013, Psychological Medicine.
[46] Raymond J. Pingree. How Messages Affect Their Senders: A More General Model of Message Effects and Implications for Deliberation , 2007 .
[47] N. Weinstein. Unrealistic optimism about susceptibility to health problems: Conclusions from a community-wide sample , 1987, Journal of Behavioral Medicine.
[48] Kasisomayajula Viswanath,et al. What have we learned about communication inequalities during the H1N1 pandemic: a systematic review of the literature , 2014, BMC Public Health.
[49] A. Satorra,et al. Scaled test statistics and robust standard errors for non-normal data in covariance structure analysis: a Monte Carlo study. , 1991, The British journal of mathematical and statistical psychology.
[50] Y. T. Yang,et al. Mining Social Media and Web Searches For Disease Detection , 2013, Journal of public health research.
[51] C. Rudisill. How do we handle new health risks? Risk perception, optimism, and behaviors regarding the H1N1 virus , 2013 .
[52] L. Wong,et al. Public Sources of Information and Information Needs for Pandemic Influenza A(H1N1) , 2010, Journal of Community Health.
[53] Brooke Fisher Liu,et al. Social media use during disasters: a review of the knowledge base and gaps. , 2012 .
[54] B. J. Fogg,et al. Online Persuasion in Facebook and Mixi: A Cross-Cultural Comparison , 2008, PERSUASIVE.
[55] R. Solomon. On Fate and Fatalism , 2003 .
[56] R. Krueger,et al. A cross-cultural study of the structure of comorbidity among common psychopathological syndromes in the general health care setting. , 2003, Journal of abnormal psychology.
[57] A. Satorra,et al. Corrections to test statistics and standard errors in covariance structure analysis. , 1994 .
[58] I. Ajzen,et al. Predicting and Changing Behavior: The Reasoned Action Approach , 2009 .
[59] R. Rimal,et al. Extending the Purview of the Risk Perception Attitude Framework: Findings from HIV/AIDS Prevention Research in Malawi , 2009, Health communication.
[60] Toomas Timpka,et al. Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks , 2014, Journal of medical Internet research.
[61] K. Witte. Fear control and danger control: A test of the extended parallel process model (EPPM) , 1994 .
[62] Dhavan V. Shah,et al. COMMUNICATION THEORY Communication Theory ISSN 1050-3293 ORIGINAL ARTICLE Campaigns, Reflection, and Deliberation: Advancing an O-S-R-O-R Model of Communication Effects , 2022 .
[63] Shahedur Rahman,et al. Examining the Role of Social Media in Disaster Management from an Attribution Theory Perspective , 2016, ISCRAM.
[64] Thomas J. Johnson,et al. Choosing Is Believing? How Web Gratifications and Reliance Affect Internet Credibility Among Politically Interested Users , 2010 .
[65] William P. Eveland. The Cognitive Mediation Model of Learning From the News , 2001, Commun. Res..
[66] A. Bandura. Perceived self-efficacy in the exercise of control over AIDS infection , 1990 .
[67] Carolyn A. Lin,et al. Communicating Food Safety via the Social Media , 2014 .
[68] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[69] Scott L. Althaus,et al. Please Scroll down for Article Political Communication Patterns of Internet and Traditional News Media Use in a Networked Community Patterns of Internet and Traditional News Media Use in a Networked Community , 2022 .
[70] L. Perloff,et al. Self–other judgments and perceived vulnerability to victimization. , 1986 .
[71] Suzanne Pingree,et al. Effects of Insightful Disclosure Within Computer Mediated Support Groups on Women With Breast Cancer , 2006, Health communication.
[72] James W. Pennebaker,et al. Opening up : the healing power of expressing emotions , 1990 .
[73] Gustavo S. Mesch,et al. E-Mail Surveys , 2012 .
[74] Kate Faasse,et al. Public Anxiety and Information Seeking Following the H1N1 Outbreak: Blogs, Newspaper Articles, and Wikipedia Visits , 2012, Health communication.
[75] Edbert B Hsu,et al. Characterizing hospital workers' willingness to report to duty in an influenza pandemic through threat- and efficacy-based assessment , 2010, BMC public health.
[76] Shawn M. Bergman,et al. Twitter versus Facebook: Exploring the role of narcissism in the motives and usage of different social media platforms , 2014, Comput. Hum. Behav..
[77] Jeong Yeob Han,et al. How Does Insightful and Emotional Disclosure Bring Potential Health Benefits?: Study Based on Online Support Groups for Women with Breast Cancer. , 2011, The Journal of communication.
[78] R. Rogers. Cognitive and physiological processes in fear appeals and attitude change: a revised theory of prote , 1983 .
[79] Gerjo Kok,et al. Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys , 2011, BMC public health.
[80] Alberto Maria Segre,et al. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic , 2011, PloS one.
[81] Danah Boyd,et al. Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..
[82] S Michie,et al. The impact of communications about swine flu (influenza A H1N1v) on public responses to the outbreak: results from 36 national telephone surveys in the UK. , 2010, Health technology assessment.
[83] Lucinda L. Austin,et al. How Audiences Seek Out Crisis Information: Exploring the Social-Mediated Crisis Communication Model , 2012 .
[84] E. Kelloway. Using LISREL for Structural Equation Modeling: A Researcher′s Guide , 1998 .
[85] J. Lunt. Ethics and Security Aspects of Infectious Disease Control: Interdisciplinary Perspectives , 2013 .
[86] K. Witte. Putting the fear back into fear appeals: The extended parallel process model , 1992 .
[87] J. Zhang,et al. Self–Other Differences in H1N1 Flu Risk Perception in a Global Context: A Comparative Study Between the United States and China , 2014, Health communication.
[88] Gerjo Kok,et al. Disease Detection or Public Opinion Reflection? Content Analysis of Tweets, Other Social Media, and Online Newspapers During the Measles Outbreak in the Netherlands in 2013 , 2015, Journal of medical Internet research.
[89] Z. J. Yang,et al. Predicting Young Adults’ Intentions to Get the H1N1 Vaccine: An Integrated Model , 2015, Journal of health communication.
[90] Barbara M. Byrne,et al. Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .
[91] S. Chaffee,et al. Measurement and Effects of Attention to Media News , 1986 .
[92] H. Kim,et al. Exploring Optimistic Bias and the Integrative Model of Behavioral Prediction in the Context of a Campus Influenza Outbreak , 2013, Journal of health communication.
[93] Cecilia Cheng,et al. Psychosocial Factors Predicting SARS-Preventive Behaviors in Four Major SARS-Affected Regions , 2006 .
[94] Tao Sun,et al. Media dependencies in a changing media environment: the case of the 2003 SARS epidemic in China , 2007, New Media Soc..
[95] Vera Hoorens,et al. Self‐Favoring Biases, Self‐Presentation, and the Self‐Other Asymmetry in Social Comparison , 1995 .
[96] A. Bandura. Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.
[97] J. Pennebaker,et al. Forming a story: the health benefits of narrative. , 1999, Journal of clinical psychology.
[98] Cheryl Campanella Bracken,et al. Testing the Theoretical Design of a Health Risk Message: Reexamining the Major Tenets of the Extended Parallel Process Model , 2005, Health education & behavior : the official publication of the Society for Public Health Education.
[99] G. Eysenbach,et al. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.
[100] Gary L. Kreps,et al. New directions in eHealth communication: opportunities and challenges. , 2010, Patient education and counseling.