Social Media Exposure, Personal Risk Perception, and Protection Behavior toward Phone Scams

Thitiphat Limsumlitnipa

Abstract

The objective of this study was to compare personal risk perception and protection behavior between generations and determine the relationship between social media exposure, personal risk perception, and protection behavior toward scam phone calls and texts. This study used a survey research method. The sample was random from 625 Thai people. Data were collected using an online questionnaire. Independent ANOVA procedures and the Pearson correlation were used to analyze the study data. The survey revealed that most respondents reported being most exposed to Facebook, while they had a high level of exposure to information about phone scams. The overall perception of personal risk and self-protective behavior were rated at the highest levels. Furthermore, an analysis of personal risk perception and sociodemographic factors indicated that age was significantly related to personal risk perception. In addition, respondents’ protective behavior showed significant associations with gender, education, and occupation at a significance level of 0.05. Moreover, the study found a significant positive correlation between social media exposure, personal risk perception, and protective behavior. Among the Thai people, regardless of generation, there was no difference in personal risk perception and self-protection behavior. This is because people of all age groups have a high level of exposure to news about phone scams. As a result, people of all ages are aware of the dangers this time as well and take care of themselves to be safe from their own property and life, which is the instinct of every human being. A relationship was observed between social media exposure, personal risk perception, and protective behavior.

 

Keywords: social media exposure, risk perception, protection behavior.

 

DOI: https://doi.org/10.55463/hkjss.issn.1021-3619.62.44


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ALI, K., ZAIN-UL-ABDIN, K., LI, C., JOHNS, L., ALI, A.A., & CARCIOPPOLO, N. (2019a). Viruses Going Viral: Impact of Fear-Arousing Sensationalist Social Media Messages on User Engagement. Science Communication, 41(3), 314-338. https://doi.org/10.1177/1075547019846124

ALI, M.A., AZAD, M.A., CENTENO, M.P., HAO, F., & VAN MOORSEL, A. (2019b). Consumer-facing technology fraud: Economics, attack methods and potential solutions. Future Generation Computer Systems, 100, 408-427. https://doi.org/10.1016/j.future.2019.03.041

ALRASHEED, M., ALRASHEED, S., & ALQAHTANI, A.S. (2022). Impact of Social Media Exposure on Risk Perceptions, Mental Health Outcomes, and Preventive Behaviors during the COVID-19 Pandemic in Saudi Arabia. Saudi Journal of Health Systems Research, 2(3), 107-113. https://doi.org/10.1159/000525209

BANDURA, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215. https://doi.org/10.1037//0033-295x.84.2.191

BANK OF THAILAND. (2021). The fraud call center gang. Retrieved from https://www.bot.or.th/th/satang-story/fraud/call-center.html

BOSSLER, A.M., HOLT, T.J., CROSS, C., & BURRUSS, G.W. (2020). Policing fraud in England and Wales: Examining constables’ and sergeants’ online fraud preparedness. Security Journal, 33, 311-328. https://doi.org/10.1057/s41284-019-00187-5

BRAKE, R.D. (2014). Sharing our lives online: Risk and exposure in social media. London: Palgrave Macmillan. https://doi.org/10.1057/9781137312716

DIGITAL ECONOMY PROMOTION AGENCY. (2022). Privacy vs Security: Case Study: Fraud Problem. Retrieved from https://www.depa.or.th/th/article-view/privacy-vs-security

EGHTESADI, M., & FLOREA, A. (2020). Facebook, Instagram, Reddit and TikTok: a proposal for health authorities to integrate popular social media platforms in contingency planning amid a global pandemic outbreak. Canadian Journal of Public Health, 111, 389-391. https://doi.org/10.17269/s41997-020-00343-0

ISRA NEWS AGENCY. (2022). Raise the problem of call center gangs on the national agenda. Ground communications - merge mobile camps. Retrieved from https://www.isranews.org/article/isranews-short-news/110035-isranews-753.html

KANGWANSOPHON, J. (2022). Offenses of Fraud: Study of Telephone Scam Cases (Call Center Gangs). Journal of BSRU-Research and Development Institute, 7(1), 280-290.

KASPERSON, R.E., RENN, O., SLOVIC, P., BROWN, H.S., EMEL, J., GOBLE, R., KASPERSON, J.X., & RATICK, S. (1988). The Social Amplification of Risk: A Conceptual Framework. Risk Analysis, 8(2), 177-187.

KHOIRUNISA, N., & RAHAYU, E.Y. (2020). Ego Defense Mechanism of the Main Female Characters in Maleficent Movie. Dinamika Bahasa dan Budaya, 15(2), 54-61. https://doi.org/10.35315/bb.v15i2.8221

LIU, M., ZHANG, H., & HUANG, H. (2020). Media exposure to COVID-19 information, risk perception, social and geographical proximity, and self-rated anxiety in China. BMC Public Health, 20(1), 1649. https://doi.org/10.1186/s12889-020-09761-8

MIHALITS, D.S., & CODENOTTI, M. (2020). The conceptual tragedy in studying defense mechanisms. Integrative Psychological and Behavioral Science, 54(2), 354-369. https://doi.org/10.1007/s12124-020-09515-6

MINISTRY OF DIGITAL ECONOMY AND SOCIETY. (2022). DES-Police Warns about a New Joke of Call Center Gangs Using "Remote Phone Control Apps". Retrieved from https://mdes.go.th/news/detail/5492

NATIONAL STATISTICAL OFFICE. (2022). Demography Population and Housing Branch. Retrieved from http://statbbi.nso.go.th/staticreport/page/sector/th/01.aspx

NG, Y.J., YANG, Z.J., & VISHWANATH, A. (2018). To fear or not to fear? Applying the social amplification of risk framework on two environmental health risks in Singapore. Journal of Risk Research, 21(12), 1487–1501. https://doi.org/10.1080/13669877.2017.1313762

NYBLOM, P., WANGEN, G., & GKIOULOS, V. (2020). Risk Perceptions on Social Media Use in Norway. Future Internet, 12(12), 211. https://doi.org/10.3390/fi12120211

PIDGEON, N. (2012). Climate Change Risk Perception and Communication: Addressing a Critical Moment? Risk Analysis, 32(6), 951–956. https://doi.org/10.1111/j.1539-6924.2012.01856.x

ROGER, E. (1995). Diffusion of innovations. New York: The Free Press.

SLATER, M.D. (2004). Operationalizing and Analyzing Exposure: The Foundation of Media Effects Research. Journalism & Mass Communication Quarterly, 81(1), 168–183. https://doi.org/10.1177/107769900408100112

SUKTO, A. (2021). Threats to crime, call center gangs. Retrieved from https://library.parliament.go.th/th/radioscript/rr2565-jul7

TSRI. (2021). Call center crime. Retrieved from https://researchcafe.tsri.or.th/call-center-crime/

VAN SCHAIK, P., JESKE, D., ONIBOKUN, J., COVENTRY, L., JANSEN, J., & KUSEV, P. (2017). Risk perceptions of cyber-security and precautionary behavior. Computers in Human Behavior, 75, 547-559. https://doi.org/10.1016/j.chb.2017.05.038

WANG, Q., MIAO, F., TAYI, G.K., & XIE, E. (2019). What makes online content viral? The contingent effects of hub users versus non–hub users on social media platforms. Journal of the Academy of Marketing Science, 47, 1005-1026. https://doi.org/10.1007/s11747-019-00678-2

WELBERS, K., & OPGENHAFFEN, M. (2019). Presenting news on social media: Media logic in the communication style of newspapers on Facebook. Digital Journalism, 7(1), 45-62. http://dx.doi.org/10.1080/21670811.2018.1493939

YAMANE, T. (1973). Statistics: an introductory analysis. 3rd ed. New York: Harper and Row.


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