Current issue

The Korean Society for Journalism & Communication Studies - Vol. 65 , No. 1

[ Article ]
Korean Journal of Journalism & Communication StudiesVol. 65, No. 1, pp.236-269
Abbreviation: KSJCS
ISSN: 2586-7369 (Online)
Print publication date 28 Feb 2021
Received 06 Aug 2020 Revised 29 Jan 2021 Accepted 05 Feb 2021

미디어 이용자의 정보 검색과 공유 행동에 관한 연구 : 성격 특성과 디지털 리터러시의 역할
이하나** ; 황유리*** ; 정세훈****
**서울대학교 언론정보학과 박사후연구원 (
***명지대학교 디지털미디어학과 교수 (
****고려대학교 미디어학부 교수 (

Information seeking and sharing while using media : The role of personality traits and digital literacy
Hana Lee** ; Yoori Hwang*** ; Se-Hoon Jeong****
**Postdoctoral Researcher, Department of Communication, Seoul National University (
***Professor, Department of Digital Media, Myongji University (
****Professor, School of Media and Communication, Korea University, Corresponding author (
Funding Information ▼


이 연구의 목적은 성격 특성과 디지털 리터러시와 같은 이용자 특성이 미디어 이용자들의 정보 검색 및 공유 행동을 어떻게 예측할 수 있는지 검증하는 데 있다. 이를 위해 20세 이상 60세 이하 성인 698명을 대상으로 설문 조사를 실시하였다. 분석 결과, 외향성은 정보 검색 및 공유 행동 모두에 정적인 영향을 미치는 반면, 신경증은 정보 검색에 한하여 정적인 영향을 미치는 것으로 나타났다. 한편 디지털 리터러시는 정보 검색 및 공유에 흥미로운 역할을 하는 것으로 나타났다. 소비 리터러시는 정보 검색의 긍정적인 예측 요인인 반면, 생비 리터러시는 정보 공유의 긍정적인 예측 요인으로 나타났다. 이러한 결과를 바탕으로 정보 검색과 공유에 관한 이론과 연구에 대한 함의에 대해 논의하였다.


Information seeking and sharing are important media behaviors, particularly when using online and social media. This study examined information seeking and information sharing behaviors among media users, and how those behaviors could be predicted by user characteristics(e.g., big five personality, need for cognition, and sensation seeking) and digital literacy(e.g., prosumption literacy and consumption literacy). We conducted an online survey of 698 adults 20 to 60 years of age. With regard to user characteristics, the results showed that extraversion was a positive predictor for both information seeking and sharing, while neuroticism was a positive predictor for information seeking only. The results suggest that extraverts tend to seek and share more information. Digital literacy played an interesting role in information seeking and sharing. Consumption literacy was a positive predictor of information seeking, whereas prosumption literacy was a positive predictor of information sharing. The findings of this present research suggest that the ability to use new media (i.e., consumption literacy) is important for information seeking behavior, whereas the ability to create content (i.e., prosumption literacy) is important for information sharing behavior. The role of digital literacy in information seeking and sharing has important theoretical as well as practical implications. Although it is theoretically and academically meaningful to predict and explain the role of demographic and psychological factors in information seeking and sharing, it is difficult to change or control those demographic and psychological factors. In other words, even if we know that extraversion is a positive predictor of information seeking/sharing, it is difficult to change one’s personality to an extravert in order to increase information seeking/sharing. On the other hand, the role of digital literacy is practically meaningful such that we could increase media users’ information seeking and sharing behaviors by enhancing their digital literacy. Specifically, consumption literacy could increase information seeking, whereas prosumption literacy could increase information sharing, which suggest the importance of digital literacy education. These results have important theoretical implications because information seeking could be linked to research on the digital divide and knowledge gap; and information sharing could contribute to research on information diffusion and opinion leadership in the two-step flow theory. From a practical perspective, understanding the type of individuals who tend to seek and share information could help media practitioners to develop effective communication strategies. For example, based on users’ personality traits and digital literacy skills, news organizations or advertisers could design messages that are tailored to users who tend to seek and share more information.

Keywords: Information Seeking, Information Sharing, Personality Trait, Digital Literacy
키워드: 정보 검색, 정보 공유, 성격 특성, 디지털 리터러시


This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2019S1A5A2A01045465). (이 논문은 2019년 대한민국 교육부와 한국연구재단의 인문사회분야 중견연구자지원사업의 지원을 받아 수행된 연구임(NRF-2019S1A5A2A01045465).)

1. Amichai-Hamburger, Y., & Vinitzky, G. (2010). Social network use and personality. Computers in Human Behavior, 26(6), 1289-1295.
2. Anastasiei, B., & Dospinescu, N. (2018). A model of the relationships between the Big five personality traits and the motivations to deliver word-of-mouth online. Psihologija, 51(2), 215-227. doi: 10.2298/PSI161114006A
3. Aufderheide, P. (1993). Media literacy: A report of the national leadership conference on media literacy. Aspen, CO: Aspen Institute.
4. Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research. Journal of Consumer Psychology, 24(4), 586-607. doi: 10.1016/j.jcps.2014.05.002
5. Berger, J., & Iyengar, R. (2013). Communication channels and word of mouth: How the medium shapes the message. Journal of Consumer Research, 40(3), 567-579.
6. Berger, J., & Milkman, K. L. (2012). What makes online content viral?. Journal of Marketing Research, 49(2), 192-205.
7. Bogg, T., & Vo, P. T. (2014). Openness, neuroticism, conscientiousness, and family health and aging concerns interact in the prediction of health-related Internet searches in a representative US sample. Frontiers in psychology, 5, 1-10. doi:10.3389/fpsyg.2014.00370
8. Bonfedelli, H. (2002). The Internet and knowledge gaps: A theoretical and empirical investigation. European Journal of Communication, 17(1), 65-84.
9. Cacioppo, J. T., Petty, R. E., & Kao, C. F. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48(3), 306-307.doi: 10.1207/s15327752jpa4803_13
10. Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54, 461-470. doi:10.1016/j.dss.2012.06.008
11. Crook, B., Stephens, K. K., Pastorek, A. E., Mackert, M., & Donovan, E. E. (2016). Sharing health information and influencing behavioral Intentions: The role of health literacy, information overload, and the internet in the diffusion of healthy heart information. Health Communication, 31, 60-71. doi: 10.1080/10410236.2014.936336
12. Das, S., Echambadi, R., McCardle, M., & Luckett, M. (2003). The effect of interpersonal trust, need for cognition, and social loneliness on shopping, information seeking and surfing on the Web. Marketing Letters, 14(3), 185-202. doi: 10.1023/A:1027448801656
13. Fleming-May, R. A., & Miller, L. E. (2010). “I'm scared to look. But I'm dying to know”: Information seeking and sharing on Pro-Ana weblogs. Proceedings of the American Society for Information Science and Technology, 47(1), 1-9.
14. Friedman, H. S., & Schustack, M. W. (2009). Personality Classic Theories and Modern Research. 4th.
15. Goldberg, L. R. (1993). The structure of phenotypic personality traits. American Psychologist, 48(1), 26-34.
16. Griffin, R. J., Yang, Z. J., ter Huurne, E., Boerner, F., Ortiz, S., & Dunwoody, S. (2008). After the flood: Anger, attribution, and the seeking of information. Science Communication, 29, 285-315.
17. Griffin, R. J., Neuwirth, K., Dunwoody, S., & Giese, J. (2004). Information sufficiency and risk communication. Media Psychology, 6, 23-61.
18. Griffin, R. J., Dunwoody, S. & Neuwirth, K. (1999). Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environmental Research, 80(2), S230-S245.
19. Guo, L., Zhang, M., & Wang, Y. (2016). Effects of customers’ psychological characteristics on their engagement behavior in company social networks. Social Behavior and Personality, 44(10), 1661-1670. doi: 10.2224/sbp.2016.44.10.1661
20. Hallyburton, A., & Evarts, L. A. (2014). Gender and online health information seeking: A five survey meta-analysis. Journal of Consumer Health On the Internet, 18(2), 128-142. doi:10.1080/15398285.2014.902268
21. Hansen, S. S., Lee, J. K., & Lee, S. -Y. (2014) Consumer-generated ads on YouTube: Impacts of source credibility and need for cognition on attitudes, interactive behaviors, and eWom. Journal of Electronic Commerce Research, 15(3), 254-266.
22. Hargittai, E. (2002). Second-level digital divide: Differences in people's online skills. First Monday, 7(4).
23. Hargittai, E., & Walejko, G. (2008). THE PARTICIPATION DIVIDE: Content creation and sharing in the digital age. Information, Community and Society, 11(2), 239-256. doi: 10.1080/13691180801946150
24. Haridakis, P., & Hanson, G. (2009). Social interaction and co-viewing with YouTube: Blending mass communication reception and social connection. Journal of Broadcasting & Electronic Media, 53(2), 317-335. doi: 10.1080/08838150902908270
25. Heinstrom, J. (2005). Fast surfing, broad scanning and deep diving: The influence of personality and study approach on students’ information-seeking behavior. Journal of Documentation, 61(2), 228-247. doi: 10.1108/00220410510585205
26. Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32(3), 401-414.
27. Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior, 28(2), 561-569. doi: 10.1016/j.chb.2011.11.001
28. Hwang, Y. & Shim, H-J. (2010). Opinion Leadership on Twitter and Twitter Use - Motivations and Patterns of Twitter Use and Case Study of Opinion Leaders on Twitter. Korean Journal of Broadcasting and Telecommunication Studies, 24(6), 365-404.
29. Hwang, Y. & Jeong, S-H. (2018). Information seeking and sharing while media multitasking. Journal of Media Economics & Culture, 16(3), 78-109.
30. Jeong, S. E. & Park, N. (2016). An analysis of the factors influencing the lurking behavior and use intensity in social networking services: Focusing on personality and psychological characteristics of facebook users. Korean Journal of Journalism & Communication Studies, 60(6), 251-290.
31. Jeong, S.-H., Cho, H., & Hwang, Y. (2012). Media literacy interventions: A meta-analytic review. Journal of Communication, 62, 454-472. doi: 10.1111/j.1460-2466.2012.01643.x
32. Jin, B. & Yang, J. (2015). Exploring the types of SNS use based on personality traits, offline activities, political orientations, and life satisfaction. Korean Journal of Journalism & Communication Studies, 59(5). 239-271.
33. John, O. P., Naumann, L. P., & Soto, C. J. (2008). Paradigm shift to the integrative big five trait taxonomy. Handbook of personality: Theory and research, 3, 114-158.
34. Johnson, J. D. (1997). Cancer-related information seeking. Cresskill, NJ: Hampton Press.
35. Kahlor, L., & Rosenthal, S. (2009). If we seek, do we learn? Predicting knowledge of global warming. Science Communication, 30(3), 380-414.
36. Katz, E., & Lazarsfeld, P. (1955). Personal influence: The part played by people in the flow of mass communications. Glencoe, IL: The Free Press.
37. Kautish, P. (2010). Empirical study on influence of extraversion on consumer passion and brand evangelism with word-of-mouth communication. Review of Economic & Business Studies, 3(2), 187-197.
38. Kim, E. & Yu, H. S. (2020). A study on the predictive factors influencing the exposure and acceptance of fake news. Broadcasting & Communication, 21(1), 93-126.
39. Kim, H., & Xie, B. (2017). Health literacy in the eHealth era: A systematic review of the literature. Patient Education and Counseling, 100, 1073-1082. doi: 10.1016/j.pec.2017.01.015
40. Kim, H. S. (2015). Attracting views and going viral: How message features and news-sharing channels affect health news diffusion. Journal of Communication, 65(3), 512-534.
41. Kim, H. J. (2019). Roles of risk perception, fear, and anger in information behaviors about nuclear energy : Based on risk information seeking and processing (RISP) model. Korean Journal of Journalism & Communication Studies, 63(2), 7-45.
42. Kim, H-J., Chong, E., Kim, E-M., Yang, S., Lee, J. W., & Kang, M. (2020). Fake news and fact check news differences : Focusing on news usage, perception, and literacy in multi-media environments. Korean Journal of Communication & Information, 101, 231-267.
43. Kim, J-N., & Grunig, J. E.(2011). Problem solving and communicative action: A situational theory of problem solving. Journal of Communication, 61(1), 120-149.
44. Kim, M-N., Yoo, Y-S., Hwang, K. H., & Cho, O-H. (2019). The effects of office workers’ attitudes to internet health information, e-health literacy on health information seeking behavior and health-related behavioral intention. Journal of Digital Convergence, 17(11), 357-367.
45. Kim, S., Park, D. J., & Choi, J. (2019). The relationship between sub-dimensions of health literacy and health-related behaviors among korean adults. Health and Social Welfare Review, 39(1), 334-364.
46. King, R. A., Racherla, P., & Bush, V. D. (2014). What we know and don’t know about online word-of-mouth: A Review and synthesis of the literature. Journal of Interactive Marketing, 28, 167-183. doi: 10.1016/j.intmar.2014.02.001
47. Kitchens, J. T., Powell, L., & Williams, G. (2003). Information, please? Information seeking, mass media, and the undecided voter. Communication Research Reports, 20(1), 73-80.
48. Koc, M., & Barut, E. (2016). Development and validation of New Media Literacy Scale (NMLS) for university students. Computers in Human Behavior, 63, 834-843. doi:10.1016/j.chb.2016.06.035
49. Korea Press Foundation. (2019). Media users in korea 2019. Retrieved 2/7/21 from
50. Krikelas, J. (1983). Information seeking behavior: Patterns and concepts. Drexel Library Quarterly, 19(2), 5-20.
51. Kuhlthau, C. C. (1991). Inside the search process: Information seeking from the users’ prospective. Journal of the American society for Information Science, 42(5), 361-371. doi: 10.1002/(SICI)1097-4571(199106)42:5<361::AID-ASI6>3.0.CO;2-%23
52. Ku, Y., Ahn, J., & Noh, G-Y. (2020). Relationships between particulate matter risk perception, information seeking and preventive behaviors: An application of extended risk information seeking and processing model. Korean Journal of Broadcasting and Telecommunication Studies, 34(1), 5-28.
53. Kwon, G. & Cho, S. (2017). Effects of rumor recipient’s information processing disposition, prior attitude, and prior knowledge on rumor wordᐨofᐨmouth intentions. Journal of Public Relations, 27(1), 1-25.
54. Kwon, Y., Na, E-Y., & Lee, S. Y. (2018). Influencing factors and outcomes of health information seeking behavior according to platform: Focusing on socioeconomic factors, digital media literacy, social support, and life satisfaction. Health Communication Research., 17(1), 1-46.
55. Lang, F. R., John, D., Lüdtke, O., Schupp, J., & Wagner, G. G. (2011) Short assessment of the Big Five: Robust across survey methods except telephone interviewing. Behavior Research Methods, 43(2), 548-567. doi: 10.3758/s13428-011-0066-z
56. Ledford, C. J. W., Cafferty, L. A., & Russell, T. C. (2015). The influence of health literacy and patient activation on patient information seeking and sharing. Journal of Health Communication, 20, 77-82. doi: 10.1080/10810730.2015.1066466
57. Lee, B-K., Moon, Y., Yun, T., Lee, J. K., Jeong, J. N., Noh, H-H., & Rim, H. B. (2020). An exploratory study on instagram usage behavior: Based on structural relationships between user motivation and big 5 personality Traits. Journal of the HCI Society of Korea, 15(3). 13-22.
58. Lee, H. & Paek, H-J. (2019). Effects of information insufficiency, perceived information gathering capacity, and temporal distance on people’s information seeking and avoidance about earthquake. Journal of Public Relations, 23(3), 84-109.
59. Lin, J. S., Lee, Y. I., Jin, Y., & Gilbreath, B. (2017). Personality traits, motivations, and emotional consequences of social media usage. CyberPsychology, Behavior, and Social Networking, 20(10), 615-624. doi: 10.1089/cyber.2017.0043
60. Livingstone, S., & Helsper, E. (2010). Balancing opportunities and risks in teenagers’ use of the internet: The role of online skills and internet self-efficacy. New Media & Society, 12(2), 309-329.
61. Lu, H. P., & Lee, M. R. (2012). Experience differences and continuance intention of blog sharing. Behaviour & Information Technology, 31(11), 1081-1095.
62. Lu, H. Y., Palmgreen, P. C., Zimmerman, R. S., Lane, D. R., & Alexander, L. J. (2006). Personality traits as predictors of Intentions to seek online information about STDs and HIV/AIDS among junior and senior college students in Taiwan. CyberPsychology & Behavior, 9(5), 577-583.
63. Lynn, T., Muzellec, L., Caemmerer, B., & Turley, D. (2017). Social network sites: early adopters’ personality and influence. Journal of Product & Brand Management, 26(1), 42-51. doi: 10.1108/JPBM-10-2015-1025
64. Lyons, B., & Henderson, K. (2005). Opinion leadership in a computer-mediated environment. Journal of Consumer Behaviour, 4(5), 319-329. doi: 10.1002/cb.22
65. McMullan, R. D., Berle, D., Arnaez, S., & Starcevic, V. (2019). The relationships between health anxiety, online health information seeking, and cyberchondria: Systematic review and meta-analysis. Journal of Affective Disorders, 245, 270-278. doi: 10.1016/j.jad.2018.11.037
66. Mokhtari, H., Davarpanah, M. R., Dayyani, M. H., & Ahanchian, M. -R. (2013). Students’ need for cognition affects their information seeking behavior. New Library World, 114(11/12), 542-549. doi: 10.1108/NLW-07-2013-0060
67. Murgatroyd, P., & Calvert, P. (2013). Information-seeking and information-sharing behavior in the climate change community of practice in the pacific. Science & Technology Libraries, 32(4), 379-401.
68. Park, E., & Kwon. M. (2018). Health-related internet use by children and adolescents: Systemic review. Journal of Medical Internet Research, 20(4), e120. doi:10.2196/jmir.7731
69. Park, H-K., Kim, S., & Yang, J. (2016). The effects of exposure to MERS information and issue involvement on perceived information influence, disease prevention and information sharing. Journal of Media Economics & Culture, 14(3), 7-49.
70. Picazo-Vela, S., Chou, S. Y., Melcher, A. J., & Pearson, J. M. (2010). Why provide an online review? An extended theory of planned behavior and the role of Big-Five personality traits. Computers in Human Behavior, 26(4), 685-696. doi: 10.1016/j.chb.2010.01.005
71. Qahri-Saremi, H., & Montazemi, A. R. (2019). Factors affecting the adoption of an electronic word of mouth message: A meta-analysis. Journal of Management Information Systems, 36(3), 969-1001. doi:10.1080/07421222.2019.1628936
72. Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York, NY: The Free Press.
73. Rollero, C., Daniele, A., & Tartaglia S. (2019). Do men post and women view? The role of gender, personality and emotions in online social activity. Cyberpsychology: Journal of Psychological Research on Cyberspace, 13(1), article 1. doi: 10.5817/CP2019-1-1
74. Rosario, A. B., Sotgiu, F., Valck, K. D., & Bijmolt, T. H. A. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors. Journal of Marketing Research, 53, 297-318. doi:10.1509/jmr.14.0380
75. Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and motivations associated with Facebook use. Computers in human behavior, 25(2), 578-586.
76. Ryan, T., & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior, 27(5), 1658-1664.
77. Savolainen, R. (2019). Modeling the interplay of information seeking and information sharing. Management, 71(4), 518-534.
78. Seo, M. (2016). Effects of risk information seeking and processing on MERS preventive behaviors and moderating roles of SNS use during 2015 MERS outbreak in korea. Korean Journal of Communication & Information, 78, 116-140.
79. Shim, M. (2008). Connecting Internet use with gaps in cancer knowledge. Health Communication, 23(5), 448-461.
80. Shim, M., Kelly, B., & Hornik, R. (2006). Cancer information scanning and seeking behavior is associated with knowledge, lifestyle choices, and screening. Journal of Health Communication, 11(S1), 157-172.
81. Shim, M., Jo, H. S., & Jung, S. M. (2018). The associations of online health information search and e-health literacy with perceived information usefulness: Analysis in the context of diet and weight control. Health Policy and Management, 28(2), 119-127.
82. Stephenson, M. T., & Southwell, B. G. (2006). Sensation seeking, the activation model, and mass media health campaigns: Current findings and future directions for cancer communication. Journal of Communication, 56, S38-S56.
83. Sun, Q.-R. & Cho, M-H. (2018). The impact on risk information search processing and information diffusion behavior of the chinese in relation to the THAAD placement in korea. Korean Business Education Review, 33, 329-351.
84. Tichenor, P. J., Donohue, G. A., Olien, C. N. (1970). Mass media flow and differential growth in knowledge. Public Opinion Quarterly, 34, 159-170.
85. Talja, S. (1997). Constituting “Information” and “User” as research objects: A theory of knowledge formations as an alternative to the information man-theory. In P. Vakkari, R. Savolainen, & B. Dervin (Eds.), Information Seeking in Context: Proceedings of an International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 67-80. London: Taylor Graham.
86. Tsao, W. C., & Chang, H. R. (2010). Exploring the impact of personality traits on online shopping behavior. African Journal of Business Management, 4(9), 1800-1812.
87. van Dijk, J. A. G. M. (2006). Digital divide research, achievements and shortcomings. Poetics, 34, 221-235.
88. Wang, X., Shi, J., & Kong, H. (2020). Online Health Information Seeking: A Review and Meta-Analysis. Health Communication, 1-13.
89. Wei, K. K., Teo, H. H., Chan, H. C., & Tan, B. C. (2011). Conceptualizing and testing a social cognitive model of the digital divide. Information Systems Research, 22(1), 170-187.
90. Wilson, B. (1996). Constructivist learning environments: Case studies in instructional design. Englewood Cliffs, NJ: Educational Technology Pub.
91. Wilson, T. D. (2000). Human information behavior. Informing Science, 3(2), 49-56.
92. Yang, Z. J., Aloe, A. M., & Feeley, T. H. (2014). Risk information seeking and processing model: A meta-analysis. Journal of Communication, 64, 20-41. doi: 10.1111/jcom.12071
93. You, Y., Vadakkepatt, G. G., & Joshi, A. M. (2015). A meta-analysis of electronic word-of-mouth elasticity. Journal of Marketing, 79, 19-39. doi:10.1509/jm.14.0169
94. Yum, J-Y. & Jeong, S-H. (2019). Predictors of fake news exposure and sharing : Personality, new media literacy, and motives. Korean Journal of Journalism & Communication Studies, 63(1), 7-45.
95. Zhao, Y., & Zhang, J. (2017). Consumer health information seeking in social media: a literature review. Health Information and Libraries Journal, 34, 268-283. doi: 10.1111/hir.12192
96. Zhitomirsky-Geffet, M., & Blau, M. (2017). Cross-generational analysis of information seeking behavior of smartphone users. Aslib Journal of Information Management, 69(6), 721-739. doi: 10.1108/AJIM.04.2017.0083
97. Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge, UK: Cambridge University Press.

1. 구윤희 ·안지수 ·노기영 (2020). 미세먼지 위험인식이 위험정보 처리와 예방행동에 미치는 영향: 확장된 위험정보 탐색처리 모형의 적용. <한국방송학보>, 34권 1호, 5-28.
2. 권구민·조수연(2017). 수요자의 정보처리 유형, 루머 대상에 대한 사전태도·사전지식이 루머 확산에 미치는 영향. <홍보학연구>, 21권 1호, 1-25.
3. 권예지·나은영·이상엽 (2018). 플랫폼에 따른 건강정보추구 행동의 영향요인과 결과: 사회경제적 요인, 디지털 미디어 리터러시, 사회적 지지, 생활만족을 중심으로. <헬스커뮤니케이션연구>, 17권 1호, 1-46.
4. 김미나·유양숙·황경혜·조옥희 (2019). 직장인의 인터넷 건강정보에 대한 태도, e-헬스리터러시가 건강정보추구행동과 건강관련행위의도에 미치는 영향. <디지털융복합연구>, 17권 11호, 357-367.
5. 김성은·박동진·최정화 (2019). 일반 성인의 건강문해력의 하위 차원과 건강 관련 행위간의 관계. <보건사회연구>, 39권 1호, 334-364.
6. 김은정·유홍식 (2020). 이념 성향·강도, 적대적 매체 지각과 미디어 리터러시가 가짜뉴스 노출과 수용 태도에 미치는 영향. <방송과 커뮤니케이션>, 21권 1호, 93-126.
7. 김형지·정은령·김은미·양소은·이재우·강민지 (2020). 가짜뉴스와 팩트체크 뉴스 노출 집단의 미디어 이용과 뉴스 인식, 그리고 리터러시 관계. <한국언론정보학보>, 101, 231-267.
8. 김효정 (2019). 위험인식, 두려움, 분노가 원자력정보 탐색과 처리, 공유 의도에 미치는 영향. <한국언론학보>, 63권 2호, 7-45.
9. 박현갑·김선호·양정애 (2016). 메르스(중동호흡기증후군) 정보 노출과 이슈 관여도가 정보의 영향력 지각, 예방 행동, 정보 공유에 미치는 영향. <미디어 경제와 문화>, 14권 3호, 7-48.
10. 서미혜 (2016). 메르스 관련 위험정보 탐색과 처리가 메르스 예방행동에 미치는 영향. <한국언론정보학보>, 78권, 116-140.
11. 순치엔롱·조미혜 (2018). 한국의 사드 배치와 관련한 중국인들의 위험 정보 탐색 처리 및 정보 확산 행동에 미치는 영향. <경영교육연구>, 33권 2호, 329-351.
12. 심민선·조희숙·정수미 (2018). 인터넷 건강정보이해능력과 정보탐색 유형별 인지된 정보유용성 분석: 다이어트 및 체중조절 관련 정보탐색을 중심으로. <보건행정학회지>, 28권 2호, 119-127.
13. 염정윤·정세훈 (2019). 가짜뉴스 노출과 전파에 영향을 미치는 요인. <한국언론학보>, 63권 1호, 7-45.
14. 이병관·문영숙·윤태웅·이진균·정지나·노환호·임혜빈 (2020). 인스타그램 이용 행태에 관한 탐색적 연구 : 인스타그램 이용동기와 성격 5요인(Big 5)의 구조적 관계를 중심으로. <한국HCI학회 논문지>, 15권 3호, 13-22.
15. 이혜규·백혜진. (2019). 정보 불충분성, 정보 수집 능력, 시간적 거리가 지진에 관한 정보 추구 및 회피에 미치는 영향. <홍보학 연구>, 23권 3호, 84-108.
16. 정성은·박남기 (2016). SNS에서의 잠복관찰 행위와 이용 강도에 미치는 영향요인 분석. <한국언론학보>, 60권 6호, 251-280.
17. 진보래·양정애 (2015). 성격특성, 오프라인 활동, 정치성향, 삶의 만족도에 따른 SNS 이용. <한국언론학보>, 59권 5호, 239-271.
18. 한국언론진흥재단 (2019). 2019 언론 수용자 조사. Retrieved 2/7/21 from
19. 황유선 ·심홍진 (2010). 트위터에서의 의견 지도력과 트위터 이용패턴: 이용동기, 트윗 이용패턴, 그리고 유형별 사례분석. <한국방송학보> 24권 6호, 365-404.