The Korean Society for Journalism & Communication (KSJCS)
[ Article ]
Korean Journal of Journalism & Communication Studies - Vol. 68, No. 5, pp.196-232
ISSN: 2586-7369 (Online)
Print publication date 31 Oct 2024
Received 05 Apr 2024 Revised 01 Oct 2024 Accepted 04 Oct 2024
DOI: https://doi.org/10.20879/kjjcs.2024.68.5.006

미디어를 통한 환경정보 이용이 친환경 행동에 미치는 영향의 기제 : 정보처리 과정에서 정보 불충분성과 정보 수집능력의 역할

이창은*** ; 마혜현 ; 백혜진****
한양대학교 광고홍보학과 박사수료
***한양대학교 광고홍보학과 박사수료 yeski71@hanyang.ac.kr
****한양대학교 에리카캠퍼스 광고홍보학과 교수 hjpaek@hanyang.ac.kr
How the Use of Environmental Information through Media Leads to Pro-environmental Behavior : Roles of Information Insufficiency and Information Gathering Capacity in Information Processing
Chang Eun Lee*** ; Hye Hyun Ma ; Hye-Jin Paek****
Ph.D. Candidate, Department of Advertising & Public Relations, Hanyang University
***Ph.D. Candidate, Department of Advertising & Public Relations, Hanyang University, first author yeski71@hanyang.ac.kr
****Professor, Department of Advertising & Public Relations, Hanyang University-ERICA Campus, corresponding author hjpaek@hanyang.ac.kr

초록

본 연구는 휴리스틱-체계적 정보처리 모형과 위험정보탐색처리와 관련된 이론적 모형을 바탕으로 미디어를 통해 전달되는 환경정보가 사람들의 친환경 행동에 영향을 미치는 과정에서 어떻게 정보처리를 하며, 정보 불충분성과 정보 수집능력의 역할은 무엇인지를 검증하였다. 󰡔2023 국민환경의식조사󰡕의 2차 데이터를 활용하여 전국 성인 남녀를 대상으로 실시한 총 3,054명의 응답 데이터를 기반으로 경로 모형을 분석하였다. 분석 결과는 다음과 같다. 첫째, 미디어를 통한 환경정보 이용은 직접적으로 친환경 행동에 정적인 영향을 미치는 한편, 환경정보 불충분성에는 부적인 영향을 미쳤다. 둘째, 정보 불충분성은 정보의 체계적 처리에만 부적인 영향을 미쳤다. 셋째, 체계적 정보처리는 친환경 행동에 정적인 영향을, 휴리스틱 처리는 친환경 행동에 부적인 영향을 미치는 것으로 나타났다. 넷째, 개인의 정보 수집능력은 체계적 및 휴리스틱 정보처리 모두에 긍정적인 영향을 미쳤다. 다섯째, 미디어 이용은 정보 불충분성과 체계적 및 휴리스틱 정보처리 과정을 각각 매개하여 친환경 행동에 긍정적인 영향을 미치지만, 연속매개효과는 유의하지 않았다. 마지막으로, 정보 수집능력의 조절 및 매개된 조절효과는 통계적으로 유의미하지 않았다. 이상의 결과를 바탕으로 미디어를 통한 환경정보 이용이 개인의 친환경 행동에 영향을 미치는 과정에서 정보 불충분성, 정보 처리 과정, 정보 수집능력의 역할을 살펴봄으로써 향후 환경 캠페인 및 정책 수립에 기여하고자 하였다.

Abstract

Environmental pollution is a serious social risk issue. A variety of environmental information is provided through various media, but it sometimes does not receive enough attention from the public and often fails to lead people to engage in pro-environmental behavior. Therefore, understanding the conditions and processes through which media use of environmental information affects pro-environmental behavior is an important task for both communication researchers and practitioners. Guided by the heuristic-systematic information processing model and the risk information seeking model, this study examined how environmental information delivered through the media affects people’s pro-environmental behaviors, as well as the roles played in this process of information insufficiency and information gathering capacity. Secondary survey data (“2023 National Environmental Awareness Survey”) collected nationwide among 3,054 Korean adults were analyzed, and a path model was fitted. The path model tested direct, mediated, and moderated mediation effects among media use, information insufficiency, information gathering capacity, heuristic-systematic information processing, and pro-environmental behavior. The results are as follows; First, environment-specific media use had direct positive effects, while information insufficiency had negative effects, on pro-environmental behaviors. Second, information insufficiency had negative effects only on systematic processing. Third, systematic processing had positive effects, while heuristic processing had negative effects, on pro-environmental behaviors. Fourth, an individual's information gathering capacity had positive effects on both systematic and heuristic information processing. Fifth, media use had positive effects on pro-environmental behaviors mediated by information insufficiency and systematic and heuristic information processing, respectively, but the serial mediation effect was not significant. Finally, the moderating and moderated mediating effects of information gathering capacity were not statistically significant. This study provides practical implications for future environmental campaigns and policymaking through its examination of the roles of information insufficiency, information processing, and information gathering capacity in the process of environment-specific media effects on pro-environmental behaviors. In particular, our results emphasize that it is important for environment-related organizations and governments to provide environmental information through various media channels, but it is even more critical to understand how sufficiently people perceive environmental information, how capable they are of collecting, discriminating, and interpreting such information, and under what circumstances they are processed systematically. In addition, people's ability to efficiently collect and process accurate information from various sources on various risk issues may affect eco-friendly behavior by processing environmental information more efficiently and sometimes systematically. Therefore, environmental communication practitioners should develop various strategies to prormote pro-environmental behavior while enhancing the public‘s ability to pay attention to environmental issues and to identify and collect high-quality information in a complex media environment.

Keywords:

Environment-Specific Media Use, Information Insufficiency, Systematic-Heuristic Information Processing, Information Gathering Capacity, Pro-Environment Behaviors

키워드:

환경 관련 미디어 이용, 정보 불충분성, 휴리스틱-체계적 정보처리, 정보 수집능력, 친환경 행동

Acknowledgments

This work was supported by the research fund of Hanyang University(이 논문은 2023년 한양대학교 교내연구비 지원을 받았습니다)[HY-2023-3458].

The authors would like to thank the three reviewers for their constructive comments during the revision process of the paper(논문을 수정하는 과정에서 세심한 지적과 조언을 해주신 세 분의 심사위원분들께 감사드립니다).

References

  • Ahn, J., & Kim, Y. J. (2022). Koreans’ climate change beliefs, risk perception, and climate action: Focusing on the effects of the communication channel type. Journal of Social Science, 48(2), 85-116.
    안정선·김여정 (2022). 한국인의 기후변화 신념, 위험인식, 대응행동: 커뮤니케이션 채널 유형의 영향을 중심으로. <사회과학연구>, 48권 2호, 85-116.
  • Ahn, S. E., Yum, J. Y., & Lee, H. (2021). The comprehensive study on environmental values for integrated environmental and economic analysis: 2021 National Environmental Awareness Survey (KEI-2021-05-03). Retrieved 1/5/24 from https://www.kei.re.kr/elibList.es?mid=a10101060000&elibName=researchreport&c_id=740943&act=view
    안소은·염정윤·이홍림 (2021). 환경·경제 통합분석을 위한 환경가치 종합연구: 2021 국민환경의식조사(한국환경연구원 사업보고서, KEI-2021- 05-03).
  • Ai, P., Li, W., & Yang, W. (2021). Adolescents’ social media use and their voluntary garbage sorting intention: A sequential mediation model. International Journal of Environmental Research and Public Health, 18(15), 8119. [https://doi.org/10.3390/ijerph18158119]
  • Bolsen, T., & Shapiro, M. A. (2018). The US news media, polarization on climate change, and pathways to effective communication. Environmental Communication, 12(2), 149-163. [https://doi.org/10.1080/17524032.2017.1397039]
  • Cha, Y., & Cho, J. (2019). A social-cognitive model of applying RISP and HBM model for Korean Internet users’ behavioral intentions regarding fine-dust risk protection: The role of information exposure, subjective norms, negative emotions, and risk perception. Korean Journal of Journalism & Communication Studies, 63(6), 96-142. [ https://doi.org/10.20879/kjjcs.2019.63.6.003 ]
    차유리·조재희 (2019). 국내 인터넷 이용자의 미세먼지 위험예방행위 의도에 관한 사회인지 접근의 RISP, HBM 적용모형: 정보 노출, 주관적 규범, 부정적 감정, 위험 지각의 역할. <한국언론학보>, 63권 6호, 96-142.
  • Chaiken, S. (1987). The heuristic model of persuasion. In M. P. Zanna, J. M. Olson, & C. P. Herman (Eds.), Social influence: The Ontario symposium (Vol. 5, pp. 3-39). Hillsdale, NJ: Erlbaum.
  • Chaiken, S., & Ledgerwood, A. (2012). A theory of heuristic and systematic information processing. In P. A. M. Van Lange, E. T. Higgins, & A. W. Kruglanski (Eds.), Handbook of theories of social psychology 1, 246-266. [https://doi.org/10.4135/9781446249215.n13]
  • Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 212-252). New York: Guilford Press.
  • Chen, S., Duckworth, K., & Chaiken, S. (1999). Motivated heuristic and systematic processing. Psychological Inquiry, 10(1), 44-49. [https://doi.org/10.1207/s15327965pli1001_6]
  • Cho, S. Y., & Jung, J. (2022). The effects of environmental concern, altruistic·selfish motivation and environmental education experience on environment-friendly consumption behavior. Korean Journal of Environmental Education, 35(2), 111-124.
    조소연·정주원 (2022). 환경관심도, 이타적·이기적 동기, 환경교육경험이 친환경 소비행동에 미치는 영향. <환경교육>, 35권 2호, 111-124.
  • Dagiliūtė, R. (2023). Environmental information: Different sources different levels of pro-environmental behaviours?. Sustainability, 15(20), 14773. [https://doi.org/10.3390/su152014773]
  • Dong, X., & Yang, J. Z. (2023a). PFAS contamination: Pathway from communication to behavioral outcomes. Journal of Health Communication, 28(4), 205-217. [https://doi.org/10.1080/10810730.2023.2193144]
  • Dong, X., & Yang, J. Z. (2023b). Insufficiency and capacity: Seeking and processing of risk information about PFAS. Journal of Risk Research, 26(12), 1408-1421. [https://doi.org/10.1080/13669877.2023.2288014]
  • Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt, Brace, & Jovanovich.
  • Fuller, R., Landrigan, P. J., Balakrishnan, K., Bathan, G., Bose-O'Reilly, S., Brauer, M., ... & Yan, C. (2022). Pollution and health: A progress update. The Lancet Planetary Health, 6(6), e535-e547. [https://doi.org/10.1016/S2542-5196(22)00090-0]
  • Greenpeace (2023, March 23). ‘Disposable plastic waste’ surged to its largest scale ever during the COVID-19 pandemic. Greenpeace. Retrieved 2/12/24 from https://www.greenpeace.org/korea/press/25876
    그린피스 (2023, 3, 23). 코로나 기간 ‘일회용 플라스틱 폐기물’, 역대 최대 규모로 증가. <그린피스>.
  • 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, S230-S245. [https://doi.org/10.1006/enrs.1998.3940]
  • Griffin, R. J., Dunwoody, S., & Yang, Z. J. (2013). Linking risk messages to information seeking and processing. Annals of the International Communication Association, 36(1), 323-362. [https://doi.org/10.1080/23808985.2013.11679138]
  • Griffin, R. J., Neuwirth, K., Giese, J., & Dunwoody, S. (2002). Linking the heuristic-systematic model and depth of processing. Communication Research, 29(6), 705-732. [https://doi.org/10.1177/009365002237833]
  • Griffin, R. J., Powell, M., Dunwoody, S., Neuwirth, K., Clark, D., & Novotny, V. (2004). Testing the robustness of a risk information processing model. Paper presented at the annual meeting of the Association for Education in Journalism and Mass Communication, Toronto, Ontario, Canada.
  • Griffin, R. J., Yang, Z., ter Huurne, E., Boerner, F., Ortz, S., & Dunwoody, S. (2008). After the flood: Anger, attribution, and the seeking of information. Science Communication, 29(3), 285-315. [https://doi.org/10.1177/1075547007312309]
  • Han, J., & Kim, Y. (2023). The effects of the direction and intensity of comments for COVID-19-related fake news acceptance: Focusing on the mediating effect of systematic information processing and the moderating effect of the conformity level. Korean Journal of Journalism & Communication Studies, 67(1), 230-271. [ https://doi.org/10.20879/kjjcs.2023.67.1.006 ]
    한지원·김영욱 (2023). 댓글의 방향과 강도가 코로나 19 관련 가짜뉴스 수용에 미치는 영향: 체계적 정보처리의 매개효과 및 동조 성향의 조절효과 중심 분석. <한국언론학보>, 67권 1호, 230-271.
  • Ho, S. S., Detenber, B. H., Rosenthal, S., & Lee, E. W. J. (2014). Seeking information about climate change: Effects of media use in an extended PRISM. Science Communication, 36(3), 270-295. [https://doi.org/10.1177/1075547013520238]
  • Hong, E., & Lee, S. (2021). An analysis of the determinants of risk responses to fine particles. ECO, 25(2), 47-93.
    홍은영·이선이 (2021). 위험 대응행동 집단 결정요인 분석: 미세먼지 위험에 대한 개인적 대응행동 및 사회적 대응행동 의도를 중심으로. <환경사회학연구 ECO>, 25권 2호, 47-93.
  • Huang, H. (2016). Media use, environmental beliefs, self-efficacy, and pro-environmental behavior. Journal of Business Research, 69(6), 2206-2212. [https://doi.org/10.1016/j.jbusres.2015.12.031]
  • Huh, S., & Kim, Y. (2015). A comparative study on the application of RISP in the context of risk types: Focusing on typhoon and hydrofluoric acid spill risks. Korean Journal of Communication & Information, 70, 246-276.
    허서현·김영욱 (2015). 위험 유형에 따른 위험 정보 탐색과 처리 과정 연구: 불산 유출과 태풍 관련 위험 상황 비교 중심. <한국언론정보학보>, 통권 70호, 246-276.
  • Hwang, Y., & Jeong, S. H. (2020). A channel-specific analysis of the risk information seeking and processing (RISP) model: The role of relevant channel beliefs and perceived information gathering capacity. Science Communication, 42(3), 279-312. [https://doi.org/10.1177/1075547020926612]
  • Hwang, Y., & Jeong, S. H. (2023). Misinformation exposure and acceptance: The role of information seeking and processing. Health Communication, 38(3), 585-593. [https://doi.org/10.1080/10410236.2021.1964187]
  • Jang, H., Chae, Y., Choi, U., & Cho, J. (2024). The impact of seeking and processing environmental information related to microplastics on pro-environmental behavior intentions: Focusing on the risk information seeking and processing model (RISP). Korean Journal of Broadcasting and Telecommunication Studies, 38(4), 240-280. [ https://doi.org/10.22876/kab.2024.38.4.007 ]
    장혜연·채윤정·최의락·조재희 (2024). 미세 플라스틱 관련 환경정보 탐색과 처리가 친환경행동의도에 미치는 영향 : 위험정보 탐색처리모형(RISP)을 중심으로. <한국방송학보>, 38권 4호, 240-280.
  • Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2022). semTools: Useful tools for structural equation modeling. R package version 0.5-6. Retrieved 2/1/24 from https://CRAN.R-project.org/package=semTools
  • Junsheng, H., Akhtar, R., Masud, M. M., Rana, M. S., & Banna, H. (2019). The role of mass media in communicating climate science: An empirical evidence. Journal of Cleaner Production, 238, 117934. [https://doi.org/10.1016/j.jclepro.2019.117934]
  • Kahlor, L., Dunwoody, S., Griffin, R. J., Neuwirth, K., & Giese, J. (2003). Studying heuristic‐systematic processing of risk communication. Risk Analysis: An International Journal, 23(2), 355-368. [https://doi.org/10.1111/1539-6924.00314]
  • Karimi, S., Liobikienė, G., Saadi, H., & Sepahvand, F. (2021). The influence of media usage on iranian students’ pro-environmental behaviors: An application of the extended theory of planned behavior. Sustainability, 13(15), 8299. [https://doi.org/10.3390/su13158299]
  • Kim, H., Oh, H. J., Hong, D. Y., Shim, J. C., & Chang, J. (2018). The effects of media use on risk perceptions and preventive behavioral intentions of an emerging infectious disease: Focused on the mediated effects of information processing. Advertising Research, 119, 123-152. [ https://doi.org/10.16914/ar.2018.119.123 ]
    김활빈·오현정·홍다예·심재철·장정헌 (2018). 미디어 이용이 신종 감염병에 대한 위험 인식과 예방행동 의도에 미치는 영향: 정보처리 전략의 매개 효과를 중심으로. <광고연구>, 119호, 123-152.
  • Kim, H. J. (2019). Roles of risk perception, fear, and anger in information behaviors about nuclear energy. Korean Journal of Journalism & Communication Studies, 63(2), 7-45. [ https://doi.org/10.20879/kjjcs.2019.63.2.001 ]
    김효정 (2019). 위험인식, 두려움, 분노가 원자력정보 탐색과 처리, 공유 의도에 미치는 영향. <한국언론학보>, 63권 2호, 7-45.
  • Kim, J., & Paek, H.-J. (2009). Information processing of genetically modified food messages under different motives: An adaptation of the multiple-motive heuristic-systematic model. Risk Analysis, 29(12), 1793-1806. [https://doi.org/10.1111/j.1539-6924.2009.01324.x]
  • Kim, J. B. (2000). Perception of environmental issues and the role of media coverage. Korean Journal of Communication & Information, 15, 7-47.
    김재범 (2000). 환경문제의 인식과 언론보도의 역할. <한국언론정보학보>, 통권 15호, 7-47.
  • Kim, Y., & Han, J. (2022). A study of influencing variables on knowledge about particulate matter: Focusing on the comparison between Seoul and the Chungnam region. Advertising Research, 134, 38-87. [ https://doi.org/10.16914/ar.2022.134.38 ]
    김영욱·한지원 (2022). 미세먼지 관련 지식에 영향을 미치는 변수 연구: 서울 지역과 충남 지역의 비교분석. <광고연구>, 134호, 38-87.
  • Kim, Y., Kim, Y., & Kim, S. (2018). Risk seeking and processing on climate change: Moderating effects of perceived information gathering capacity, channel beliefs, and behavioral beliefs. Korean Journal of Journalism & Communication Studies, 62(5), 72-106. [ https://doi.org/10.20879/kjjcs.2018.62.5.003 ]
    김영욱·김영지·김수현 (2018). 기후변화에 대한 위험 정보 추구 및 처리 연구: 정보원 신뢰도, 행동에 대한 태도, 인지된 정보 수집 능력의 조절효과 중심. <한국언론학보>, 62권 5호, 72-106.
  • Kim, Y., Lee, H., Lee, H., & Kim, H. (2017). A study on the environmental risk information seeking and processing model about particulate matter: Focusing on the moderating effects of China attribution, health symptom experience, perceived information capacity, and relevant channel beliefs. Korean Journal of Communication Studies, 25(2), 5-44. [ https://doi.org/10.23875/kca.25.2.1 ]
    김영욱·이현승·이혜진·김혜인 (2017). 미세먼지 위험에 대한 공중들의 정보탐색과 처리에 대한 연구: 인지된 정보 수집 능력, 언론 정보원 신뢰, 책임 귀인과 경험 정도의 조절 효과 분석. <커뮤니케이션학 연구>, 25권 2호, 5-44.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed). New York: Guilford Press.
  • 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.
    구윤희·안지수·노기영 (2020). 미세먼지 위험인식이 위험정보처리와 예방행동에 미치는 영향: 확장된 위험정보 탐색처리 모형의 적용. <한국방송학보>, 34권 1호, 5-28.
  • Ku, Y., Kim, H., Kim, W., & Noh, G.-Y. (2023). Is processing COVID-19 information effective for wearing masks? The effect of information processing on preventive intention. International Journal of Communication, 17, 4829-4849.
  • Ku, Y., Kim, H., & Noh, G.-Y. (2020). A study of how information processing influences preventive behavioral intention: Focusing on systematic and heuristic processing of particulate matter information. Journal of Public Relations, 24(2), 28-51.
    구윤희·김활빈·노기영 (2020). 위험 정보처리가 예방 행동 의도에 미치는 영향 연구: 미세먼지 정보의 체계적 처리와 휴리스틱 처리를 중심으로. <PR연구(구 홍보학연구)>, 24권 2호, 28-51.
  • 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), 84-108.
    이혜규·백혜진 (2019). 정보 불충분성, 정보 수집 능력, 시간적 거리가 지진에 관한 정보 추구 및 회피에 미치는 영향. <PR연구(구 홍보학연구)>, 23권 3호, 84-108.
  • Lee, Y. J. (2013). A study of effect of health belief on health information processing and health behavior intention. Unpublished Doctoral dissertation, Hanyang University, Seoul, Korea.
    이윤재 (2013). <건강신념이 건강정보처리과정과 건강행동의도에 미치는 영향에 관한 연구>. 한양대학교 대학원 박사학위 논문.
  • Lüdecke, D., Ben-Shachar, M. S., Patil, I., Waggoner, P., & Makowski, D. (2021). Performance: An R package for assessment, comparison and testing of statistical models. Journal of Open Source Software, 6(60), 3139. [https://doi.org/10.21105/joss.03139]
  • Ministry of Environment (2024, January). Public conservation survey on environmental conservation: Summary report. Retrieved 7/23/24 from https://www.index.go.kr/unity/potal/main/EachDtlPageDetail.do?idx_cd=1456
    환경부 (2024, 1). 환경보전에 관한 국민의식조사(환경부 요약보고서).
  • Paek, H.-J., & Hove, T. (2024). Mechanisms of climate change media effects: Roles of risk perception, negative emotion, and efficacy beliefs. Health Communication, 1-10. Advance online publication. [https://doi.org/10.1080/10410236.2024.2324230]
  • Park, I., & Kim, S. (2020). Response to risky society and searching for new governance: The role of risk communication factors in determining responding action for particulate matter. Korean Journal of Policy Analysis and Evaluation, 30(1), 107-138.
    박이레·김서용 (2020). 위험사회 대응과 신거버넌스 탐색: 미세먼지 대응행동 결정에서 위험소통 요인의 역할분석. <정책분석평가학회보>, 30권 1호, 107-138.
  • Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.). Advances in experimental social psychology (Vol. 19, pp. 123-205). New York: Academic Press. [https://doi.org/10.1016/S0065-2601(08)60214-2]
  • R Core Team (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved 1/12/24 from https://www.R-project.org/, .
  • Revelle, W. (2023). psych: Procedures for psychological, psychometric, and personality research. Northwestern University, Evanston, Illinois. R package version 2.3.12. Retrieved 1/12/24 from https://CRAN.R-project.org/pacakge=psych, .
  • Rönkkö, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6-14. [https://doi.org/10.1177/1094428120968614]
  • Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36. [https://doi.org/10.18637/jss.v048.i02]
  • 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.
    서미혜 (2016). 메르스 관련 위험정보 탐색과 처리가 메르스 예방행동에 미치는 영향: 위험정보 탐색처리 모형의 확장과 SNS 이용 정도에 따른 조절효과를 중심으로. <한국언론정보학보>, 78호, 116-140.
  • Shah, D. V., Cho, J., Eveland, W. P., Jr., & Kwak, N. (2005). Information and expression in a digital age: Modeling Internet effects on civic participation. Communication Research, 32(5), 531-565. [https://doi.org/10.1177/0093650205279209]
  • Sotirovic, M. (2001). Affective and cognitive processes as mediators of media influences on crime-policy preferences. Mass Communication & Society, 4(3), 311-329. [https://doi.org/10.1207/S15327825MCS0403_04]
  • Trumbo, C. W. (1999). Heuristic-systematic information processing and risk judgment. Risk Analysis, 19(3), 391-400. [https://doi.org/10.1111/j.1539-6924.1999.tb00415.x]
  • Trumbo, C. W. (2002). Information processing and risk perception: An adaptation of the heuristic-systematic model. Journal of Communication, 52(2), 367-382. [https://doi.org/10.1111/j.1460-2466.2002.tb02550.x]
  • Yang, J. Z., Dong, X., & Liu, Z. (2022). Systematic processing of COVID-19 information: Relevant channel beliefs and perceived information gathering capacity as moderators. Science Communication, 44(1), 60-85. [https://doi.org/10.1177/10755470211044781]
  • Yang, J. Z., & Huang, J. (2019). Seeking for your own sake: Chinese citizens’ motivations for information seeking about air pollution. Environmental Communication, 13(5), 603-616. [https://doi.org/10.1080/17524032.2017.1397041]
  • Yang, Z. J., Aloe, A. M., & Feeley, T. H. (2014). Risk information seeking and processing model: A meta-analysis. Journal of Communication, 64(1), 20-41. [https://doi.org/10.1111/jcom.12071]
  • Yang, Z. J., Kahlor, L., & Li, H. (2014). A United States-China comparison of risk information–seeking intentions. Communication Research, 41(7), 935-960. [https://doi.org/10.1177/0093650213479795]
  • Yang, Z. J., Rickard, L. N., Harrison, T. M., & Seo, M. (2014). Applying the risk information seeking and processing model to examine support for climate change mitigation policy. Science Communication, 36(3), 296-324. [https://doi.org/10.1177/1075547014525350]
  • Yang, Z. J., Seo, M., Rickard, L. N., & Harrison, T. M. (2015). Information sufficiency and attribution of responsibility: Predicting support for climate change policy and pro-environmental behavior. Journal of Risk Research, 18(6), 727-746. [https://doi.org/10.1080/13669877.2014.910692]
  • Yoo, W., & Chung, Y. (2016). The roles of interpersonal communication between exposure to mass media and MERS-preventive behavioral intentions: The moderating and mediating effects of face-to-face and online communication. Korean Journal of Broadcasting and Telecommunication Studies, 30(4), 121-151.
    유우현·정용국 (2016). 매스미디어 노출과 메르스 예방행동 의도의 관계에서 대인커뮤니케이션의 역할: 면대면 및 온라인 커뮤니케이션의 매개 및 조절효과. <한국방송학보>, 30권 4호, 121-151.
  • Yoo, W., & Oh. S.-H. (2023). The effects of social determinants of health on COVID-19-preventive behavioral intention: Mediating roles of information processing and information seeking. Advertising Research, 137, 47-74. [ https://doi.org/10.16914/ar.2023.137.47 ]
    유우현·오상화 (2023). 건강의 사회적 결정요인이 코로나19 예방행동 의도에 미치는 영향: 정보처리와 정보 탐색의 매개 역할. <광고연구>, 137호, 47-74.
  • Yum, J. Y., & Kang S. A. (2023). 2023 National environmental awareness survey (KEI-2023-16-02). Retrieved 5/17/24 from https://www.kei.re.kr/elibList.es?mid=a10101000000&elibName=researchreport&c_id=760172&act=view
    염정윤·강선아 (2023). 2023 국민환경의식조사(한국환경연구원 사업보고서, KEI-2023-16-02).
  • Zhang, N., & Skoric, M. M. (2018). Media use and environmental engagement: Examining differential gains from news media and social media. International Journal of Communication, 12, 380-403.
  • Zhou, N., Ho, G., & Cho, J. (2022). Structural relationship between environmental interpersonal communication, media exposure to environmental information and eco-friendly behavior intentions: Environmental involvement as a mediator. Korean Journal of Communication & Information, 113, 177-206. [ https://doi.org/10.46407/kjci.2022.06.113.177 ]
    주남·호규현·조재희 (2022). 환경 관련 대인 커뮤니케이션, 미디어 채널별 정보 노출이 친환경행동의도에 미치는 영향: 환경관여도의 매개 역할을 중심으로. <한국언론정보학보>, 통권 113호, 177-206.
  • Zhu, W., Wei, J., & Zhao, D. (2016). Anti-nuclear behavioral intentions: The role of perceived knowledge, information processing, and risk perception. Energy Policy, 88, 168-177. [https://doi.org/10.1016/j.enpol.2015.10.009]
  • Zhu, W., Wu, T., & Liao, C. (2023). Impact of information processing on individuals’ intentions toward reducing PM2.5: Evidence from Hefei City, China. Journal of Environmental Planning and Management, 66(8), 1622-1639. [https://doi.org/10.1080/09640568.2022.2036601]