이용자의 정보 환경 맞춤화가 시사 지식과 SNS상의 의견 표현에 미치는 영향 : 정치 성향에 따른 선택적 노출과 우연적 이견 노출의 역할을 중심으로
초록
본 연구는 최근 정보 환경 변화의 특징인 이용자 맞춤화가 시민들의 정치 커뮤니케이션 과정에 미치는 영향이 어떠한지 탐구했다. 2019년 11월 설문 조사(표본 성인 300명)를 통해 분석한 결과, 이용자의 정보 환경 맞춤화는 이용자 자신의 견해와 다른 정보에 대한 우연적 노출보다는 의견을 같이하는 내용에 대한 선택적 노출을 유도하고 정치 사회 이슈에 관한 지식에 대해 부적 효과를 나타냈다. 그러나 정보 환경의 개인화가 정치사회화 변인들과 관련해서 부정적 영향만 있었던 것은 아니고, SNS상의 정치적 표현을 촉진하는 데는 효과적인 긍정적 영향을 보였다. SNS상의 정치적 표현에 대해서는 이용자 맞춤화의 직접적 효과를 발견할 수 있었고 동시에 선택적 노출을 통한 간접 효과 역시 통계적으로 유의미했다. 분석 결과는 정보 환경의 개인화 경향이 선택적 노출만 유도하고 지식을 오히려 저하시키는 역할을 하리라는 것을 암시하기도 하지만, 일단 이용자가 자신이 선호하는 정보를 접하게 되면 표현을 통한 참여 민주주의 과정이 증진될 수 있다는 가능성을 보여주었다.
Abstract
Recent media systems enable users to customize their information environment by selecting channels or content they prefer. With this enhanced selectivity, users tend to increasingly access information about social issues through social networking sites (SNSs) rather than traditional media. Despite the prevalence of information customization among SNS users, the implications of this trend for democratic citizenship remains still contentious. According to the notions of filter bubble and echo chamber, users’ customized information environment may be problematic as it possibly reinforces existing opinions and leads to ideological polarization or segregation. To address this question, the present study empirically examined the effects of information environment customization on the processes of news exposure, knowledge gain, and political expression. Specifically, the present study focused on whether one’s customized information environment is related to different types of information exposure (i.e., selective exposure to pro-attitudinal information vs. incidental exposure to counter-attitudinal information) and how the types of information exposure, in turn, lead to knowledge and opinion expression. Results from a survey with 300 adults demonstrated that customization was positively related to selective exposure to pro-attitudinal information and was negatively related to knowledge about social issues. However, its impact on incidental counter-attitudinal exposure was not statistically significant. It was also found that information environment customization was significantly related to an increase in opinion expression both directly and indirectly through selective exposure. Taken all together, the results of this study suggest that the increase of information environment customization by users has important implications for citizens’ everyday political communication processes and democratic citizenship by encouraging selective exposure and opinion expression while hindering knowledge gain. That is, as the customization of the information environment becomes more popular, users would likely engage in political expressions that are not based on relevant facts and information. In conclusion, the trend of information environment customization may contribute to participatory and expressive political culture primarily via selective exposure. However, at the same time, mere expression of uninformed opinion may add to already contentious and polarizing politics in contemporary democracies. This study is a call for more scholarly discussion and investigation of the changes that the trend of customization of the information environment would bring about.
Keywords:
Selective Exposure, Incidental Exposure, Personalization, Customization, Political Expression키워드:
맞춤설정, 선택적 노출, 우연적 노출, 정치 지식, 정치 표현Acknowledgments
The first draft of this study is based on Yan Liu’s master’s thesis “The Effects of Customized Information Environments on Knowledge and Expression on SNS” (Sungkyunkwan University, 2020). (본 논문의 초고는 2020년 성균관대학교 유연의 석사학위 논문 ‘정보 환경 맞춤화가 정치 지식과 SNS상의 의견 표현에 미치는 영향’에 근거함.)
References
- Bakker, T. P., & De Vreese, C. H. (2011). Good news for the future? Young people, Internet use, and political participation. Communication Research, 38(4), 451-470. [https://doi.org/10.1177/0093650210381738]
- Baum, M. A., & Jamison, A. S. (2006). The Oprah effect: How soft news helps inattentive citizens vote consistently. The Journal of Politics, 68(4), 946-959. [https://doi.org/10.1111/j.1468-2508.2006.00482.x]
- Beam, M. A. (2014). Automating the news: How personalized news recommender system design choices impact news reception. Communication Research, 41(8), 1019-1041. [https://doi.org/10.1177/0093650213497979]
- Beam, M. A., & Kosicki, G. M. (2014). Personalized news portals: Filtering systems and increased news exposure. Journalism & Mass Communication Quarterly, 91(1), 59-77. [https://doi.org/10.1177/1077699013514411]
- Bennett, W. L., & Iyengar, S. (2008). Anew era of minimal effects? The changing foundations of political communication. Journal of Communication, 58(4), 707-731. [https://doi.org/10.1111/j.1460-2466.2008.00410.x]
- Benoit, W. L., Glantz, M. J., Phillips, A. L., Rill, L. A., Davis, C. B., Henson, J. R., & Sudbrock, L. A. (2011). Staying “on message”: Consistency in content of presidential primary campaign messages across media. American Behavioral Scientist, 55(4), 457-468. [https://doi.org/10.1177/0002764211398072]
- Bode, L. (2016). Political news in the news feed: Learning politics from social media. Mass Communication and Society, 19(1), 24-48. [https://doi.org/10.1080/15205436.2015.1045149]
- Carlson, M. (2007). Order versus access: News search engines and the challenge to traditional journalistic roles. Media, Culture & Society, 29(6), 1014-1030. [https://doi.org/10.1177/0163443707084346]
- Cho, J., Shah, D. V., McLeod, J. M., McLeod, D. M., Scholl, R. M., & Gotlieb, M. R. (2009). Campaigns, reflection, and deliberation: Advancing an OSROR model of communication effects. Communication Theory, 19(1), 66-88. [https://doi.org/10.1111/j.1468-2885.2008.01333.x]
- Choi, J. H. (2015). The effects of cross-cutting exposure in online social network sites on political participation: Focusing on the cross-cutting observation, cross-cutting involvement, and strength of partisanship. Korean Journal of Journalism & Communication Studies, 59(5), 152-177.
- Dvir-Gvirsman, S., Tsfati, Y., & Menchen-Trevino, E. (2016). The extent and nature of ideological selective exposure online: Combining survey responses with actual web log data from the 2013 Israeli Elections. New Media & Society, 18(5), 857-877. [https://doi.org/10.1177/1461444814549041]
- Dylko, I. B. (2016). How technology encourages political selective exposure. Communication Theory, 26(4), 389-409. [https://doi.org/10.1111/comt.12089]
- Ekström, M., & Östman, J. (2013). Family talk, peer talk and young people’s civic orientation. European Journal of Communication, 28(3), 294-308. [https://doi.org/10.1177/0267323113475410]
- Eveland, W. P., Jr., & Hively, M. H. (2009). Political discussion frequency, network size, and “heterogeneity” of discussion as predictors of political knowledge and participation. Journal of Communication, 59(2), 205-224. [https://doi.org/10.1111/j.1460-2466.2009.01412.x]
- Fan, H., & Poole, M. S. (2006). What is personalization? Perspectives on the design and implementation of personalization in information systems. Journal of Organizational Computing and Electronic Commerce, 16(3-4), 179-202.
- Flaxman, S., Goel, S., & Rao, J. M. (2016). Filter bubbles, echo chambers, and online news consumption. Public Opinion Quarterly, 80(S1), 298-320. [https://doi.org/10.1093/poq/nfw006]
- Fletcher, R., & Nielsen, R. K. (2017). Are news audiences increasingly fragmented? A cross-national comparative analysis of cross-platform news audience fragmentation and duplication. Journal of Communication, 67(4), 476-498. [https://doi.org/10.1111/jcom.12315]
- Garrett, R. K. (2009). Echo chambers online?: Politically motivated selective exposure among Internet news users. Journal of Computer-Mediated Communication, 14(2), 265-285. [https://doi.org/10.1111/j.1083-6101.2009.01440.x]
- Garrett, R. K., Carnahan, D., & Lynch, E. K. (2013). A turn toward avoidance? Selective exposure to online political information, 2004–2008. Political Behavior, 35(1), 113-134. [https://doi.org/10.1007/s11109-011-9185-6]
- Gearhart, S., & Zhang, W. (2015). “Was it something I said?” “No, it was something you posted!” A study of the spiral of silence theory in social media contexts. Cyber Psychology, Behavior, and Social Networking, 18(4), 208-213. [https://doi.org/10.1089/cyber.2014.0443]
- Gil de Zúñiga, H., Bachmann, I., Hsu, S. H., & Brundidge, J. (2013). Expressive versus consumptive blog use: Implications for interpersonal discussion and political participation. International Journal of Communication, 7, 1538-1559.
- Gil de Zúñiga, H., Weeks, B., & Ardèvol-Abreu, A. (2017). Effects of the news-finds-me perception in communication: Social media use implications for news seeking and learning about politics. Journal of Computer-Mediated Communication, 22(3), 105-123. [https://doi.org/10.1111/jcc4.12185]
- Haim, M., Graefe, A., & Brosius, H. B. (2018). Burst of the filter bubble? Effects of personalization on the diversity of Google News. Digital Journalism, 6(3), 330-343. [https://doi.org/10.1080/21670811.2017.1338145]
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: The Guilford Press.
- Huckfeldt, R. R., & Sprague, J. (1995). Citizens, politics and social communication: Information and influence in an election campaign. New York, NY: Cambridge University Press. [https://doi.org/10.1017/CBO9780511664113]
- Hwang, Y. S., & Kim, K. T. (2019). The Survey of Recommendation System Research Trends and Methods. Cybercommunication Academic Society, 36(2), 226-253. [https://doi.org/10.36494/JCAS.2019.06.36.2.221]
- Iyengar, S., & Hahn, K. S. (2009). Red media, blue media: Evidence of ideological selectivity in media use. Journal of Communication, 59(1), 19-39. [https://doi.org/10.1111/j.1460-2466.2008.01402.x]
- Kalyanaraman, S., & Sundar, S. S. (2006). The psychological appeal of personalized content in web portals: does customization affect attitudes and behavior? Journal of Communication, 56(1),110-132. [https://doi.org/10.1111/j.1460-2466.2006.00006.x]
- Kasanoff, B. (2001). Making it personal. Cambridge, MA: Perseus.
- Knobloch-Westerwick, S., & Meng, J. (2009). Looking the other way: Selective exposure to attitude-consistent and counterattitudinal political information. Communication Research, 36(3), 426-448. [https://doi.org/10.1177/0093650209333030]
- Lee, N. Y., & Cho, Y. J. (2017). Partisan knowledge learning or partisan interpretations - The influence of partisan media usage on attitude polarization toward partisan issues. Korean Journal of Journalism & Communication Studies, 61(5), 204-240.
- Littau, J., Thorson, E., Oh, H. J., Gardner, E., & Meyer, H. (2010, June). The role of two new measures of media use in political socialization responses on youth. Paper presented at the 60th Annual Conference of the International Communication Association in Singapore.
- McLeod, J. M., Scheufele, D. A., & Moy, P. (1999). Community, communication, and participation: The role of mass media and interpersonal discussion in local political participation. Political Communication, 16(3), 315-336. [https://doi.org/10.1080/105846099198659]
- Mutz, D. C. (2002). Cross-cutting social networks: Testing democratic theory in practice. American Political Science Review, 96(1), 111-126. [https://doi.org/10.1017/S0003055402004264]
- Mutz, D. C. (2006). Hearing the other side: Deliberative versus participatory democracy. Cambridge, UK: Cambridge University Press. [https://doi.org/10.1017/CBO9780511617201]
- Nie, N. H., Miller, D. W., III., Golde, S., Butler, D. M., & Winneg, K. (2010). The world wide web and the US political news market. American Journal of Political Science, 54(2), 428-439. [https://doi.org/10.1111/j.1540-5907.2010.00439.x]
- Noelle-Neumann, E. (1974). The spiral of silence a theory of public opinion. Journal of Communication, 24(2), 43-51. [https://doi.org/10.1111/j.1460-2466.1974.tb00367.x]
- Pariser, E. (2011). The filter bubble: What the Internet is hiding from you. New York, NY: Penguin Press.
- Park, J. S., & Lee, M. Y. (2019). Examining factors influencing college students’ attitude towards expressing political opinions on SNS: Focusing on the moderating role of beliefs on moral foundations. Cybercommunication Academic Society, 36(2), 5-41 [https://doi.org/10.36494/JCAS.2019.06.36.2.5]
- Pasek, J., Kenski, K., Romer, D., & Jamieson, K. H. (2006). America's youth and community engagement: How use of mass media is related to civic activity and political awareness in 14-to22-year-olds. Communication Research, 33(3), 115-135. [https://doi.org/10.1177/0093650206287073]
- Pateman, C. (1970). Participation and democratic theory. Cambridge, UK: Cambridge University Press. [https://doi.org/10.1017/CBO9780511720444]
- Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185-227. [https://doi.org/10.1080/00273170701341316]
- Prior, M. (2007). Post-broadcast democracy: How media choice increases inequality in political involvement and polarize selections. Cambridge, UK: Cambridge University Press. [https://doi.org/10.1017/CBO9781139878425]
- Rainie, L., Smith, A., & Duggan, M. (2012). Coming and going on Facebook. Washington, DC: Pew Research Center’s Internet and American Life Project. [https://doi.org/10.4018/978-1-4666-0315-8.ch003]
- Roberto, A. J., Krieger, J. L., & Beam, M. A. (2009). Enhancing web-based kidney disease prevention messages for His panics using targeting and tailoring. Journal of Health Communication, 14(6), 525-540. [https://doi.org/10.1080/10810730903089606]
- Roh, J. K., & Min, Y. (2012). Effects of politically motivated selective exposure on attitude polarization: A study of non-political online community users. Korean Journal of Journalism & Communication Studies, 56(2), 326-248.
- Scheufele, D. A., Nisbet, M. C., Brossard, D., & Nisbet, E. C. (2004). Social structure and citizenship: Examining the impacts of social setting, network heterogeneity, and informational variables on political participation. Political Communication, 21(3), 315-338. [https://doi.org/10.1080/10584600490481389]
- Sears, D. O., & Freedman, J. L. (1967). Selective exposure to information: A critical review. Public Opinion Quarterly, 31(2), 194-213. [https://doi.org/10.1086/267513]
- Shin, D. H., & Lee, J. H. (2014). Does survey response on the use of internet news sites reflect actual use of the sites? An exploration of selective exposure and in-group bias. Korean Journal of Broadcasting, 28(4), 157-197.
- Smith, A., & Duggan, M. (2012). Online political videos and campaign 2012. Washington, DC: Pew Internet & American Life Project.
- Song, H., Cho, J., & Benefield, G. A. (2020). The Dynamics of Message Selection in Online Political Discussion Forums: Self-Segregation or Diverse Exposure? Communication Research, 47(1), 125-152. [https://doi.org/10.1177/0093650218790144]
- Stroud, N. J. (2010). Polarization and partisan selective exposure. Journal of Communication, 60(3), 556-576. [https://doi.org/10.1111/j.1460-2466.2010.01497.x]
- Sundar, S. S. (2008). Self as source: Agency and customization in interactive media. In E. A. Konijn, S. Utz, M. Tanis, & S. B. Barnes (Eds.), Mediated interpersonal communication (pp. 72-88). New York, NY: Routledge.
- Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36(3), 298-322. [https://doi.org/10.1111/j.1468-2958.2010.01377.x]
- Sunstein, C. R. (2001). Republic. com. Princeton, NJ: Princeton university press.
- Sunstein, C. R. (2002). The law of group polarization. Journal of Political Philosophy, 10(2), 175-195. [https://doi.org/10.1111/1467-9760.00148]
- Sunstein, C. R. (2009). Republic. com 2.0. Princeton, NJ: Princeton university press.
- Taber, C. S., & Lodge, M. (2006). Motivated skepticism in the evaluation of political beliefs. American Journal of Political Science, 50(3), 755-769. [https://doi.org/10.1111/j.1540-5907.2006.00214.x]
- Thurman, N., & Schifferes, S. (2012). The future of personalization at news websites: Lessons from a longitudinal study. Journalism Studies, 13(5-6), 775-790. [https://doi.org/10.1080/1461670X.2012.664341]
- Valentino, N. A., Banks, A. J., Hutchings, V. L., & Davis, A. K. (2009). Selective exposure in the Internet age: The interaction between anxiety and information utility. Political Psychology, 30(4), 591-613. [https://doi.org/10.1111/j.1467-9221.2009.00716.x]
- Vraga, E. K., Thorson, K., Kligler-Vilenchik, N., & Gee, E. (2015). How individual sensitivities to disagreement shape youth political expression on Facebook. Computers in Human Behavior, 45, 281-289 [https://doi.org/10.1016/j.chb.2014.12.025]
- Weeks, B. E., Ardèvol-Abreu, A., & Gilde Zúñiga, H. (2017). Online influence? Social media use, opinion leadership, and political persuasion. International Journal of Public Opinion Research, 29(2), 214-239.
- Weeks, B. E., Lane, D. S., Kim, D. H., Lee, S. S., & Kwak, N. (2017). Incidental exposure, selective exposure, and political information sharing: Integrating online exposure patterns and expression on social media. Journal of Computer-Mediated Communication, 22(6), 363-379. [https://doi.org/10.1111/jcc4.12199]
- Wojcieszak, M. E., & Mutz, D. C. (2009). Online groups and political discourse: Do online discussion spaces facilitate exposure to political disagreement? Journal of Communication, 59(1), 40-56. [https://doi.org/10.1111/j.1460-2466.2008.01403.x]
- Wollebæk, D., Karlsen, R., Steen-Johnsen, K., & Enjolras, B. (2019). Anger, Fear, and Echo Chambers: The Emotional Basis for Online Behavior [On-Line]. Social Media+ Society, 5(2). [https://doi.org/10.1177/2056305119829859]
- Yamamoto, M., Kushin, M. J., & Dalisay, F. (2015). Social media and mobiles as political mobilization forces for young adults: Examining the moderating role of online political expression in political participation. New Media & Society, 17(6), 880-898. [https://doi.org/10.1177/1461444813518390]