Luc-Chia-Shin Lin e-mail(Login required)

Main Article Content

Authors

Luc-Chia-Shin Lin e-mail(Login required)

Abstract

226

In 2018, Taiwan held a referendum on same-sex marriage issues. Since it was the first time the public had an opportunity to make a decision on such issues, it became a battleground for conflicting ideologies, in which false messages were employed to influence voters. The current study focuses on the factors that might help people to stop the circulation of false messages. Social capital, political efficacy, and the theory of planned behavior have been integrated to develop a theoretical framework. The current study employs a 2x2 experimental design with partial least squares structural modelling to examine the hypotheses. The results demonstrated that people rarely follow rational routes to make voting decision on such issues. Voters are not concerned with the truthfulness of the messages but their stance. However, people might conceal their stance when facing weak ties of their social relations.

Keywords

Same-sex marriage, referendum, social capital, political efficacy, Taiwan

References

Aharony, N. (2015). What’s App: a social capital perspective. Online Information Review, 39(1), 26-42. https://www.doi.org/10.1108/OIR-08-2014-0177

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://www.doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I., Joyce, N., Sheikh, S. & Cote, N. G. (2011). Knowledge and the Prediction of Behavior: The Role of Information Accuracy in the Theory of Planned Behavior. Basic and Applied Social Psychology, 33(2), 101-117. https://www.doi.org/10.1080/01973533.2011.568834

Alexander, D. E. (2014). Social Media in Disaster Risk Reduction and Crisis Management. Science and Engineering Ethics, 20(3), 717-733. https://www.doi.org/10.1007/s11948-013-9502-z

Ansolabehere, S. & Iyengar, S. (1994). Riding the Wave and Claiming Ownership Over Issues: The Joint Effects of Advertising and News Coverage in Campaigns. Public Opinion Quarterly, 58(3), 335-357. https://www.doi.org/10.1086/269431

Binelli, A. (2018). Memory of the Rising and Futurology in the Same-Sex Marriage Referendum Debate. Studi Irlandesi: A Journal of Irish Studies, 8(8), 303-318. Retrieved from http://www.fupress.net/index.php/bsfm-sijis/article/view/23379

Bourdieu, P. & Wacquant, L. (1992). An Invitation to Reflexive Sociology. Chicago, IL.: University of Chicago Press.

Burnett, C. M. (2019). Information and direct democracy: What voters learn about ballot measures and how it affects their votes. Electoral Studies, 57, 223-244. https://www.doi.org/10.1016/j.electstud.2018.12.001

Burnett, C. M. & McCubbins, M. D. (2014). Sex and the ballot box: perception of ballot measures regarding same-sex marriage and abortion in California. Journal of Public Policy, 34(1), 3-33. https://www.doi.org/10.1017/S0143814X13000226

Camarero, C. & San José, R. (2011). Social and attitudinal determinants of viral marketing dynamics. Computers in Human Behavior, 27(6), 2292-2300. https://www.doi.org/10.1016/j.chb.2011.07.008

Campbell, A., Gurin, G. & Miller, W. E. (1954). The voter decides. Oxford, UK: Row, Peterson, and Co.

Campbell, M. C., Mohr, G. S. & Verlegh, P. W. J. (2013). Can disclosures lead consumers to resist covert persuasion? The important roles of disclosure timing and type of response. Journal of Consumer Psychology, 23(4), 483-495. https://www.doi.org/10.1016/j.jcps.2012.10.012

Castillo, C., Mendoza, M. & Poblete, B. (2013). Predicting information credibility in time-sensitive social media. Internet Research, 23(5), 560-588. https://www.doi.org/10.1108/IntR-05-2012-0095

Central Election Commission, R. (2018). The results of 2018 Referendum.

Chen, M. H., Ko, N. Y., Huang, Y. T., Hu, H. F., Lu, W. H. & Yen, C. F. (2021). Poor mental health among Taiwanese people experiencing the public debates on and referendums for same-sex marriage: A Facebook online survey. J Formos Med Assoc, 120(4), 1069-1079. https://www.doi.org/10.1016/j.jfma.2020.10.027

Cheung, M. F. Y. & To, W. M. (2017). The influence of the propensity to trust on mobile users’ attitudes toward in-app advertisements: An extension of the theory of planned behavior. Computers in Human Behavior, 76, 102-111. https://www.doi.org/10.1016/j.chb.2017.07.011

Craig, S. C., Niemi, R. G. & Silver, G. E. (1990). Political Efficacy and Trust: A Report on the NES Pilot Study Items. Political Behavior, 12(3), 289-314. Retrieved from http://www.jstor.org/stable/586303

Fisher, S. F. (2017). Before the Wedding Dance: Citizen Policymaking on Same-Sex Marriage. California Journal of Politics and Policy, 9(3). http://www.doi.org/10.5070/P2cjpp9336922

Flanagin, A. J. & Metzger, M. (2008). Digital Media and Youth: Unparalleled Opportunity and Unprecedented Responsibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital Media, Youth, and Credibility (Vol. The John D. and Catherine T. MacArthur Foundation Series on Digital Media and Learning). Cambridge, MA: The MIT Press.

Fornell, C. & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.

Gan, C. & Wang, W. (2015). Uses and gratifications of social media: a comparison of microblog and WeChat. Journal of Systems and Information Technology, 17(4), 351-363. https://www.doi.org/10.1108/JSIT-06-2015-0052

Gross, J. H. & Johnson, K. T. (2016). Twitter Taunts and Tirades: Negative Campaigning in the Age of Trump. PS: Political Science and Politics, 49(4), 748-754. https://www.doi.org/10.1017/S1049096516001700

Hair, J. F., Hult, G. T. M., Ringle, C. & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd Edition). Los Angeles, CA: Sage.

Han, H. (2015). Travelers’ pro-environmental behavior in a green lodging context: Converging value-belief-norm theory and the theory of planned behavior. Tourism Management, 47, 164-177. https://www.doi.org/10.1016/j.tourman.2014.09.014

Kimmel, M. (1999). A proposal to strengthen the right of response to negative campaign commercials. Catholic University Law Review, 49(1), pp.

Ko, N. Y., Lin, I. H., Huang, Y. T., Chen, M. H., Lu, W. H. & Yen, C. F. (2020). Associations of Perceived Socially Unfavorable Attitudes toward Homosexuality and Same-Sex Marriage with Suicidal Ideation in Taiwanese People before and after Same-Sex Marriage Referendums. Int J Environ Res Public Health, 17(3) . https://www.doi.org/10.3390/ijerph17031047

Lee, T. (2019). The global rise of “fake news” and the threat to democratic elections in the USA. Public Administration and Policy, 22(1), 15-24. https://www.doi.org/10.1108/PAP-04-2019-0008

Lin, H. C., Chen, Y. L., Ko, N. Y., Chang, Y. P., Lu, W. H. & Yen, C. F. (2021). Perception of Attitudes of the General Population toward Homosexuality in Taiwan: Roles of Demographic Factors, Mental Health, and Social Debates on Legalizing Same-Sex Marriage. Int J Environ Res Public Health, 18(5) . https://www.doi.org/10.3390/ijerph18052618

Lutzke, L., Drummond, C., Slovic, P. & Árvai, J. (2019). Priming critical thinking: Simple interventions limit the influence of fake news about climate change on Facebook. Global Environmental Change, 58, 101964. https://www.doi.org/10.1016/j.gloenvcha.2019.101964

Marks, E., Manning, M. & Ajzen, I. (2012). The Impact of Negative Campaign Ads. Journal of Applied Social Psychology, 42(5), 1280-1292. https://www.doi.org/10.1111/j.1559-1816.2012.00912.x

Martin, P. S. (2004). Inside the Black Box of Negative Campaign Effects: Three Reasons Why Negative Campaigns Mobilize. Political Psychology, 25(4), 545-562. https://www.doi.org/10.1111/j.1467-9221.2004.00386.x

Mayer, W. G. (1996). In Defense of Negative Campaigning. Political Science Quarterly, 111(3), 437-455.

Min, Y. (2004). News Coverage of Negative Political Campaigns: An Experiment of Negative Campaign Effects on Turnout and Candidate Preference. The Harvard International Journal of Press/Politics, 9(4), 95-111. https://www.doi.org/10.1177/1081180x04271861

Momoc, A. (2010). Online Negative Campaign in the 2004 Romanian Presidential Elections. Styles of Communication, 2(1), 89.

Munzel, A. (2016). Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus. Journal of Retailing and Consumer Services, 32(Suppl. C), 96-108. https://www.doi.org/10.1016/j.jretconser.2016.06.002

O’Connor, C. (2017). ‘Appeals to nature’ in marriage equality debates: A content analysis of newspaper and social media discourse. British Journal of Social Psychology, 56(3), 493-514. https://www.doi.org/10.1111/bjso.12191

Putnam, R. D. (2000). Bowling Alone: The Collapse and Revival of American Community. New York, NY: Simon & Schuster.

Quinn, K. (2016). Why We Share: A Uses and Gratifications Approach to Privacy Regulation in Social Media Use. Journal of Broadcasting & Electronic Media, 60(1), 61-86. https://www.doi.org/10.1080/08838151.2015.1127245

Reichert, F. (2016). How Internal Political Efficacy Translates Political Knowledge Into Political Participation. Europe’s Journal of Psychology, 12(2), 221-241.

Simon, C. A., Matland, R. E., Wendell, D. G. & Tatalovich, R. (2018). Voting Turnout and Referendum Outcomes on Same-Sex Marriage, 1998–2015*. Social Science Quarterly, 99(4), 1522-1534. https://www.doi.org/10.1111/ssqu.12518

Sánchez-Moya, A. & Cruz-Moya, O. (2015). “Hey there! I am using WhatsApp”: A Preliminary Study of Recurrent Discursive Realisations in a Corpus of WhatsApp Statuses. Procedia - Social and Behavioral Sciences, 212, 52-60. http://www.doi.org/10.1016/j.sbspro.2015.11.298

Sullivan, J. & Sapir, E. (2012). Nasty or Nice? Explaining Positive and Negative Campaign Behavior in Taiwan. The China Journal, 67, 149-170. https://www.doi.org/10.1086/665744

Surlin, S. H. & Gordon, T. F. (1977). How Values Affect Attitudes Toward Direct Reference Political Advertising. Journalism Quarterly, 54(1), 89-98. https://www.doi.org/10.1177/107769907705400113

Syn, S. Y. & Oh, S. (2015). Why do social network site users share information on Facebook and Twitter? Journal of Information Science, 41(5), 553-569. https://www.doi.org/10.1177/0165551515585717

Tanaka, Y., Sakamoto, Y. & Matsuka, T. (2013). Toward a Social-Technological System that Inactivates False Rumors through the Critical Thinking of Crowds. Paper presented at the 2013 46th Hawaii International Conference on System Sciences(HICSS), Wailea, Maui, HI USA.

Taneja, A., Vitrano, J. & Gengo, N. J. (2014). Rationality-based beliefs affecting individual’s attitude and intention to use privacy controls on Facebook: An empirical investigation. Computers in Human Behavior, 38, 159–173. https://www.doi.org/10.1016/j.chb.2014.05.027

Tripathy, R. M., Bagchi, A. & Mehta, S. (2010, October 26-30, 2010). A study of rumor control strategies on social networks. Paper presented at the 19th ACM Conference on Information and Knowledge Management, Toronto, Ontario, Canada.

Walter, A. S. (2014). Negative Campaigning in Western Europe: Similar or Different? Political Studies, 62(S1), 42-60. https://www.doi.org/10.1111/1467-9248.12084

Wang, C.-H., Lin, T.-j., Weng, D. L.-C. & Chang, Y.-B. (2020). Personality Traits and Individual Attitudes Toward Same-Sex Marriage: Evidence from Taiwan. Sexuality Research and Social Policy, 17(3), 524-540. https://www.doi.org/10.1007/s13178-019-00401-4

Wang, P.-H. (2020). Stance, framing, and the construction of reality in Facebook comments about Taiwan’s same-sex marriage bills. Discourse & Society, 31(2), 218-234. https://www.doi.org/10.1177/0957926519880035

Wang, Y. C., Chang, S. R. & Miao, N. F. (2022). Suicide attempts among Taiwanese lesbian, gay, bisexual, and transgender adults during the 2018 Taiwan referendum on same-sex issues. J Nurs Scholarsh, 54(3), 388-395. https://www.doi.org/10.1111/jnu.12744

Wetzels, M., Odekerken-Schroder, G. & van Oppen, C. (2009). Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration. MIS Quarterly, 33(1), 177-195. Retrieved from http://www.jstor.org/stable/20650284

Williams, D. (2006). On and Off the ‘Net: Scales for Social Capital in an Online Era. Journal of Computer-Mediated Communication, 11(2), 593-628. https://www.doi.org/10.1111/j.1083-6101.2006.00029.x

Wu, H. D. & Dahmen, N. S. (2010). Web Sponsorship and Campaign Effects: Assessing the Difference Between Positive and Negative Web Sites. Journal of Political Marketing, 9(4), 314-329. https://www.doi.org/10.1080/15377857.2010.522454

Wu, T.-Y. (2021). Proactive Opinion Expression Avoidance about Same-Sex Marriage on Social Media: Acceptance, Reactance, and Self-Censorship. Mass Communication and Society, 24(6), 918-942. https://www.doi.org/10.1080/15205436.2021.1905848

Zhang, K. Z. K., Zhao, S. J., Cheung, C. M. K. & Lee, M. K. O. (2014). Examining the influence of online reviews on consumers’ decision-making: A heuristic–systematic model. Decision Support Systems, 67, 78-89. http://www.doi.org/10.1016/j.dss.2014.08.005

Zhao, L., Yin, J. & Song, Y. (2016). An exploration of rumor combating behavior on social media in the context of social crises. Computers in Human Behavior, 58(Suppl. C), 25-36. https://www.doi.org/10.1016/j.chb.2015.11.054

Zhao, X., Tang, Q., Liu, S. & Liu, F. (2016). Social capital, motivations, and mobile coupon sharing. Industrial Management & Data Systems, 116(1), 188-206. https://www.doi.org/10.1108/IMDS-05-2015-0184

Metrics

Search GoogleScholar


Details

Article Details

Section
Articles