Exposure without Belief: Mapping Awareness–Acceptance Gaps in Indonesian Political Controversies

Authors

Keywords:

Acceptance, agenda setting, misperceptions, motivated reasoning, public opinion, selective exposure, trust

Abstract

Digital political controversies can spread widely without being equally believed, creating a gap between public exposure and public endorsement. This study examines whether awareness of political and governance issues in Indonesia translates into acceptance, and where the largest divergences occur. It analyses aggregated results from a national telephone survey of 1,286 respondents conducted on 17–20 May 2025. Awareness is defined as self-reported recognition of an issue, while acceptance refers to the paired survey evaluation: belief in an allegation, confidence in case resolution, satisfaction with institutional performance, or agreement with policy proposals. The study calculates awareness–acceptance gaps and compares patterns across political support, demographic, regional, and media-access groups. The findings show that awareness and acceptance often diverge. A prominent factual allegation produces the largest positive gap, indicating high awareness but limited belief, while several policy and performance items show acceptance exceeding awareness. Belief is also concentrated in specific political constituencies and information environments. The study argues that visibility is a poor proxy for persuasion and offers a transparent method for analysing published survey tabulations when individual-level data are unavailable.

References

Adams, Zoë, Magda Osman, Christos Bechlivanidis, and Björn Meder. 2023. “(Why) Is Misinformation a Problem?” Perspectives on Psychological Science 18 (6): 1436–63. https://doi.org/10.1177/17456916221141344.

Allcott, Hunt, and Matthew Gentzkow. 2017. “Social Media and Fake News in the 2016 Election.” Journal of Economic Perspectives 31 (2): 211–36. https://doi.org/10.1257/jep.31.2.211.

Allen, Jennifer, Baird Howland, Markus Mobius, David Rothschild, and Duncan J. Watts. 2020. “Evaluating the Fake News Problem at the Scale of the Information Ecosystem.” Science Advances 6 (14): eaay3539. https://doi.org/10.1126/sciadv.aay3539.

Bail, Christopher A., Lisa P. Argyle, Taylor W. Brown, John P. Bumpus, Haohan Chen, M. B. Fallin Hunzaker, Jaemin Lee, Marcus Mann, Friedolin Merhout, and Alexander Volfovsky. 2018. “Exposure to Opposing Views on Social Media Can Increase Political Polarization.” Proceedings of the National Academy of Sciences 115 (37): 9216–21. https://doi.org/10.1073/pnas.1804840115.

Basol, Melisa, Jon Roozenbeek, and Sander van der Linden. 2020. “Good News about Bad News: Gamified Inoculation Boosts Confidence and Cognitive Immunity against Fake News.” Journal of Cognition 3 (1): 2. https://doi.org/10.5334/joc.91.

Bethlehem, Jelke. 2020. “Working with Response Probabilities.” Journal of Official Statistics 36 (3): 647–74. https://doi.org/10.2478/JOS-2020-033.

Bode, Leticia, and Emily K. Vraga. 2018. “See Something, Say Something: Correction of Global Health Misinformation on Social Media.” Health Communication 33 (9): 1131–40. https://doi.org/10.1080/10410236.2017.1331312.

Brashier, Nadia M., Gordon Pennycook, Adam J. Berinsky, and David G. Rand. 2021. “Timing Matters When Correcting Fake News.” Proceedings of the National Academy of Sciences 118 (5): e2020043118. https://doi.org/10.1073/pnas.2020043118.

Chan, Man-pui Sally, Christopher R. Jones, Kathleen Hall Jamieson, and Dolores Albarracín. 2017. “Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation.” Psychological Science 28 (11): 1531–46. https://doi.org/10.1177/0956797617714579.

Dahlke, Ross, Deepak Kumar, Zakir Durumeric, and Jeffrey T. Hancock. 2025. “Quantifying the Systematic Bias in the Accessibility and Inaccessibility of Web Scraping Content From URL-Logged Web-Browsing Digital Trace Data.” Social Science Computer Review 43 (5): 1071–86. https://doi.org/10.1177/08944393231218214.

Diatta, Ibrahima Dina, and André Berchtold. 2023. “Impact of Missing Information on Day-to-Day Research Based on Secondary Data.” International Journal of Social Research Methodology 26 (6): 759–72. https://doi.org/10.1080/13645579.2022.2103983.

Gnaldi, Michela, Venera Tomaselli, and Antonio Forcina. 2018. “Ecological Fallacy and Covariates: New Insights Based on Multilevel Modelling of Individual Data.” International Statistical Review 86 (1): 119–35. https://doi.org/10.1111/insr.12244.

Grinberg, Nir, Kenneth Joseph, Lisa Friedland, Briony Swire-Thompson, and David Lazer. 2019. “Fake News on Twitter during the 2016 U.S. Presidential Election.” Science 363 (6425): 374–78. https://doi.org/10.1126/science.aau2706.

Guess, Andrew, Jonathan Nagler, and Joshua Tucker. 2019. “Less than You Think: Prevalence and Predictors of Fake News Dissemination on Facebook.” Science Advances 5 (1): eaau4586. https://doi.org/10.1126/sciadv.aau4586.

Guess, Andrew M., Brendan Nyhan, and Jason Reifler. 2020. “Exposure to Untrustworthy Websites in the 2016 U.S. Election.” Nature Human Behaviour 4 (5): 472–80. https://doi.org/10.1038/s41562-020-0833-x.

Humprecht, Edda, Frank Esser, and Peter Van Aelst. 2020. “Resilience to Online Disinformation: A Framework for Cross-National Comparative Research.” The International Journal of Press/Politics 25 (3): 493–516. https://doi.org/10.1177/1940161219900126.

Indikator Politik Indonesia. 2025. “Tingkat Kepercayaan Publik atas Kinerja Lembaga-Lembaga Negara dan Pemberantasan Korupsi: Temuan Survei Telepon Nasional 17–20 Mei 2025.” Jakarta: Indikator Politik Indonesia. https://indikator.co.id.

Kunda, Ziva. 1990. “The Case for Motivated Reasoning.” Psychological Bulletin 108 (3): 480–98. https://doi.org/10.1037/0033-2909.108.3.480.

Lazer, David M. J., Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, et al. 2018. “The Science of Fake News.” Science 359 (6380): 1094–96. https://doi.org/10.1126/science.aao2998.

Lim, Merlyna. 2017. “Freedom to Hate: Social Media, Algorithmic Enclaves, and the Rise of Tribal Nationalism in Indonesia.” Critical Asian Studies 49 (3): 411–27. https://doi.org/10.1080/14672715.2017.1341188.

Lodge, Milton, and Charles S. Taber. 2013. The Rationalizing Voter. New York: Cambridge University Press.

Lord, Charles G., Lee Ross, and Mark R. Lepper. 1979. “Biased Assimilation and Attitude Polarization: The Effects of Prior Theories on Subsequently Considered Evidence.” Journal of Personality and Social Psychology 37 (11): 2098–2109. https://doi.org/10.1037/0022-3514.37.11.2098.

Mari, Silvia, Homero Gil de Zúñiga, Ahmet Suerdem, Katja Hanke, Gary Brown, Roosevelt Vilar, Diana Boer, and Michal Bilewicz. 2022. “Conspiracy Theories and Institutional Trust: Examining the Role of Uncertainty Avoidance and Active Social Media Use.” Political Psychology 43 (2). https://doi.org/10.1111/pops.12754.

Pennycook, Gordon, Adam Bear, Evan T. Collins, and David G. Rand. 2020. “The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines without Warnings.” Management Science 66 (11): 4944–57. https://doi.org/10.1287/mnsc.2019.3478.

Pennycook, Gordon, Tyrone D. Cannon, and David G. Rand. 2018. “Prior Exposure Increases Perceived Accuracy of Fake News.” Journal of Experimental Psychology: General 147 (12): 1865–80. https://doi.org/10.1037/xge0000465.

Pennycook, Gordon, Ziv Epstein, Mohsen Mosleh, Antonio A. Arechar, Dean Eckles, and David G. Rand. 2021. “Shifting Attention to Accuracy Can Reduce Misinformation Online.” Nature 592 (7855): 590–95. https://doi.org/10.1038/s41586-021-03344-2.

Pennycook, Gordon, and David G. Rand. 2019. “Lazy, Not Biased: Susceptibility to Partisan Fake News Is Better Explained by Lack of Reasoning than by Motivated Reasoning.” Cognition 188: 39–50. https://doi.org/10.1016/j.cognition.2018.06.011.

Pennycook, Gordon, and David G. Rand. 2021. “The Psychology of Fake News.” Trends in Cognitive Sciences 25 (5): 388–402. https://doi.org/10.1016/j.tics.2021.02.007.

Roozenbeek, Jon, and Sander van der Linden. 2019. “Fake News Game Confers Psychological Resistance against Online Misinformation.” Palgrave Communications 5: 65. https://doi.org/10.1057/s41599-019-0279-9.

Struminskaya, Bella, and Tobias Gummer. 2022. “Risk of Nonresponse Bias and the Length of the Field Period in a Mixed-Mode General Population Panel.” Journal of Survey Statistics and Methodology 10 (1): 161–82. https://doi.org/10.1093/jssam/smab011.

Sturgis, Patrick, and Rebekah Luff. 2021. “The Demise of the Survey? A Research Note on Trends in the Use of Survey Data in the Social Sciences, 1939 to 2015.” International Journal of Social Research Methodology 24 (6): 691–96. https://doi.org/10.1080/13645579.2020.1844896.

Sutton, Robbie M., and Karen M. Douglas. 2020. “Conspiracy Theories and the Conspiracy Mindset: Implications for Political Ideology.” Current Opinion in Behavioral Sciences 34: 118–22. https://doi.org/10.1016/j.cobeha.2020.02.015.

Taber, Charles S., and Milton Lodge. 2006. “Motivated Skepticism in the Evaluation of Political Beliefs.” American Journal of Political Science 50 (3): 755–69. https://doi.org/10.1111/j.1540-5907.2006.00214.x.

Tappin, Ben M., Gordon Pennycook, and David G. Rand. 2020. “Bayesian or Biased? Analytic Thinking and Political Belief Updating.” Cognition 204: 104375. https://doi.org/10.1016/j.cognition.2020.104375.

Vaccari, Cristian, and Andrew Chadwick. 2020. “Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News.” Social Media + Society 6 (1). https://doi.org/10.1177/2056305120903408.

Van Bavel, Jay J., and Andrea Pereira. 2018. “The Partisan Brain: An Identity-Based Model of Political Belief.” Trends in Cognitive Sciences 22 (3): 213–24. https://doi.org/10.1016/j.tics.2018.01.004.

van Zoonen, Ward, Vilma Luoma-aho, and Matias Lievonen. 2024. “Trust but Verify? Examining the Role of Trust in Institutions in the Spread of Unverified Information on Social Media.” Computers in Human Behavior 150: 107992. https://doi.org/10.1016/j.chb.2023.107992.

Vinck, Patrick, Phuong N. Pham, Kenedy K. Bindu, Juliet Bedford, and Eric J. Nilles. 2019. “Institutional Trust and Misinformation in the Response to the 2018–19 Ebola Outbreak in North Kivu, DR Congo: A Population-Based Survey.” The Lancet Infectious Diseases 19: 529–36. https://doi.org/10.1016/S1473-3099(19)30063-5.

Vosoughi, Soroush, Deb Roy, and Sinan Aral. 2018. “The Spread of True and False News Online.” Science 359 (6380): 1146–51. https://doi.org/10.1126/science.aap955.

Walter, Nathan, Jonathan Cohen, R. Lance Holbert, and Yasmin Morag. 2020. “Fact-Checking: A Meta-Analysis of What Works and for Whom.” Political Communication 37 (3): 350–75. https://doi.org/10.1080/10584609.2019.1668894.

Walter, Nathan, and Riva Tukachinsky. 2020. “A Meta-Analytic Examination of the Continued Influence of Misinformation in the Face of Correction: How Powerful Is It, Why Does It Happen, and How to Stop It?” Communication Research 47 (2): 155–77. https://doi.org/10.1177/0093650219854600.

Wood, Thomas, and Ethan Porter. 2019. “The Elusive Backfire Effect: Mass Attitudes’ Steadfast Factual Adherence.” Political Behavior 41 (1): 135–63. https://doi.org/10.1007/s11109-018-9443-y.

Downloads

Published

2026-06-29

How to Cite

Zidan, Z., & Hemay, I. (2026). Exposure without Belief: Mapping Awareness–Acceptance Gaps in Indonesian Political Controversies. JISPO Jurnal Ilmu Sosial Dan Ilmu Politik, 16(1), 179–208. Retrieved from https://journal.uinsgd.ac.id/index.php/jispo/article/view/53702

Citation Check

Similar Articles

You may also start an advanced similarity search for this article.