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題名 探討馬來西亞人在第 15 屆大選(PRU15)期間的事實核查行為
Are Malaysians fact-checking? Exploring Malaysians’ Fact-checking Behaviour during the General Election 15 (PRU15)作者 邱潓珊
Hiew, Hui-San貢獻者 施琮仁
Shih, Tsung-Jen
邱潓珊
Hiew, Hui-San關鍵詞 錯誤資訊
馬來西亞
大選
事實查核
計劃行為理論
Misinformation
Malaysia
general election
fact-checking
theory of planned behavior日期 2024 上傳時間 1-Jul-2024 12:27:36 (UTC+8) 摘要 本研究探討馬來西亞人在選舉期間如何看待和應對錯誤資訊,主要關注其事實查核的 動機。基於計劃行為理論(TPB),我們探討社會壓力(主觀規範)和信息評估的自 信(自我效能)對事實查核意圖的影響。選舉期間在線信息的激增挑戰選民分辨真偽 的能力。本研究通過探討在東南亞多元文化國家馬來西亞的背景下對錯誤資訊的反應, 填補了這一關鍵空白。 本研究通過線上問卷調查了 431 名馬來西亞參與者,測量他們對錯誤資訊的接觸程度、 主觀規範、自我效能和事實查核意圖。研究發現,接觸錯誤資訊與事實查核意圖之間 存在正相關,這表明馬來西亞人意識到這一問題並在遇到錯誤資訊時有動機驗證信息。 此外,根據 TPB 框架,研究發現主觀規範和自我效能是影響事實查核意圖的重要因素。 值得注意的是,華人在主觀規範和自我效能之間的關係上具有調節作用。 本研究有助於理解多元文化社會如馬來西亞的事實查核行為。它揭示了選舉期間社會 壓力、自我效能和事實查核之間的相互作用。這些知識可用於制定應對錯誤資訊的策 略,通過解決社會規範和增強公眾對信息來源評估的信心來對抗錯誤資訊。此外,本 研究對於探索自我效能作為主觀規範和事實查核意圖之間的中介作用也為 TPB 文獻提 供了寶貴的貢獻。本研究為進一步探索奠定了基礎。未來的研究可以調查馬來西亞人 遇到的錯誤資訊及其首選的事實查核方法。同時,研究信息素養教育和旨在增強信息 評估自我效能的干預措施的作用也可能是有意義的。
This study investigates how Malaysians perceive and respond to misinformation during elections, primarily focusing on their motivations to fact-check. Grounded in the Theory of Planned Behavior (TPB), we explore the influence of social pressure (subjective norms) and confidence in information evaluation (self-efficacy) on fact-checking intentions. The proliferation of online information, particularly during elections, challenges voters to discern truth from falsehood. This study addresses this critical gap by examining responses to misinformation in the under-researched context of Malaysia, a multicultural Southeast Asian nation. An online survey was conducted among 431 Malaysian participants, measuring exposure to misinformation, subjective norms, self-efficacy, and fact-checking intentions. The research revealed a positive correlation between exposure to misinformation and the intention to fact-check, suggesting that Malaysians are aware of the issue and motivated to verify information when encountering misinformation. Additionally, the study identified subjective norms and self-efficacy as significant factors influencing fact-checking intentions according to the TPB framework. Notably, Chinese ethnicity moderates the relationship between subjective norms and self-efficacy. This research contributes to understanding fact-checking behaviour in multicultural societies like Malaysia. It sheds light on the interplay between social pressure, self-efficacy, and fact-checking during elections. This knowledge can inform strategies to combat misinformation by addressing social norms and building public confidence in evaluating information sources. Furthermore, the study's exploration of self-efficacy as a mediator between subjective norms and fact-checking intention offers a valuable contribution to the TPB literature. This research lays the groundwork for further exploration. Future studies could examine the misinformation Malaysians encounter and their preferred fact-checking methods. Additionally, it could be insightful to investigate the role of media literacy education and interventions designed to enhance self-efficacy in information evaluation.參考文獻 Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/https://doi.org/10.1016/0749-5978(91)90020-T Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314-324. https://doi.org/https://doi.org/10.1002/hbe2.195 Albury, N. J. (2019). Between public perception and government intent in national language policy. Current Issues in Language Planning, 20(2), 160-178. https://doi.org/10.1080/14664208.2018.1468963 Allcott, H., & Gentzkow, M. (2017). Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives, 31(2), 211-236. https://doi.org/10.1257/jep.31.2.211 Ananthalakshmi, A. (2018). Ahead of Malaysian polls, bots flood Twitter with pro-government messages https://www.reuters.com/article/us-malaysia-election-socialmedia/ahead-of-malaysian-polls-bots-flood-twitter-with-pro-government-messages-idUSKBN1HR2AQ/ Apandi, L. S. A. (2021, 2021). An Examination Of Sebenarnya.My As A Fact-Checker. Ariff, A. H. M., Bidin, Z., Sharif, Z., & Ahmad, A. (2010). PREDICTING ENTREPRENEURSHIP INTENTION AMONG MALAY UNIVERSITY ACCOUNTING STUDENTS IN MALAYSIA. Awang-Hashim, R., O'Neil Jr, H. F., & Hocevar, D. (2002). Ethnicity, Effort, Self-Efficacy, Worry, and Statistics Achievement in Malaysia: A Construct Validation of the State-Trait Motivation Model. Educational Assessment, 8(4), 341-364. https://doi.org/10.1207/S15326977EA0804_3 Badrinathan, S., & Chauchard, S. (2024). Researching and countering misinformation in the Global South. Current Opinion in Psychology, 55, 101733. https://doi.org/https://doi.org/10.1016/j.copsyc.2023.101733 Baeker Bispo, J., Douyon, A., Ashad-Bishop, K., Balise, R., & Kobetz, E. (2023). How Trust in Cancer Information Has Changed in the Era of COVID-19: Patterns by Race and Ethnicity. Journal of Health Communication, 28(3), 131-143. https://doi.org/10.1080/10810730.2022.2117439 Baines, A., Seo, H., Ittefaq, M., Shayesteh, F., Kamanga, U., & Liu, Y. (2023). Race/ethnicity, online information and COVID-19 vaccination: Study of minority immigrants’ internet use for health-related information. Convergence, 29(2), 268-287. https://doi.org/10.1177/13548565221116075 Balakrishnan, V. (2022). COVID-19 and fake news dissemination among Malaysians – Motives and its sociodemographic correlates. International Journal of Disaster Risk Reduction, 73, 102900. https://doi.org/https://doi.org/10.1016/j.ijdrr.2022.102900 Balakrishnan, V., Ng, K. S., & Rahim, H. A. (2021). To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia. Technology in Society, 66, 101676. https://doi.org/https://doi.org/10.1016/j.techsoc.2021.101676 Balakrishnan, V., & Norman, A.-A. (2020). Psychological motives of cyberbullying among Malaysian young adults. Asia Pacific Journal of Social Work and Development, 30(3), 181-194. https://doi.org/10.1080/02185385.2020.1772101 Bamberg, S., & Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Environmental Psychology, 27(1), 14-25. https://doi.org/https://doi.org/10.1016/j.jenvp.2006.12.002 Bandura, A., Caprara, G. V., Barbaranelli, C., Gerbino, M., & Pastorelli, C. (2003). Role of affective self-regulatory efficacy in diverse spheres of psychosocial functioning. Child Dev, 74(3), 769-782. https://doi.org/10.1111/1467-8624.00567 Bartels, L. M. (2002). Beyond the Running Tally: Partisan Bias in Political Perceptions. Political Behavior, 24(2), 117-150. https://doi.org/10.1023/a:1021226224601 Bautista, J. R., Zhang, Y., & Gwizdka, J. (2022). Predicting healthcare professionals’ intention to correct health misinformation on social media. Telematics and Informatics, 73, 101864. https://doi.org/https://doi.org/10.1016/j.tele.2022.101864 Beatrice Nita Jay, M. N. P. (2018). Fake news surging in GE14 https://www.nst.com.my/news/politics/2018/05/365442/fake-news-surging-ge14 Blay, A. D., Gooden, E. S., Mellon, M. J., & Stevens, D. E. (2018). The Usefulness of Social Norm Theory in Empirical Business Ethics Research: A Review and Suggestions for Future Research. Journal of Business Ethics, 152(1), 191-206. https://doi.org/10.1007/s10551-016-3286-4 Burel, G., Farrell, T., Mensio, M., Khare, P., & Alani, H. (2020). Co-spread of Misinformation and Fact-Checking Content During the Covid-19 Pandemic. In (pp. 28-42). Springer International Publishing. https://doi.org/10.1007/978-3-030-60975-7_3 Center, M. (2021). Trust in Media Survey Age of Digitalization and Threat of Fake News & Disinformation. https://merdeka.org/trust-in-media-survey-age-of-digitalization-and-threat-of-fake-news-disinformation/ Chen, Z. F., & Cheng, Y. (2019). Consumer response to fake news about brands on social media: the effects of self-efficacy, media trust, and persuasion knowledge on brand trust. Journal of Product & Brand Management, 29(2), 188-198. https://doi.org/10.1108/jpbm-12-2018-2145 Cheng, Y., & Chen, Z. F. (2020). Encountering misinformation online: antecedents of trust and distrust and their impact on the intensity of Facebook use. Online Information Review, 45(2), 372-388. https://doi.org/10.1108/oir-04-2020-0130 Conner, M., & Armitage, C. J. (1998). Extending the Theory of Planned Behavior: A Review and Avenues for Further Research. Journal of Applied Social Psychology, 28(15), 1429-1464. https://doi.org/10.1111/j.1559-1816.1998.tb01685.x Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychology Review, 10(2), 148-167. https://doi.org/10.1080/17437199.2014.947547 Cooke, R., & French, D. P. (2008). How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis. Psychology & Health, 23(7), 745-765. https://doi.org/10.1080/08870440701544437 Daud, M., & Zulhuda, S. (2020). Regulating The Spread Of False Content Online In Malaysia: Issues, Challenges And The Way Forward. International Journal of Business and Society, 21(S1), 32-48. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=141429593&lang=zh-tw&site=ehost-live Delli Carpini, M. X. (2000). In search of the informed citizen: What Americans know about politics and why it matters. The Communication Review, 4(1), 129-164. https://doi.org/10.1080/10714420009359466 Department, S. R. (2023). Share of population in Malaysia from 2019 to 2023 by ethnicity. https://www.statista.com/statistics/1017372/malaysia-breakdown-of-population-by-ethnicity/#:~:text=Breakdown%20of%20population%20in%20Malaysia%202019%2D2023%2C%20by%20ethnicity&text=As%20of%20July%202023%2C%2070.1,are%20classified%20as%20'Other'. Dettman, S., & Pepinsky, T. B. (2023). Demographic structure and voting behaviour during democratization: evidence from Malaysia’s 2022 election. Democratization, 1-22. https://doi.org/10.1080/13510347.2023.2254707 Dhir, A., Khalil, A., Kaur, P., & Rajala, R. (2019). Rationale for “Liking” on Social Networking Sites. Social Science Computer Review, 37(4), 529-550. https://doi.org/10.1177/0894439318779145 Dias, N., & Sippitt, A. (2020). Researching Fact Checking: Present Limitations and Future Opportunities. Political Quarterly, 91(3), 605-613. https://doi.org/10.1111/1467-923x.12892 Ding, X., Zhang, X., Fan, R., Xu, Q., Hunt, K., & Zhuang, J. (2022). Rumor recognition behavior of social media users in emergencies. Journal of Management Science and Engineering, 7(1), 36-47. https://doi.org/https://doi.org/10.1016/j.jmse.2021.02.003 Djasriza Jasin, H. S. S., Simranpreet Kaur Hansaram @ Rammilah Hansaram, Chong Kim Loy. (2022). To Share Or Not: Intention To Verify News Before Sharing To Social Media. Asian Journal of Social Science Research, 4(1), 32-43. https://doi.org/https://doi.org/10.5281/zenodo.8062445 Dzulkifly, D. (2022, 20 October 2022). [UPDATED] Youth voters form 50% of GE15 electoral roll: EC https://www.thevibes.com/articles/news/74747/youth-voters-form-50-of-ge15-electoral-roll-ec Edgerly, S., Mourão, R. R., Thorson, E., & Tham, S. M. (2020). When Do Audiences Verify? How Perceptions About Message and Source Influence Audience Verification of News Headlines. Journalism & Mass Communication Quarterly, 97(1), 52-71. https://doi.org/10.1177/1077699019864680 Eveland Jr, W. P., & Scheufele, D. A. (2000). Connecting News Media Use with Gaps in Knowledge and Participation. Political Communication, 17(3), 215-237. https://doi.org/10.1080/105846000414250 Express, D. (2022). Five most popular fake news topics https://www.mcmc.gov.my/en/media/press-clippings/five-most-popular-fake-news-topics Fishbein, M. (2011). Predicting and Changing Behavior. https://doi.org/10.4324/9780203838020 Flynn, D. J., Nyhan, B., & Reifler, J. (2017). The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics. Political Psychology, 38(S1), 127-150. https://doi.org/https://doi.org/10.1111/pops.12394 George, J. F. (2002). Influences on the intent to make Internet purchases. Internet Research, 12(2), 165-180. https://doi.org/10.1108/10662240210422521 Giade, M. Y. U., Yanti Idaya Aspura, M. K., & Noorhidawati, A. (2018). Determining factors of perceived elf-efficacy in information seeking practices through Facebook. Malaysian Journal of Library & Information Science, 23(3), 35-47. https://doi.org/10.22452/mjlis.vol23no3.3 Gibbons, A., & Carson, A. (2022). What is misinformation and disinformation? Understanding multi-stakeholders’ perspectives in the Asia Pacific. Australian Journal of Political Science, 57(3), 231-247. https://doi.org/10.1080/10361146.2022.2122776 Gimpel, H., Heger, S., Olenberger, C., & Utz, L. (2021). The Effectiveness of Social Norms in Fighting Fake News on Social Media. Journal of Management Information Systems, 38(1), 196-221. https://doi.org/10.1080/07421222.2021.1870389 Goldberg, M. H., Gustafson, A., Maibach, E., Linden, S. V. D., Ballew, M. T., Bergquist, P., Kotcher, J., Marlon, J. R., Rosenthal, S. A., & Leiserowitz, A. (2020). Social norms motivate COVID-19 preventive behaviors. Center for Open Science. https://dx.doi.org/10.31234/osf.io/9whp4 Green, M. C., & Donahue, J. K. (2011). Persistence of Belief Change in the Face of Deception: The Effect of Factual Stories Revealed to Be False. Media Psychology, 14(3), 312-331. https://doi.org/10.1080/15213269.2011.598050 Greene, C. M., & Murphy, G. (2021). Quantifying the effects of fake news on behavior: Evidence from a study of COVID-19 misinformation. Journal of Experimental Psychology: Applied, 27(4), 773-784. https://doi.org/10.1037/xap0000371 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. https://doi.org/https://doi.org/10.1006/enrs.1998.3940 Griffin, R. J., Neuwirth, K., Dunwoody, S., & Giese, J. (2004). Information Sufficiency and Risk Communication. Media Psychology, 6(1), 23-61. https://doi.org/10.1207/s1532785xmep0601_2 Hocevar, K. P., Flanagin, A. J., & Metzger, M. J. (2014). Social media self-efficacy and information evaluation online. Computers in Human Behavior, 39, 254-262. https://doi.org/https://doi.org/10.1016/j.chb.2014.07.020 Hogan, B., & Quan-Haase, A. (2010). Persistence and Change in Social Media. Bulletin of Science, Technology & Society, 30(5), 309-315. https://doi.org/10.1177/0270467610380012 Inan Karagul, B., Seker, M., & Aykut, C. (2021). Investigating Students’ Digital Literacy Levels during Online Education Due to COVID-19 Pandemic. Sustainability, 13(21), 11878. https://www.mdpi.com/2071-1050/13/21/11878 Ipsos. (2018). Malaysians' Susceptibility towards Fake News https://www.ipsos.com/en-my/malaysians-susceptibility-towards-fake-news Jalli, N., Jalli, N., & Idris, I. (2019, 2019). Fake News and Elections in Two Southeast Asian Nations: A Comparative Study of Malaysia General Election 2018 and Indonesia Presidential Election 2019. Kahlor, L., & Rosenthal, S. (2009). If We Seek, Do We Learn?:Predicting Knowledge of Global Warming. Science Communication, 30(3), 380-414. https://doi.org/10.1177/1075547008328798 Keith, D. A., Rodríguez, J. P., Brooks, T. M., Burgman, M. A., Barrow, E. G., Bland, L., Comer, P. J., Franklin, J., Link, J., McCarthy, M. A., Miller, R. M., Murray, N. J., Nel, J., Nicholson, E., Oliveira‐Miranda, M. A., Regan, T. J., Rodríguez‐Clark, K. M., Rouget, M., & Spalding, M. D. (2015). The IUCN Red List of Ecosystems: Motivations, Challenges, and Applications. Conservation Letters, 8(3), 214-226. https://doi.org/10.1111/conl.12167 Kemp, S. (2023). Digital 2023: Malaysia. https://datareportal.com/reports/digital-2023-malaysia Khan, M. L., & Idris, I. K. (2019). Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective. Behaviour & Information Technology, 38(12), 1194-1212. https://doi.org/10.1080/0144929X.2019.1578828 Knuutila, A., Neudert, L.-M., & Howard, P. N. (2022). Who is afraid of fake news? Modeling risk perceptions of misinformation in 142 countries. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-97 Koo, A. Z.-X., Su, M.-H., Lee, S., Ahn, S.-Y., & Rojas, H. (2021). What Motivates People to Correct Misinformation? Examining the Effects of Third-person Perceptions and Perceived Norms. Journal of Broadcasting & Electronic Media, 65(1), 111-134. https://doi.org/10.1080/08838151.2021.1903896 Lee, J., Kim, S., & Ham, C.-D. (2016). A Double-Edged Sword? Predicting Consumers’ Attitudes Toward and Sharing Intention of Native Advertising on Social Media. American Behavioral Scientist, 60(12), 1425-1441. https://doi.org/10.1177/0002764216660137 Lee, Y. Y., Gan, C. L., & Liew, T. W. (2023). Thwarting Instant Messaging Phishing Attacks: The Role of Self-Efficacy and the Mediating Effect of Attitude towards Online Sharing of Personal Information. Int J Environ Res Public Health, 20(4). https://doi.org/10.3390/ijerph20043514 Liu, S., & Liu, J. (2021). Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of Tweets. Journal of Medical Internet Research, 23(5), e28118. https://doi.org/10.2196/28118 Logan, K. (2014). Why Isn't Everyone Doing It? A Comparison of Antecedents to Following Brands on Twitter and Facebook. Journal of Interactive Advertising, 14(2), 60-72. https://doi.org/10.1080/15252019.2014.935536 Lu, J., & Xiao, Y. (2023). Do Socioeconomic Disparities Matter? Unraveling the Impacts of Online Vaccine Misinformation on Vaccination Intention During the COVID-19 Pandemic in China. Journal of Health Communication, 28(2), 91-101. https://doi.org/10.1080/10810730.2023.2185320 Lyons, B. A., Montgomery, J. M., Guess, A. M., Nyhan, B., & Reifler, J. (2021). Overconfidence in news judgments is associated with false news susceptibility. Proceedings of the National Academy of Sciences, 118(23), e2019527118. https://doi.org/10.1073/pnas.2019527118 Elections Act 1958, (1958). https://www.parlimen.gov.my/images/webuser/jkuasa/memorandom/BERSIH%202.0/Elections%20Act%201958.pdf General Information, (2019). https://www.parlimen.gov.my/yda-maklumat-umum.html?uweb=yg&lang=en Maurer, C., & Wiegmann, R. (2011). Effectiveness of Advertising on Social Network Sites: A Case Study on Facebook. In (pp. 485-498). Springer Vienna. https://doi.org/10.1007/978-3-7091-0503-0_39 Mohd Yatid, M. (2019). Truth Tampering Through Social Media: Malaysia’s Approach in Fighting Disinformation & Misinformation. IKAT : The Indonesian Journal of Southeast Asian Studies, 2(2), 203. https://doi.org/10.22146/ikat.v2i2.40482 Moten, A. R. (2023). Research Note: The 15th General Elections in Malaysia Party Polarization, Shifting Coalitions and the Hung Parliament. Contemporary Southeast Asia, 45(1), 111-127. https://www.jstor.org/stable/27211196 Mujani, S., & Kuipers, N. (2020). Who Believed Misinformation during the 2019 Indonesian Election? Asian Survey, 60(6), 1029-1043. https://doi.org/10.1525/as.2020.60.6.1029 Mustapha, R., Azman, N., Karim, F., Ahmad, A. R., & Lubis, M. A. (2009). Social integration among multi-ethnic students at selected Malaysian universities in Peninsular Malaysia: a survey of campus climate. ASEAN Journal of teaching and Learning in Higher Education, 1(1), 35-44. Nor, N. H. M. (2022). Challenges of Malaysian Journalists in reporting and misinformation on Covid-19 (2021 - 2022). SEARCH Journal of Media and Communication Research, 14(3), 105-116. https://fslmjournals.taylors.edu.my/wp-content/uploads/SEARCH/SEARCH-2022-14-3/SEARCH-2022-P7-14-3.pdf Nyhan, B., & Reifler, J. (2010). When Corrections Fail: The Persistence of Political Misperceptions. Political Behavior, 32(2), 303-330. https://doi.org/10.1007/s11109-010-9112-2 Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014). Effective messages in vaccine promotion: a randomized trial. Pediatrics, 133(4), e835-842. https://doi.org/10.1542/peds.2013-2365 Oktavianus, J., & Bautista, J. R. (2023). Motivating healthcare professionals to correct online health misinformation: The roles of subjective norm, third-person perception, and channel differences. Computers in Human Behavior, 147, 107839. https://doi.org/https://doi.org/10.1016/j.chb.2023.107839 Omar, B. (2023). Countering Fake News on WhatsApp in Malaysia: Current Practices, Future Initiatives and Challenges Ahead. In (pp. 249-261). Springer Netherlands. https://doi.org/10.1007/978-94-024-2225-2_13 Öncül, G. (2021). Defining the need: digital literacy skills for first-year university students. Journal of Applied Research in Higher Education, 13(4), 925-943. https://doi.org/10.1108/jarhe-06-2020-0179 Paciello, M., Corbelli, G., & D’Errico, F. (2023). The role of self-efficacy beliefs in dealing with misinformation among adolescents [Brief Research Report]. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1155280 Pepinsky, T. B. (2017). Regions of Exception. Perspectives on Politics, 15(4), 1034-1052. https://doi.org/10.1017/S1537592717002146 Price, V., & Zaller, J. (1993). Who Gets The News? Alternative Measures Of News Reception And Their Implications For Research. Public Opinion Quarterly, 57(2), 133-164. https://doi.org/10.1086/269363 Pundir, V., Devi, E. B., & Nath, V. (2021). Arresting fake news sharing on social media: a theory of planned behavior approach. Management Research Review, 44(8), 1108-1138. https://doi.org/10.1108/mrr-05-2020-0286 Ridzuan, A. R., Bolong, J., Omar, S. Z., Osman, M. N., Yusof, R., & Abdullah, S. F. M. (2012). Social Media Contribution Towards Ethnocentrism. Procedia - Social and Behavioral Sciences, 65, 517-522. https://doi.org/https://doi.org/10.1016/j.sbspro.2012.11.158 Sangalang, A., Ophir, Y., & Cappella, J. N. (2019). The Potential for Narrative Correctives to Combat Misinformation†. Journal of Communication, 69(3), 298-319. https://doi.org/10.1093/joc/jqz014 Schuldt, L. (2021). Official Truths in a War on Fake News: Governmental Fact-Checking in Malaysia, Singapore, and Thailand. Journal of Current Southeast Asian Affairs, 40(2), 340-371. https://doi.org/10.1177/18681034211008908 Schwarzer, R., Schüz, B., Ziegelmann, J. P., Lippke, S., Luszczynska, A., & Scholz, U. (2007). Adoption and maintenance of four health behaviors: Theory-guided longitudinal studies on dental flossing, seat belt use, dietary behavior, and physical activity. Annals of Behavioral Medicine, 33(2), 156-166. https://doi.org/10.1007/bf02879897 Shih, Y. Y., & Fang, K. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research, 14(3), 213-223. https://doi.org/10.1108/10662240410542643 Slovic, P. (1987). Perception of Risk. Science, 236(4799), 280-285. https://doi.org/doi:10.1126/science.3563507 Stanley, M., Roycroft, J., Amaya, A., Dever, J. A., & Srivastav, A. (2020). The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey. Field methods, 32(2), 159-179. https://doi.org/10.1177/1525822x20901802 Star, T. (2023). 6 States Elections Overview. The Star. https://election.thestar.com.my/ 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 Tan, A. S. L., Lee, C.-J., & Chae, J. (2015). Exposure to Health (Mis)Information: Lagged Effects on Young Adults' Health Behaviors and Potential Pathways. Journal of Communication, 65(4), 674-698. https://doi.org/10.1111/jcom.12163 Tandoc, E. C., Lim, D., & Ling, R. (2020). Diffusion of disinformation: How social media users respond to fake news and why. Journalism, 21(3), 381-398. https://doi.org/10.1177/1464884919868325 Thompson-Leduc, P., Clayman, M. L., Turcotte, S., & Légaré, F. (2015). Shared decision-making behaviours in health professionals: a systematic review of studies based on the Theory of Planned Behaviour. Health Expectations, 18(5), 754-774. https://doi.org/https://doi.org/10.1111/hex.12176 Thorson, E. (2016). Belief Echoes: The Persistent Effects of Corrected Misinformation. Political Communication, 33(3), 460-480. https://doi.org/10.1080/10584609.2015.1102187 Ting, S.-H. (2017). Language choices of CEOs of Chinese family business in Sarawak, Malaysia. Journal of Multilingual and Multicultural Development, 38(4), 360-371. https://doi.org/10.1080/01434632.2016.1207181 Umbach, P. D. (2004). Web surveys: Best practices. New Directions for Institutional Research, 2004(121), 23-38. https://doi.org/10.1002/ir.98 UNDI18. (2024). How Undi18 went from a “crazy” idea to spearheading youth democratic empowerment in Malaysia. https://undi18.org/history/ Valdez, D., Soto-Vásquez, A. D., & Montenegro, M. S. (2023). Geospatial vaccine misinformation risk on social media: Online insights from an English/Spanish natural language processing (NLP) analysis of vaccine-related tweets. Social Science & Medicine, 339, 116365. https://doi.org/https://doi.org/10.1016/j.socscimed.2023.116365 Vaughan, E., & Nordenstam, B. (1991). The Perception of Environmental Risks among Ethnically Diverse Groups. Journal of Cross-Cultural Psychology, 22(1), 29-60. https://doi.org/10.1177/0022022191221005 Vegetti, F., & Mancosu, M. (2020). The Impact of Political Sophistication and Motivated Reasoning on Misinformation. Political Communication, 37(5), 678-695. https://doi.org/10.1080/10584609.2020.1744778 Vinhas, O., & Bastos, M. (2022). Fact-Checking Misinformation: Eight Notes on Consensus Reality. Journalism Studies, 23(4), 448-468. https://doi.org/10.1080/1461670X.2022.2031259 Voelker, M. (2021). Digital Literacy in Education Systems Across Asean. UNICEF. https://www.unicef.org/eap/media/7766/file/Digital%20Literacy%20in%20Education%20Systems%20Across%20ASEAN%20Cover.pdf Wannes Heirman, M. W. (2012). Predicting adolescent perpetration in cyberbullying: An application of the theory of planned behavior. Psicothema, 24, 614-620. https://www.psicothema.com/pdf/4062.pdf Welsh, B. (2023). Power of class in GE15: Looking Beyond Ethnicity Part 4. Bridget Welsh. https://bridgetwelsh.com/articles/power-of-class-in-ge15-looking-beyond-ethnicity-part-4/ Xu, S., Coman, I. A., Yamamoto, M., & Najera, C. J. (2023). Exposure Effects or Confirmation Bias? Examining Reciprocal Dynamics of Misinformation, Misperceptions, and Attitudes Toward COVID-19 Vaccines. Health Communication, 38(10), 2210-2220. https://doi.org/10.1080/10410236.2022.2059802 Yeo, E. (2023). MCMC acts to curb fake news. the Sun Daily. https://thesun.my/local_news/mcmc-acts-to-curb-fake-news-OL11389601 Yu, W., & Shen, F. (2021). Does fact-checking habit promote COVID-19 knowledge during the pandemic? Evidence from China. Public Health, 196, 85-90. https://doi.org/https://doi.org/10.1016/j.puhe.2021.05.005 Yussof, I., Ab Muin, N. F. i., Mohd, M., Hatah, E., Mohd Tahir, N. A., & Mohamed Shah, N. (2023). Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages. DIGITAL HEALTH, 9, 20552076231205742. https://doi.org/10.1177/20552076231205742 Zarski, A.-C., Berking, M., Reis, D., Lehr, D., Buntrock, C., Schwarzer, R., & Ebert, D. D. (2018). Turning Good Intentions Into Actions by Using the Health Action Process Approach to Predict Adherence to Internet-Based Depression Prevention: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research, 20(1), e9. https://doi.org/10.2196/jmir.8814 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, 25-36. https://doi.org/https://doi.org/10.1016/j.chb.2015.11.054 描述 碩士
國立政治大學
國際傳播英語碩士學位學程(IMICS)
111461033資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111461033 資料類型 thesis dc.contributor.advisor 施琮仁 zh_TW dc.contributor.advisor Shih, Tsung-Jen en_US dc.contributor.author (Authors) 邱潓珊 zh_TW dc.contributor.author (Authors) Hiew, Hui-San en_US dc.creator (作者) 邱潓珊 zh_TW dc.creator (作者) Hiew, Hui-San en_US dc.date (日期) 2024 en_US dc.date.accessioned 1-Jul-2024 12:27:36 (UTC+8) - dc.date.available 1-Jul-2024 12:27:36 (UTC+8) - dc.date.issued (上傳時間) 1-Jul-2024 12:27:36 (UTC+8) - dc.identifier (Other Identifiers) G0111461033 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/152027 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 國際傳播英語碩士學位學程(IMICS) zh_TW dc.description (描述) 111461033 zh_TW dc.description.abstract (摘要) 本研究探討馬來西亞人在選舉期間如何看待和應對錯誤資訊,主要關注其事實查核的 動機。基於計劃行為理論(TPB),我們探討社會壓力(主觀規範)和信息評估的自 信(自我效能)對事實查核意圖的影響。選舉期間在線信息的激增挑戰選民分辨真偽 的能力。本研究通過探討在東南亞多元文化國家馬來西亞的背景下對錯誤資訊的反應, 填補了這一關鍵空白。 本研究通過線上問卷調查了 431 名馬來西亞參與者,測量他們對錯誤資訊的接觸程度、 主觀規範、自我效能和事實查核意圖。研究發現,接觸錯誤資訊與事實查核意圖之間 存在正相關,這表明馬來西亞人意識到這一問題並在遇到錯誤資訊時有動機驗證信息。 此外,根據 TPB 框架,研究發現主觀規範和自我效能是影響事實查核意圖的重要因素。 值得注意的是,華人在主觀規範和自我效能之間的關係上具有調節作用。 本研究有助於理解多元文化社會如馬來西亞的事實查核行為。它揭示了選舉期間社會 壓力、自我效能和事實查核之間的相互作用。這些知識可用於制定應對錯誤資訊的策 略,通過解決社會規範和增強公眾對信息來源評估的信心來對抗錯誤資訊。此外,本 研究對於探索自我效能作為主觀規範和事實查核意圖之間的中介作用也為 TPB 文獻提 供了寶貴的貢獻。本研究為進一步探索奠定了基礎。未來的研究可以調查馬來西亞人 遇到的錯誤資訊及其首選的事實查核方法。同時,研究信息素養教育和旨在增強信息 評估自我效能的干預措施的作用也可能是有意義的。 zh_TW dc.description.abstract (摘要) This study investigates how Malaysians perceive and respond to misinformation during elections, primarily focusing on their motivations to fact-check. Grounded in the Theory of Planned Behavior (TPB), we explore the influence of social pressure (subjective norms) and confidence in information evaluation (self-efficacy) on fact-checking intentions. The proliferation of online information, particularly during elections, challenges voters to discern truth from falsehood. This study addresses this critical gap by examining responses to misinformation in the under-researched context of Malaysia, a multicultural Southeast Asian nation. An online survey was conducted among 431 Malaysian participants, measuring exposure to misinformation, subjective norms, self-efficacy, and fact-checking intentions. The research revealed a positive correlation between exposure to misinformation and the intention to fact-check, suggesting that Malaysians are aware of the issue and motivated to verify information when encountering misinformation. Additionally, the study identified subjective norms and self-efficacy as significant factors influencing fact-checking intentions according to the TPB framework. Notably, Chinese ethnicity moderates the relationship between subjective norms and self-efficacy. This research contributes to understanding fact-checking behaviour in multicultural societies like Malaysia. It sheds light on the interplay between social pressure, self-efficacy, and fact-checking during elections. This knowledge can inform strategies to combat misinformation by addressing social norms and building public confidence in evaluating information sources. Furthermore, the study's exploration of self-efficacy as a mediator between subjective norms and fact-checking intention offers a valuable contribution to the TPB literature. This research lays the groundwork for further exploration. Future studies could examine the misinformation Malaysians encounter and their preferred fact-checking methods. Additionally, it could be insightful to investigate the role of media literacy education and interventions designed to enhance self-efficacy in information evaluation. en_US dc.description.tableofcontents Acknowledgement 3 Abstract 4 摘要 6 Table Of Contents 7 List Of Tables And Figures 10 Chapter 1 Introduction 11 Chapter 2 Literature Review 16 2.1 General Election 15th In Malaysia 16 2.2 Fake News In Malaysia 19 2.3 Theory Of Planned Behaviour (TPB) 22 2.3.1 Attitude Toward Behaviour 23 2.3.2 Misinformation Familiarity And Attitudes 24 2.3.3 Subjective Norms 26 2.3.4 Exposure And Subjective Norms 26 2.3.5 Self-Efficacy 27 2.3.6 Exposure And Efficacy 28 2.3.7 Role Of Ethnicity 29 2.4 Proposed Framework 32 Chapter 3 Methodology 33 3.1 Sampling Design 33 3.2 Questionnaire Design 34 3.3 Sample Recruitment 35 3.4 Instruments And Measures 36 3.4.1 Misinformation Familiarity 36 3.4.2 Attitude Toward The Fact-Checking 37 3.4.3 Subjective Norm 37 3.4.4 Self-Efficacy 38 3.4.5 Intention To Fact-Checking 38 3.4.6 Demographic 39 3.5 Pilot Test 39 Chapter 4 Results 41 4.1 Data Analysis 41 4.2 Respondent’s Characteristics 42 4.3 Bivariate Correlation Analysis 43 4.4 Association Between Misinformation Familiarity And Intention To Fact-Checking (H1) 44 4.5 Association Of Tpb Constructs To Fact-Check After Being Exposed To Misinformation (H2-H4) 44 4.6 Ethnicity Constructs As A Moderator (RQ1) 45 Chapter 5 Discussion 50 5.1 Limitations And Future Research 56 5.2 Theoretical And Practical Implications 57 Chapter 6 Conclusion 59 Reference 61 Appendix 77 Appendix A - Questionnaire 77 zh_TW dc.format.extent 1023383 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111461033 en_US dc.subject (關鍵詞) 錯誤資訊 zh_TW dc.subject (關鍵詞) 馬來西亞 zh_TW dc.subject (關鍵詞) 大選 zh_TW dc.subject (關鍵詞) 事實查核 zh_TW dc.subject (關鍵詞) 計劃行為理論 zh_TW dc.subject (關鍵詞) Misinformation en_US dc.subject (關鍵詞) Malaysia en_US dc.subject (關鍵詞) general election en_US dc.subject (關鍵詞) fact-checking en_US dc.subject (關鍵詞) theory of planned behavior en_US dc.title (題名) 探討馬來西亞人在第 15 屆大選(PRU15)期間的事實核查行為 zh_TW dc.title (題名) Are Malaysians fact-checking? Exploring Malaysians’ Fact-checking Behaviour during the General Election 15 (PRU15) en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/https://doi.org/10.1016/0749-5978(91)90020-T Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314-324. https://doi.org/https://doi.org/10.1002/hbe2.195 Albury, N. J. (2019). Between public perception and government intent in national language policy. Current Issues in Language Planning, 20(2), 160-178. https://doi.org/10.1080/14664208.2018.1468963 Allcott, H., & Gentzkow, M. (2017). Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives, 31(2), 211-236. https://doi.org/10.1257/jep.31.2.211 Ananthalakshmi, A. (2018). Ahead of Malaysian polls, bots flood Twitter with pro-government messages https://www.reuters.com/article/us-malaysia-election-socialmedia/ahead-of-malaysian-polls-bots-flood-twitter-with-pro-government-messages-idUSKBN1HR2AQ/ Apandi, L. S. A. (2021, 2021). An Examination Of Sebenarnya.My As A Fact-Checker. Ariff, A. H. M., Bidin, Z., Sharif, Z., & Ahmad, A. (2010). PREDICTING ENTREPRENEURSHIP INTENTION AMONG MALAY UNIVERSITY ACCOUNTING STUDENTS IN MALAYSIA. Awang-Hashim, R., O'Neil Jr, H. F., & Hocevar, D. (2002). Ethnicity, Effort, Self-Efficacy, Worry, and Statistics Achievement in Malaysia: A Construct Validation of the State-Trait Motivation Model. Educational Assessment, 8(4), 341-364. https://doi.org/10.1207/S15326977EA0804_3 Badrinathan, S., & Chauchard, S. (2024). Researching and countering misinformation in the Global South. Current Opinion in Psychology, 55, 101733. https://doi.org/https://doi.org/10.1016/j.copsyc.2023.101733 Baeker Bispo, J., Douyon, A., Ashad-Bishop, K., Balise, R., & Kobetz, E. (2023). How Trust in Cancer Information Has Changed in the Era of COVID-19: Patterns by Race and Ethnicity. Journal of Health Communication, 28(3), 131-143. https://doi.org/10.1080/10810730.2022.2117439 Baines, A., Seo, H., Ittefaq, M., Shayesteh, F., Kamanga, U., & Liu, Y. (2023). Race/ethnicity, online information and COVID-19 vaccination: Study of minority immigrants’ internet use for health-related information. Convergence, 29(2), 268-287. https://doi.org/10.1177/13548565221116075 Balakrishnan, V. (2022). COVID-19 and fake news dissemination among Malaysians – Motives and its sociodemographic correlates. International Journal of Disaster Risk Reduction, 73, 102900. https://doi.org/https://doi.org/10.1016/j.ijdrr.2022.102900 Balakrishnan, V., Ng, K. S., & Rahim, H. A. (2021). To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia. Technology in Society, 66, 101676. https://doi.org/https://doi.org/10.1016/j.techsoc.2021.101676 Balakrishnan, V., & Norman, A.-A. (2020). Psychological motives of cyberbullying among Malaysian young adults. Asia Pacific Journal of Social Work and Development, 30(3), 181-194. https://doi.org/10.1080/02185385.2020.1772101 Bamberg, S., & Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Environmental Psychology, 27(1), 14-25. https://doi.org/https://doi.org/10.1016/j.jenvp.2006.12.002 Bandura, A., Caprara, G. V., Barbaranelli, C., Gerbino, M., & Pastorelli, C. (2003). Role of affective self-regulatory efficacy in diverse spheres of psychosocial functioning. Child Dev, 74(3), 769-782. https://doi.org/10.1111/1467-8624.00567 Bartels, L. M. (2002). Beyond the Running Tally: Partisan Bias in Political Perceptions. Political Behavior, 24(2), 117-150. https://doi.org/10.1023/a:1021226224601 Bautista, J. R., Zhang, Y., & Gwizdka, J. (2022). Predicting healthcare professionals’ intention to correct health misinformation on social media. Telematics and Informatics, 73, 101864. https://doi.org/https://doi.org/10.1016/j.tele.2022.101864 Beatrice Nita Jay, M. N. P. (2018). Fake news surging in GE14 https://www.nst.com.my/news/politics/2018/05/365442/fake-news-surging-ge14 Blay, A. D., Gooden, E. S., Mellon, M. J., & Stevens, D. E. (2018). The Usefulness of Social Norm Theory in Empirical Business Ethics Research: A Review and Suggestions for Future Research. Journal of Business Ethics, 152(1), 191-206. https://doi.org/10.1007/s10551-016-3286-4 Burel, G., Farrell, T., Mensio, M., Khare, P., & Alani, H. (2020). Co-spread of Misinformation and Fact-Checking Content During the Covid-19 Pandemic. In (pp. 28-42). Springer International Publishing. https://doi.org/10.1007/978-3-030-60975-7_3 Center, M. (2021). Trust in Media Survey Age of Digitalization and Threat of Fake News & Disinformation. https://merdeka.org/trust-in-media-survey-age-of-digitalization-and-threat-of-fake-news-disinformation/ Chen, Z. F., & Cheng, Y. (2019). Consumer response to fake news about brands on social media: the effects of self-efficacy, media trust, and persuasion knowledge on brand trust. Journal of Product & Brand Management, 29(2), 188-198. https://doi.org/10.1108/jpbm-12-2018-2145 Cheng, Y., & Chen, Z. F. (2020). Encountering misinformation online: antecedents of trust and distrust and their impact on the intensity of Facebook use. Online Information Review, 45(2), 372-388. https://doi.org/10.1108/oir-04-2020-0130 Conner, M., & Armitage, C. J. (1998). Extending the Theory of Planned Behavior: A Review and Avenues for Further Research. Journal of Applied Social Psychology, 28(15), 1429-1464. https://doi.org/10.1111/j.1559-1816.1998.tb01685.x Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychology Review, 10(2), 148-167. https://doi.org/10.1080/17437199.2014.947547 Cooke, R., & French, D. P. (2008). How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis. Psychology & Health, 23(7), 745-765. https://doi.org/10.1080/08870440701544437 Daud, M., & Zulhuda, S. (2020). Regulating The Spread Of False Content Online In Malaysia: Issues, Challenges And The Way Forward. International Journal of Business and Society, 21(S1), 32-48. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=141429593&lang=zh-tw&site=ehost-live Delli Carpini, M. X. (2000). In search of the informed citizen: What Americans know about politics and why it matters. The Communication Review, 4(1), 129-164. https://doi.org/10.1080/10714420009359466 Department, S. R. (2023). Share of population in Malaysia from 2019 to 2023 by ethnicity. https://www.statista.com/statistics/1017372/malaysia-breakdown-of-population-by-ethnicity/#:~:text=Breakdown%20of%20population%20in%20Malaysia%202019%2D2023%2C%20by%20ethnicity&text=As%20of%20July%202023%2C%2070.1,are%20classified%20as%20'Other'. Dettman, S., & Pepinsky, T. B. (2023). Demographic structure and voting behaviour during democratization: evidence from Malaysia’s 2022 election. Democratization, 1-22. https://doi.org/10.1080/13510347.2023.2254707 Dhir, A., Khalil, A., Kaur, P., & Rajala, R. (2019). Rationale for “Liking” on Social Networking Sites. Social Science Computer Review, 37(4), 529-550. https://doi.org/10.1177/0894439318779145 Dias, N., & Sippitt, A. (2020). Researching Fact Checking: Present Limitations and Future Opportunities. Political Quarterly, 91(3), 605-613. https://doi.org/10.1111/1467-923x.12892 Ding, X., Zhang, X., Fan, R., Xu, Q., Hunt, K., & Zhuang, J. (2022). Rumor recognition behavior of social media users in emergencies. Journal of Management Science and Engineering, 7(1), 36-47. https://doi.org/https://doi.org/10.1016/j.jmse.2021.02.003 Djasriza Jasin, H. S. S., Simranpreet Kaur Hansaram @ Rammilah Hansaram, Chong Kim Loy. (2022). To Share Or Not: Intention To Verify News Before Sharing To Social Media. Asian Journal of Social Science Research, 4(1), 32-43. https://doi.org/https://doi.org/10.5281/zenodo.8062445 Dzulkifly, D. (2022, 20 October 2022). [UPDATED] Youth voters form 50% of GE15 electoral roll: EC https://www.thevibes.com/articles/news/74747/youth-voters-form-50-of-ge15-electoral-roll-ec Edgerly, S., Mourão, R. R., Thorson, E., & Tham, S. M. (2020). When Do Audiences Verify? How Perceptions About Message and Source Influence Audience Verification of News Headlines. Journalism & Mass Communication Quarterly, 97(1), 52-71. https://doi.org/10.1177/1077699019864680 Eveland Jr, W. P., & Scheufele, D. A. (2000). Connecting News Media Use with Gaps in Knowledge and Participation. Political Communication, 17(3), 215-237. https://doi.org/10.1080/105846000414250 Express, D. (2022). Five most popular fake news topics https://www.mcmc.gov.my/en/media/press-clippings/five-most-popular-fake-news-topics Fishbein, M. (2011). Predicting and Changing Behavior. https://doi.org/10.4324/9780203838020 Flynn, D. J., Nyhan, B., & Reifler, J. (2017). The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics. Political Psychology, 38(S1), 127-150. https://doi.org/https://doi.org/10.1111/pops.12394 George, J. F. (2002). Influences on the intent to make Internet purchases. Internet Research, 12(2), 165-180. https://doi.org/10.1108/10662240210422521 Giade, M. Y. U., Yanti Idaya Aspura, M. K., & Noorhidawati, A. (2018). Determining factors of perceived elf-efficacy in information seeking practices through Facebook. Malaysian Journal of Library & Information Science, 23(3), 35-47. https://doi.org/10.22452/mjlis.vol23no3.3 Gibbons, A., & Carson, A. (2022). What is misinformation and disinformation? Understanding multi-stakeholders’ perspectives in the Asia Pacific. Australian Journal of Political Science, 57(3), 231-247. https://doi.org/10.1080/10361146.2022.2122776 Gimpel, H., Heger, S., Olenberger, C., & Utz, L. (2021). The Effectiveness of Social Norms in Fighting Fake News on Social Media. Journal of Management Information Systems, 38(1), 196-221. https://doi.org/10.1080/07421222.2021.1870389 Goldberg, M. H., Gustafson, A., Maibach, E., Linden, S. V. D., Ballew, M. T., Bergquist, P., Kotcher, J., Marlon, J. R., Rosenthal, S. A., & Leiserowitz, A. (2020). Social norms motivate COVID-19 preventive behaviors. Center for Open Science. https://dx.doi.org/10.31234/osf.io/9whp4 Green, M. C., & Donahue, J. K. (2011). Persistence of Belief Change in the Face of Deception: The Effect of Factual Stories Revealed to Be False. Media Psychology, 14(3), 312-331. https://doi.org/10.1080/15213269.2011.598050 Greene, C. M., & Murphy, G. (2021). Quantifying the effects of fake news on behavior: Evidence from a study of COVID-19 misinformation. Journal of Experimental Psychology: Applied, 27(4), 773-784. https://doi.org/10.1037/xap0000371 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. https://doi.org/https://doi.org/10.1006/enrs.1998.3940 Griffin, R. J., Neuwirth, K., Dunwoody, S., & Giese, J. (2004). Information Sufficiency and Risk Communication. Media Psychology, 6(1), 23-61. https://doi.org/10.1207/s1532785xmep0601_2 Hocevar, K. P., Flanagin, A. J., & Metzger, M. J. (2014). Social media self-efficacy and information evaluation online. Computers in Human Behavior, 39, 254-262. https://doi.org/https://doi.org/10.1016/j.chb.2014.07.020 Hogan, B., & Quan-Haase, A. (2010). Persistence and Change in Social Media. Bulletin of Science, Technology & Society, 30(5), 309-315. https://doi.org/10.1177/0270467610380012 Inan Karagul, B., Seker, M., & Aykut, C. (2021). Investigating Students’ Digital Literacy Levels during Online Education Due to COVID-19 Pandemic. Sustainability, 13(21), 11878. https://www.mdpi.com/2071-1050/13/21/11878 Ipsos. (2018). Malaysians' Susceptibility towards Fake News https://www.ipsos.com/en-my/malaysians-susceptibility-towards-fake-news Jalli, N., Jalli, N., & Idris, I. (2019, 2019). Fake News and Elections in Two Southeast Asian Nations: A Comparative Study of Malaysia General Election 2018 and Indonesia Presidential Election 2019. Kahlor, L., & Rosenthal, S. (2009). If We Seek, Do We Learn?:Predicting Knowledge of Global Warming. Science Communication, 30(3), 380-414. https://doi.org/10.1177/1075547008328798 Keith, D. A., Rodríguez, J. P., Brooks, T. M., Burgman, M. A., Barrow, E. G., Bland, L., Comer, P. J., Franklin, J., Link, J., McCarthy, M. A., Miller, R. M., Murray, N. J., Nel, J., Nicholson, E., Oliveira‐Miranda, M. A., Regan, T. J., Rodríguez‐Clark, K. M., Rouget, M., & Spalding, M. D. (2015). The IUCN Red List of Ecosystems: Motivations, Challenges, and Applications. Conservation Letters, 8(3), 214-226. https://doi.org/10.1111/conl.12167 Kemp, S. (2023). Digital 2023: Malaysia. https://datareportal.com/reports/digital-2023-malaysia Khan, M. L., & Idris, I. K. (2019). Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective. Behaviour & Information Technology, 38(12), 1194-1212. https://doi.org/10.1080/0144929X.2019.1578828 Knuutila, A., Neudert, L.-M., & Howard, P. N. (2022). Who is afraid of fake news? Modeling risk perceptions of misinformation in 142 countries. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-97 Koo, A. Z.-X., Su, M.-H., Lee, S., Ahn, S.-Y., & Rojas, H. (2021). What Motivates People to Correct Misinformation? Examining the Effects of Third-person Perceptions and Perceived Norms. Journal of Broadcasting & Electronic Media, 65(1), 111-134. https://doi.org/10.1080/08838151.2021.1903896 Lee, J., Kim, S., & Ham, C.-D. (2016). A Double-Edged Sword? Predicting Consumers’ Attitudes Toward and Sharing Intention of Native Advertising on Social Media. American Behavioral Scientist, 60(12), 1425-1441. https://doi.org/10.1177/0002764216660137 Lee, Y. Y., Gan, C. L., & Liew, T. W. (2023). Thwarting Instant Messaging Phishing Attacks: The Role of Self-Efficacy and the Mediating Effect of Attitude towards Online Sharing of Personal Information. Int J Environ Res Public Health, 20(4). https://doi.org/10.3390/ijerph20043514 Liu, S., & Liu, J. (2021). Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of Tweets. Journal of Medical Internet Research, 23(5), e28118. https://doi.org/10.2196/28118 Logan, K. (2014). Why Isn't Everyone Doing It? A Comparison of Antecedents to Following Brands on Twitter and Facebook. Journal of Interactive Advertising, 14(2), 60-72. https://doi.org/10.1080/15252019.2014.935536 Lu, J., & Xiao, Y. (2023). Do Socioeconomic Disparities Matter? Unraveling the Impacts of Online Vaccine Misinformation on Vaccination Intention During the COVID-19 Pandemic in China. Journal of Health Communication, 28(2), 91-101. https://doi.org/10.1080/10810730.2023.2185320 Lyons, B. A., Montgomery, J. M., Guess, A. M., Nyhan, B., & Reifler, J. (2021). Overconfidence in news judgments is associated with false news susceptibility. Proceedings of the National Academy of Sciences, 118(23), e2019527118. https://doi.org/10.1073/pnas.2019527118 Elections Act 1958, (1958). https://www.parlimen.gov.my/images/webuser/jkuasa/memorandom/BERSIH%202.0/Elections%20Act%201958.pdf General Information, (2019). https://www.parlimen.gov.my/yda-maklumat-umum.html?uweb=yg&lang=en Maurer, C., & Wiegmann, R. (2011). Effectiveness of Advertising on Social Network Sites: A Case Study on Facebook. In (pp. 485-498). Springer Vienna. https://doi.org/10.1007/978-3-7091-0503-0_39 Mohd Yatid, M. (2019). Truth Tampering Through Social Media: Malaysia’s Approach in Fighting Disinformation & Misinformation. IKAT : The Indonesian Journal of Southeast Asian Studies, 2(2), 203. https://doi.org/10.22146/ikat.v2i2.40482 Moten, A. R. (2023). Research Note: The 15th General Elections in Malaysia Party Polarization, Shifting Coalitions and the Hung Parliament. Contemporary Southeast Asia, 45(1), 111-127. https://www.jstor.org/stable/27211196 Mujani, S., & Kuipers, N. (2020). Who Believed Misinformation during the 2019 Indonesian Election? Asian Survey, 60(6), 1029-1043. https://doi.org/10.1525/as.2020.60.6.1029 Mustapha, R., Azman, N., Karim, F., Ahmad, A. R., & Lubis, M. A. (2009). Social integration among multi-ethnic students at selected Malaysian universities in Peninsular Malaysia: a survey of campus climate. ASEAN Journal of teaching and Learning in Higher Education, 1(1), 35-44. Nor, N. H. M. (2022). Challenges of Malaysian Journalists in reporting and misinformation on Covid-19 (2021 - 2022). SEARCH Journal of Media and Communication Research, 14(3), 105-116. https://fslmjournals.taylors.edu.my/wp-content/uploads/SEARCH/SEARCH-2022-14-3/SEARCH-2022-P7-14-3.pdf Nyhan, B., & Reifler, J. (2010). When Corrections Fail: The Persistence of Political Misperceptions. Political Behavior, 32(2), 303-330. https://doi.org/10.1007/s11109-010-9112-2 Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014). Effective messages in vaccine promotion: a randomized trial. Pediatrics, 133(4), e835-842. https://doi.org/10.1542/peds.2013-2365 Oktavianus, J., & Bautista, J. R. (2023). Motivating healthcare professionals to correct online health misinformation: The roles of subjective norm, third-person perception, and channel differences. Computers in Human Behavior, 147, 107839. https://doi.org/https://doi.org/10.1016/j.chb.2023.107839 Omar, B. (2023). Countering Fake News on WhatsApp in Malaysia: Current Practices, Future Initiatives and Challenges Ahead. In (pp. 249-261). Springer Netherlands. https://doi.org/10.1007/978-94-024-2225-2_13 Öncül, G. (2021). Defining the need: digital literacy skills for first-year university students. Journal of Applied Research in Higher Education, 13(4), 925-943. https://doi.org/10.1108/jarhe-06-2020-0179 Paciello, M., Corbelli, G., & D’Errico, F. (2023). The role of self-efficacy beliefs in dealing with misinformation among adolescents [Brief Research Report]. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1155280 Pepinsky, T. B. (2017). Regions of Exception. Perspectives on Politics, 15(4), 1034-1052. https://doi.org/10.1017/S1537592717002146 Price, V., & Zaller, J. (1993). Who Gets The News? Alternative Measures Of News Reception And Their Implications For Research. Public Opinion Quarterly, 57(2), 133-164. https://doi.org/10.1086/269363 Pundir, V., Devi, E. B., & Nath, V. (2021). Arresting fake news sharing on social media: a theory of planned behavior approach. Management Research Review, 44(8), 1108-1138. https://doi.org/10.1108/mrr-05-2020-0286 Ridzuan, A. R., Bolong, J., Omar, S. Z., Osman, M. N., Yusof, R., & Abdullah, S. F. M. (2012). Social Media Contribution Towards Ethnocentrism. Procedia - Social and Behavioral Sciences, 65, 517-522. https://doi.org/https://doi.org/10.1016/j.sbspro.2012.11.158 Sangalang, A., Ophir, Y., & Cappella, J. N. (2019). The Potential for Narrative Correctives to Combat Misinformation†. Journal of Communication, 69(3), 298-319. https://doi.org/10.1093/joc/jqz014 Schuldt, L. (2021). Official Truths in a War on Fake News: Governmental Fact-Checking in Malaysia, Singapore, and Thailand. Journal of Current Southeast Asian Affairs, 40(2), 340-371. https://doi.org/10.1177/18681034211008908 Schwarzer, R., Schüz, B., Ziegelmann, J. P., Lippke, S., Luszczynska, A., & Scholz, U. (2007). Adoption and maintenance of four health behaviors: Theory-guided longitudinal studies on dental flossing, seat belt use, dietary behavior, and physical activity. Annals of Behavioral Medicine, 33(2), 156-166. https://doi.org/10.1007/bf02879897 Shih, Y. Y., & Fang, K. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research, 14(3), 213-223. https://doi.org/10.1108/10662240410542643 Slovic, P. (1987). Perception of Risk. Science, 236(4799), 280-285. https://doi.org/doi:10.1126/science.3563507 Stanley, M., Roycroft, J., Amaya, A., Dever, J. A., & Srivastav, A. (2020). The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey. Field methods, 32(2), 159-179. https://doi.org/10.1177/1525822x20901802 Star, T. (2023). 6 States Elections Overview. The Star. https://election.thestar.com.my/ 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 Tan, A. S. L., Lee, C.-J., & Chae, J. (2015). Exposure to Health (Mis)Information: Lagged Effects on Young Adults' Health Behaviors and Potential Pathways. Journal of Communication, 65(4), 674-698. https://doi.org/10.1111/jcom.12163 Tandoc, E. C., Lim, D., & Ling, R. (2020). Diffusion of disinformation: How social media users respond to fake news and why. Journalism, 21(3), 381-398. https://doi.org/10.1177/1464884919868325 Thompson-Leduc, P., Clayman, M. L., Turcotte, S., & Légaré, F. (2015). Shared decision-making behaviours in health professionals: a systematic review of studies based on the Theory of Planned Behaviour. Health Expectations, 18(5), 754-774. https://doi.org/https://doi.org/10.1111/hex.12176 Thorson, E. (2016). Belief Echoes: The Persistent Effects of Corrected Misinformation. Political Communication, 33(3), 460-480. https://doi.org/10.1080/10584609.2015.1102187 Ting, S.-H. (2017). Language choices of CEOs of Chinese family business in Sarawak, Malaysia. Journal of Multilingual and Multicultural Development, 38(4), 360-371. https://doi.org/10.1080/01434632.2016.1207181 Umbach, P. D. (2004). Web surveys: Best practices. New Directions for Institutional Research, 2004(121), 23-38. https://doi.org/10.1002/ir.98 UNDI18. (2024). How Undi18 went from a “crazy” idea to spearheading youth democratic empowerment in Malaysia. https://undi18.org/history/ Valdez, D., Soto-Vásquez, A. D., & Montenegro, M. S. (2023). Geospatial vaccine misinformation risk on social media: Online insights from an English/Spanish natural language processing (NLP) analysis of vaccine-related tweets. Social Science & Medicine, 339, 116365. https://doi.org/https://doi.org/10.1016/j.socscimed.2023.116365 Vaughan, E., & Nordenstam, B. (1991). The Perception of Environmental Risks among Ethnically Diverse Groups. Journal of Cross-Cultural Psychology, 22(1), 29-60. https://doi.org/10.1177/0022022191221005 Vegetti, F., & Mancosu, M. (2020). The Impact of Political Sophistication and Motivated Reasoning on Misinformation. Political Communication, 37(5), 678-695. https://doi.org/10.1080/10584609.2020.1744778 Vinhas, O., & Bastos, M. (2022). Fact-Checking Misinformation: Eight Notes on Consensus Reality. Journalism Studies, 23(4), 448-468. https://doi.org/10.1080/1461670X.2022.2031259 Voelker, M. (2021). Digital Literacy in Education Systems Across Asean. UNICEF. https://www.unicef.org/eap/media/7766/file/Digital%20Literacy%20in%20Education%20Systems%20Across%20ASEAN%20Cover.pdf Wannes Heirman, M. W. (2012). Predicting adolescent perpetration in cyberbullying: An application of the theory of planned behavior. Psicothema, 24, 614-620. https://www.psicothema.com/pdf/4062.pdf Welsh, B. (2023). Power of class in GE15: Looking Beyond Ethnicity Part 4. Bridget Welsh. https://bridgetwelsh.com/articles/power-of-class-in-ge15-looking-beyond-ethnicity-part-4/ Xu, S., Coman, I. A., Yamamoto, M., & Najera, C. J. (2023). Exposure Effects or Confirmation Bias? Examining Reciprocal Dynamics of Misinformation, Misperceptions, and Attitudes Toward COVID-19 Vaccines. Health Communication, 38(10), 2210-2220. https://doi.org/10.1080/10410236.2022.2059802 Yeo, E. (2023). MCMC acts to curb fake news. the Sun Daily. https://thesun.my/local_news/mcmc-acts-to-curb-fake-news-OL11389601 Yu, W., & Shen, F. (2021). Does fact-checking habit promote COVID-19 knowledge during the pandemic? Evidence from China. Public Health, 196, 85-90. https://doi.org/https://doi.org/10.1016/j.puhe.2021.05.005 Yussof, I., Ab Muin, N. F. i., Mohd, M., Hatah, E., Mohd Tahir, N. A., & Mohamed Shah, N. (2023). Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages. DIGITAL HEALTH, 9, 20552076231205742. https://doi.org/10.1177/20552076231205742 Zarski, A.-C., Berking, M., Reis, D., Lehr, D., Buntrock, C., Schwarzer, R., & Ebert, D. D. (2018). Turning Good Intentions Into Actions by Using the Health Action Process Approach to Predict Adherence to Internet-Based Depression Prevention: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research, 20(1), e9. https://doi.org/10.2196/jmir.8814 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, 25-36. https://doi.org/https://doi.org/10.1016/j.chb.2015.11.054 zh_TW