| 研究生: |
邱潓珊 Hiew, Hui-San |
|---|---|
| 論文名稱: |
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) |
| 指導教授: |
施琮仁
Shih, Tsung-Jen |
| 口試委員: |
韓義興
HAN, YI-HSING 蕭宏祺 Shiau, Hong-Chi |
| 學位類別: |
碩士
Master |
| 系所名稱: |
傳播學院 - 國際傳播英語碩士學位學程(IMICS) International Master's Program in International Communication Studies(IMICS) |
| 論文出版年: | 2024 |
| 畢業學年度: | 112 |
| 語文別: | 英文 |
| 論文頁數: | 82 |
| 中文關鍵詞: | 錯誤資訊 、馬來西亞 、大選 、事實查核 、計劃行為理論 |
| 外文關鍵詞: | Misinformation, Malaysia, general election, fact-checking, theory of planned behavior |
| 相關次數: | 點閱:33 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
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.
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
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
全文公開日期 2029/06/20