Examining the factors affecting the decision processes on the accuracy of information of preservice teachers in social media

Year 2022, Volume: 5 Issue: 3, 553 - 572, 30.09.2022

Kerem Kılıçer

https://doi.org/10.31681/jetol.1099059

Abstract

The purpose of this study was to examine information sharing on social media platforms (facebook, twitter, instagram, youtube, etc.) in terms of the accuracy of information. Within the scope of this study, the effect of systematic (argument quality, validity, aspect) and heuristic (expertise, popularity, trustworthiness) clues, which are thought to have an impact on the decision process of preservice teachers regarding the accuracy of information on social media platforms and the effect of the decision regarding the accuracy of the information on the attitude towards the information were investigated. The results of the study revealed that popularity and argument quality had significant influence on the decision-making and behavior development process of the students attending a teacher-training program, who were regarded as preservice teachers, by processing the information shared on social media. In addition, it was seen that there was a strong and positive relationship between the attitude towards the information shared on the social media and the perception of the accuracy of the information shared on the social media.

Keywords

Accuracy of information, Social media, Heuristic-systematic information processing model

References

• Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918.
• Akkay, B., & Kanadlı, S. (2019). Öğretmenlerin bir eğitim aracı olarak sosyal medyayı kullanmalarına ilişkin görüşleri. Journal of Advanced Education Studies, 1(2), 115-127.
• Allcott, H., Gentzkow, M., & Yu, C. (2019). Trends in the diffusion of misinformation on social media. Research and Politics April-June 2019, 1–8.
• Alkiviadou, N. (2019). Hate speech on social media networks: towards a regulatory framework?. Information & Communications Technology Law, 28(1), 19-35. https://doi.org/10.1080/13600834.2018.1494417
• Aydın, A. F. (2020). Post-truth dönemde sosyal medyada dezenformasyon: Covid-19 (yeni koronavirüs) pandemi süreci. Asya Studies-Academic Social Studies, 4(12), 76-90. https://doi.org/10.31455/asya.740420
• Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805–825.
• Bertot, J.C., Jaeger, P.T., & Grimes, J.M. (2010). Using ICTs to create a culture of transparency: E-government and social media as openness and anti-corruption tools for societies. Goverment Information Quarterly, 27(3), 264–271.
• Bode, L., & Vraga, E.K. (2015). In related news, that was wrong: The correction of misinformation through related stories functionality in social media. Journal of Communication, 65(4), 619–638. https://doi.org/10.1111/jcom.12166
• Büyüköztürk, Ş. (2002). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum. Pegem Akademi.
• Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö.E., Karadeniz, Ş., & Demirel, F. (2018). Bilimsel araştırma yöntemleri (25. Baskı). Pegem Akademi.
• Byrne, B.M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd Edition). Routledge Taylor & Francis Group.
• Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752-766.
• Chaiken, S., & Ledgerwood, A. (2012). A theory of heuristic and systematic information processing. In P.A.M. van Lange, A.W. Kruglanski, & E.T. Higgins (Eds), Handbook of Theories of Social Psychology: Volume 1 (pp. 246-266). Sage. https://www.doi.org/10.4135/9781446249215.n1
• Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 212–252). Guilford.
• Clayton, R. B., Nagurney, A., & Smith, J. R. (2013). Cheating, breakup, and divorce: Is Facebook use to blame?. Cyberpsychology, Behavior, and Social Networking, 16(10), 717-720. https://doi.org/10.1089/cyber.2012.0424
• Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik. Pegem Akademi.
• Çalışkan, M., & Duygun, A. (2021). Havacılık sektöründe pazarlama iletişimi açısından Covid-19 pandemisi sürecinde sosyal medyada içerik analizi. Journal of Gaziantep University Faculty of Economics and Administrative Sciences, 3(1), 15-29.
• Datareportal. (2021, December 23). Digital 2021: Global overview report. https://datareportal.com/reports/digital-2021-global-overview-report
• Deniz, L., & Gürültü, E. (2018). Lise öğrencilerinin sosyal medya bağımlılıkları. Kastamonu Eğitim Dergisi, 26(2), 355-367. https://doi.org/10.24106/kefdergi.389780
• Du, H.S., Ke, X., He,W., Chu, S.K.W., & Wagner, C. (2019). Achieving mobile social media popularity to enhance customer acquisition: Cases from P2P lending firms. Internet Research, 29(6), 1386-1409. https://doi.org/10.1108/INTR-01-2018-0014
• Edwards, A., & Edwards, C. (2013). Computer-mediated word-of-mouth communication: The influence of mixed reviews on student perceptions of instructors and courses. Communication Education, 62(4), 412-424.
• Erdoğan, H., & Mucan Özcan, B. (2020). Influencer pazarlaması kullanımının tüketicilerin satın alma niyetine etkisi: Instagram influencerları üzerine bir araştırma. İşletme Araştırmaları Dergisi, 12(4), 3813-3827. https://doi.org/10.20491/isarder.2020.1074
• Field, A. (2005). Discovering statistics using SPSS (Second Edition). Sage.
• Gedik, N., & Şendağ, S. (2019). Doğruluk. In H.F. Odabaşı & Ş. Ozan Leymun (Eds.), Bilişim Etiği ve Güvenliği (pp. 127-144). Nobel.
• Gonçalves, M.A., Almeida, J.M., dos Santos, L.G.P., Laender, A.H.F., & Almeida, V. (2010). On popularity in the blogosphere, IEEE Internet Computing, 14(3), 42-49. https://doi.org/10.1109/MIC.2010.73
• Gül, Ş., & Diken, E.H. (2018). Fen bilimleri öğretmen adaylarının sosyal medya bağımlılıklarının incelenmesi, Kafkas Eğitim Araştırmaları Dergisi, 5(1), 41-50. https://doi.org/10.30900/kafkasegt.386531
• Güntaş, S., & Konuk, N. (2019). Sosyal medya kullanımı eğitimi ve bir eğitim aracı olarak sosyal medya kullanımı. International Journal of Entrepreneurship and Management Inquiries, 3(4), 1-25.
• Gürbüz, S., & Şahin, F. (2016). Sosyal bilimlerde araştırma yöntemleri. Felsefe, yöntem analiz (3rd ed.). Şeçkin.
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Pearson Education Inc.
• Hannan, J. (2018). Trolling ourselves to death? Social media and post-truth politics. European Journal of Communication, 33(2), 214-226. https://doi.org/10.1177/0267323118760323
• Hu, L., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
• Jöreskog, K.G., & Sörbom D. (1988). LISREL 7: A guide to the program and applications. SPSS Inc.
• Karasu, M., & Arıkan, D. (2016). Öğretmen adaylarının sosyal medya kullanım durumları ve medya okuryazarlık düzeyleri arasındaki ilişkinin incelenmesi. Ege Eğitim Dergisi, 17(2), 549-566. https://doi.org/10.12984/egeefd.280757
• Kılıçer, K., Çoklar, A.N., & Özeke, V. (2017). Cyber human values scale (i-value): the study of development, validity and reliability, Internet Research, 27(5), 1255-1274. https://doi.org/10.1108/IntR-10-2016-0290
• Kilis, S., Rapp, C., & Gülbahar, Y. (2014). Eğitimde sosyal medya kullanımına yönelik yükseköğretim düzeyindeki eğitmenlerin algısı: Türkiye-Almanya örneklemi. Öğretim Teknolojileri ve Öğretmen Eğitimi Dergisi, 3(3), 20-28.
• Kline, R.B. (2005). Principles and practice of structural equation modeling (2nd ed.). Guilford.
• Kwok, S.H., & Gao, S. (2005) Attitude towards knowledge sharing behavior. Journal of Computer Information Systems, 46(2), 45-51. https://doi.org/10.1080/08874417.2006.11645882
• Lewandowsky, S., Ecker, U.K.H., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “Post-Truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353-369. https://doi.org/10.1016/j.jarmac.2017.07.008
• Li, R., & Suh, A. (2015). Factors influencing information credibility on social media platforms: Evidence from Facebook pages. Procedia Computer Science, 72, 314–328. https://doi.org/10.1016/j.procs.2015.12.146
• Lin, X., Spence, P.R., & Lachlan, K.A. (2016). Social media and credibility indicators: The effect of influence cues. Computers in Human Behavior, 63, 264–271. https://doi.org/10.1016/j.chb.2016.05.002
• Liu, Z., Liu, L., & Li, H. (2012). Determinants of information retweeting in microblogging. Internet Research, 22(4), 443-466. https://doi.org/10.1108/10662241211250980
• Marsh, H.W., Balla, J.R., & McDonald, R.P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103, 391–410. https://doi.org/10.1037/0033-2909.103.3.391
• Mason, R.O. (1986). Four ethical issues of information age. MIS Quarterly, 10(1), 5-11.
• McCroskey, J.C., & Teven, J.J. (1999). Goodwill: a reexamination of the construct and its measurement. Communication Monographs, 66(1), 90-103. https://doi.org/10.1080/03637759909376464
• Mollaoğlu, M., Hastaoğlu, F., Başer, E., & Mollaoğlu, S. (2019). Sağlık hizmetleri meslek yüksekokulu öğrencilerinin sosyal medya kullanım özellikleri ve tutumlarının incelenmesi. Uluslararası Bilimsel Araştırmalar Dergisi, 4(2), 157-166. https://doi.org/10.21733/ibad.528372
• Moor, J.H. (1985). What is computer ethics?. Metaphilosophy, 16(4), 266-275.
• O’Brien, R.M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673-690.
• Odabaşı, H.F., Kabakçı, I., & Çoklar, A.N. (2007). İnternet, çocuk ve aile. Nobel.
• OECD (2021, December 23), Internet access (indicator). https://doi.org/10.1787/69c2b997-en
• Rowlands, I., Nicholas, D., Russell, B., Canty, N., & Watkinson. A. (2011). Social media use in the research workflow. Learned Publishing, 24(3), 183-195. https://doi.org/10.1087/20110306
• Sawyer, M.E. (2018) Post-truth, social media, and the “Real” as phantasm. In Stenmark M., Fuller S., & Zackariasson U. (Eds), Relativism and Post-Truth in Contemporary Society (pp. 55-69). Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-96559-8_4
• Sismondo, S. (2017). Post-truth?. Social Studies of Science, 47(1), 3-6. https://doi.org/10.1177/0306312717692076
• Tabachnick, B.G., & Fidell, L.S. (2013). Using multivariate statistics (6th ed.). Pearson.
• Talvar, B. (2009). Comparative study of core values of excellence models vis‐à‐vis human values. Measuring Business Excellence, 13(4), 34-46. https://doi.org/10.1108/13683040911006774
• Tavazoee, F., Conversano, C., & Mola, F. (2020). Recurrent random forest for the assessment of popularity in social media. Knowledge and Information Systems, 62, 1847-1879. https://doi.org/10.1007/s10115-019-01410-w
• Trumbo, C.W. (1999). Heuristic-systematic information processing and risk judgment. Risk Analysis, 19, 391-400. https://doi.org/10.1023/A:1007092410720
• Vessels, G., & Huitt, W. (2018). Moral and character development. In W. Huitt (Ed.), Becoming a Brilliant Star: Twelve Core Ideas Supporting Holistic Education (pp. 179-213). IngramSpark. http://www.edpsycinteractive.org/papers/2018-10-vessels-huittbrilliant-star-moral-character.pdf
• Wright, K.B., & Scholl, J.C. (1999). Heuristic‐systematic processing in the classroom, Communication Research Reports, 16(2), 203-212. https://doi.org/10.1080/08824099909388718
• Xiao, M., Wang, R., & Chan-Olmsted, S. (2018). Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model. Journal of Media Business Studies, 15(3), 188-213. https://doi.org/10.1080/16522354.2018.1501146
• Yaylak, E., & İnan, S. (2018). Sosyal bilgiler öğretmenlerinin eğitimde sosyal medyanın kullanılmasına yönelik görüşlerinin incelenmesi. Türkiye Bilimsel Araştırmalar Dergisi, 3(1), 1-32.
• Yılmaz, E. (2021, May 31-June 2). Covid 19 salgınında aşırı bilgi yükü duygusal buluşma ve infodemi [Conference presentation]. International Cappadocia Congress of Epidemic Times, Nevşehir, Turkey.
• Zhang, K.Z.K., Zhao, S.J., Cheung, C.M.K., & Lee, M.K.O. (2014). Examining the influence of online reviews on consumers' decision-making: A heuristic–systematic model. Decision Support Systems, 67, 78-89. https://doi.org/10.1016/j.dss.2014.08.005
• Zhang, L., Peng, T.Q., Zhang, Y.P., Wang, X.H., & Zhu, J.J. (2014). Content or context: which matters more in information processing on microblogging sites. Computers in Human Behavior, 31, 242-249. https://doi.org/10.1016/j.chb.2013.10.031
• Zuckerman, A., & Chaiken, S. (1998). A heuristic-systematic processing analysis of the effectiveness of product warning labels. Psychology & Marketing, 15(7), 621-642.