Pengaruh Judul Clickbait terhadap Persepsi Kredibilitas Berita Online di Kalangan Mahasiswa The Effect of Clickbait Headlines on Perceptions of Online News Credibility among Students
Article Sidebar
Page Numbers:
3071-3084
Digital Object Identifier:
10.58578/tsaqofah.v6i3.10174
Viewed: 96 times
Downloaded: 64 times
LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers
Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.
Authors:Leo Stepen Aprison1*, Delfan Eko Putra2
Copyright :Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
The development of online media encourages the use of news headlines that attract readers’ attention, including clickbait headlines. This practice has the potential to influence readers’ perceptions of news credibility because the headline is the first element assessed before the news content is read. This study aims to analyze the effect of clickbait headlines on perceptions of online news credibility among university students. This study used a quantitative approach with an explanatory survey design. The research respondents consisted of 20 students selected through purposive sampling with the criterion of having accessed or read online news. Data were collected using a closed-ended Likert-scale questionnaire consisting of 16 statement items. The research instrument was declared valid, with validity values ranging from 0.842 to 0.960, and reliable, with a Cronbach’s Alpha value of 0.983. Data were analyzed using simple linear regression. The results show that clickbait headlines have a significant effect on perceptions of online news credibility, with a significance value of 0.000, a correlation coefficient of 0.962, and a coefficient of determination of 0.925. This finding confirms that news headlines play an important role in shaping perceptions of digital media credibility. The conclusion of this study indicates that the use of clickbait headlines needs to be managed ethically so that they remain attractive, accurate, relevant, and in accordance with the principles of digital journalism. The implications of this study provide a practical basis for online media managers in composing news headlines that can attract readers’ attention without reducing information credibility.
Citation Metrics:
Downloads
Citation Metrics & Similar Scopus Articles
-
Alarfaj F.K. (2026)Clickbait detection in news headlines using RoBERTa-Large language model and deep embeddingsScientific Reports, 16(1)
-
Kurniawan S. (2026)Development and Evaluation of an IndoBERT-Based NLP Model for Automated Clickbait DetectionAdvance Sustainable Science Engineering and Technology, 8(1)
-
Liebeskind C. (2026)Multilingual clickbait detection with BERT: An empirical evaluation of training strategiesArray, 30
Article Details
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
Asosiasi Penyelenggara Jasa Internet Indonesia. (2024, February 7). APJII Jumlah Pengguna Internet Indonesia Tembus 221 Juta Orang. https://apjii.or.id/berita/d/apjii-jumlah-pengguna-internet-indonesia-tembus-221-juta-orang
Fakhruzzaman, M. N., Jannah, S. Z., Ningrum, R. A., & Fahmiyah, I. (2023). Flagging clickbait in Indonesian online news websites using fine-tuned transformers. International Journal of Electrical and Computer Engineering (IJECE), 13(3), 2921–2930. https://doi.org/10.11591/ijece.v13i3.pp2921-2930
Ghozali, I. (2021). Aplikasi Analisis Multivariate dengan Program IBM SPSS 26 (10th ed.). Badan Penerbit Universitas Diponegoro.
Hadiyat, Y. D. (2019). Clickbait on Indonesia online media. Jurnal Pekommas, 4(1), 1–10. https://doi.org/10.30818/jpkm.2019.2040101
Kaushal, V., & Vemuri, K. (2021). Clickbait—trust and credibility of digital news. IEEE Transactions on Technology and Society, 2(3), 146–154. https://doi.org/10.1109/TTS.2021.3073464
Kriyantono, R. (2014). Teknik Praktis Riset Komunikasi. Kencana Prenada Media Group.
McQuail, D. (2010). McQuail’s Mass Communication Theory (6th ed.). SAGE Publications.
Mohammada, S., Mayasari, M., & Budhiharti, T. W. (2024). Dampak Penggunaan Clickbait pada Judul Berita di Tribunnews.com terhadap Minat Baca Mahasiswa Ilmu Komunikasi Universitas Singaperbangsa Karawang Angkatan 2020. Jurnal Ilmu Komunikasi dan Media Sosial (JKOMDIS), 4(2), 503–506. https://doi.org/10.47233/jkomdis.v4i2.1777
Pangerapan, J. N., Boham, A., & Randang, J. L. K. (2020). Persepsi Mahasiswa tentang Kepala Berita Click Bait Media Online Instagram: Studi pada Mahasiswa Jurusan Ilmu Komunikasi Fakultas Ilmu Sosial dan Politik Unsrat Konsentrasi Jurnalistik. Acta Diurna Komunikasi, 2(1), 1–14. https://ejournal.unsrat.ac.id/v3/index.php/actadiurnakomunikasi/article/view/27108
Rahmatika, N., & Prisanto, G. F. (2022). Pengaruh Berita Clickbait terhadap Kepercayaan pada Media di Era Attention Economy. Avant Garde: Jurnal Ilmu Komunikasi, 10(2), 190–200. https://doi.org/10.36080/ag.v10i2.1947
Steele, J. (2025, June 17). Indonesia. In Digital News Report 2025. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2025/indonesia
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Toff, B., Badrinathan, S., Mont’Alverne, C., Ross Arguedas, A., Fletcher, R., & Nielsen, R. K. (2020). What we think we know and what we want to know: Perspectives on trust in news in a changing world. Reuters Institute for the Study of Journalism. https://doi.org/10.60625/risj-r2fy-tw75