‘Clickbait’ sebagai ‘Darwinisme Informasi’: Sebuah Uraian Konseptual

Nanang Krisdinanto

Abstract


Naskah ini merupakan literature review yang mengkaji fenomena clickbait, konteks historis kemunculannya, konseptualisasi hingga perangkat analisis yang bisa digunakan untuk mendeteksinya. Clickbait tekait dengan artikel dengan judul menyesatkan, melebih-lebihkan konten pada halaman arahan, eksploitasi celah keingintahuan pengguna dan memikat mereka untuk mengklik tautan yang sering kali mengecewakan mereka. Tujuannya menarik pengguna mengklik judul untuk memonetisasi halaman arahan. Sebagai perangkat analisis, peneliti bisa menggunakan enam variabel (incomplete information, appeals expressions, repetition and serialization, exaggeration, soft news, dan striking audiovisual elements) yang dibagi ke dalam dua kategori, yaitu presentation variables dan content variables.


Keywords


clickbait; berita; presentation variables; content variables

References


Alejandro, J. (2010). Journalism in the Age of Social Media. Oxford.

Anand, A., Chakraborty, T., & Park, N. (2017). We used neural networks to detect clickbaits: You won’t believe what happened next! In Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-56608-5_46

Antunovic, D., Parsons, P., & Cooke, T. R. (2016). ‘Checking’ and googling: Stages of news consumption among young adults. Journalism, 19(5), 632–648. https://doi.org/https://doi.org/10.1177/1464884916663625

Bazaco, Á., Redondo, M., & Sánchez-García, P. (2019). Clickbait as a strategy of viral journalism: conceptualisation and methods. Revista Latina de Comunicación Social, 74, 94–115. https://doi.org/10.4185/RLCS-201

Biyani, P., Tsioutsiouliklis, K., & Blackmer, J. (2016). Detecting Clickbaits in News Streams Using Article Informality. Thirtieth AAAI Conference on Artificial Intelligence, 94–100.

Blom, J. N., & Hansen, K. R. (2015). Click bait: Forward-reference as lure in online news headlines. Journal of Pragmatics, 76, 87–100. https://doi.org/10.1016/j.pragma.2014.11.010

Cawley, A. (2019). Digital Transitions. Journalism Studies, 20(7), 1028–1049. https://doi.org/10.1080/1461670X.2018.1481348

Deuze, M., & Witschge, T. (2018). Beyond journalism: Theorizing the transformation of journalism. Journalism, 19(2), 165–181. https://doi.org/https://doi.org/10.1177/1464884916688550

Goyanes, M., Castro, M. R., & Freire, F. C. (2020). Value and Intelligence of Business Models in Journalism. In J. V. Herrero, A. S. Rodríguez, R. Rebollal, & X. L. García (Eds.), Journalistic Metamorphosis Media Transformation in the Digital Age (Vol. 70, pp. 171–181). Cham: Springer Nature Switzerland AG .

Kulken, J., Scuth, A., Spitters, M., & Marx, M. (2017). Effective Headlines of Newspaper Articles in a Digital Environment. Digital Journalism, 5(10), 1300–1314. https://doi.org/https://doi.org/10.1080/21670811.2017.1279978

Meier, K., Kraus, D., & Michaeler, E. (2018). Audience Engagement in a Post-Truth Age: What it means and how to learn the activities connected with it. Digital Journalism, 6(8), 1052–1063. https://doi.org/10.1080/21670811.2018.1498295

Mitchelstein, E., & Boczkowski, P. J. (2009). Between tradition and change. Journalism, 10(5), 562–586. https://doi.org/10.1177/1464884909106533

Molek-Kozakowska, K. (2013). Towards a pragma-linguistic framework for the study of sensationalism in news headlines. Discourse and Communication, 7(2), 173–197. https://doi.org/10.1177/1750481312471668

Olsen, R. K., Pickard, V., & Westlund, O. (2020). Communal News Work: COVID-19 Calls for Collective Funding of Journalism. Digital Journalism, 8(5), 673–680. https://doi.org/https://doi.org/10.1080/21670811.2020.1763186

Reinemann, C., Stanyer, J., Scherr, S., & Legnante, G. (2012). Hard and soft news: A review of concepts, operationalizations and key findings. Journalism, 13(2), 221–239. https://doi.org/10.1177/1464884911427803

Rubin, V. L., Chen, Y., & Conroy, N. J. (2015). Deception detection for news: Three types of fakes. Proceedings of the Association for Information Science and Technology, 52(1), 1–4. https://doi.org/10.1002/pra2.2015.145052010083

Siles, I., & Boczkowski, P. J. (2012). Making sense of the newspaper crisis: A critical assessment of existing research and an agenda for future work. New Media & Society, 14(8), 1375–1394. https://doi.org/https://doi.org/10.1177/1461444812455148

Silverman, C. (2015). Lies, Damn Lies, and Viral Content. In Tow Center for Digital Journalism. Columbia Journalism School.

Thakur, D., & Kurhade, S. (2021). Context-based Clickbait identification using Deep Learning. International Conference on Communication Information and Computing Technology (ICCICT). https://doi.org/10.1109/ICCICT50803.2021.9510141

Zhou, Z. (2022). The Analysis of Click Bait in We Media Era. Proceedings of the 2021 International Conference on Social Development and Media Communication (SDMC 2021), 631(Sdmc 2021), 1544–1547. https://doi.org/10.2991/assehr.k.220105.285




DOI: http://dx.doi.org/10.33021/exp.v6i1.4134

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