Analisis Multimodal pada Teks Iklan untuk Mengidentifikasi Aspek Ketulusan Iklan

Main Article Content

Lee Seung Hoon
Syihabuddin Syihabuddin
Dadang Sudana
Wawan Gunawan

Abstract

This study aims to analyze the sincerity aspect of Indonesian and Korean advertisements through multimodal analysis. This study uses a content analysis research method using the FCB Grid Model on several products, namely fast food, tobacco, and telecommunications. The selection of ad samples was carried out based on the FCB Grid Model. The results of the study show that some products such as tobacco and fast food are included in the category of products that involve low emotions and thoughts when consumers consider these products. However, telecommunications products fall into the category of products that involve high rational thinking skills, thus requiring serious consideration from consumers. Other findings show that there are several semantic and pragmatic expressions that make consumers confused in choosing a product. The most frequent violations found in products are false expressions and explanations that lead consumers astray. In addition, other violations are expression omissions, exaggerated expressions, fictitious, and omission of important information, thus making consumers feel lost in choosing products.

Downloads

Download data is not yet available.

Article Details

How to Cite
Hoon, L. S., Syihabuddin, S., Sudana, D., & Gunawan, W. (2023). Analisis Multimodal pada Teks Iklan untuk Mengidentifikasi Aspek Ketulusan Iklan. Diglosia: Jurnal Kajian Bahasa, Sastra, Dan Pengajarannya, 6(2), 303-318. https://doi.org/10.30872/diglosia.v6i2.579
Section
Articles
Author Biographies

Lee Seung Hoon, Universitas Pendidikan Indonesia

Universitas Pendidikan Indonesia
Jalan Dr. Setiabudhi No 229, Bandung, 40154, Jawa Barat, Indonesia
Email: skypoem0604@gmail.com
Orcid IDhttps://orcid.org/0000-0002-7716-9432 

Syihabuddin Syihabuddin, Universitas Pendidikan Indonesia

Universitas Pendidikan Indonesia
Jalan Dr. Setiabudhi No 229, Bandung, 40154, Jawa Barat, Indonesia
Email: syihabudin@upi.edu
Orcid ID: https://orcid.org/0000-0001-6156-7826

Dadang Sudana, Universitas Pendidikan Indonesia

Universitas Pendidikan Indonesia
Jalan Dr. Setiabudhi No 229, Bandung, 40154, Jawa Barat, Indonesia
Email: dsudana2013@yahoo.com
Orcid ID: https://orcid.org/0000-0001-53701685

Wawan Gunawan, Universitas Pendidikan Indonesia

Universitas Pendidikan Indonesia
Jalan Dr. Setiabudhi No 229, Bandung, 40154, Jawa Barat, Indonesia
Email: wagoen@upi.edu
Orcid ID: https://orcid.org/0000-0003-1792-8350

 

References

Adler, S., & Kohn, A. (2020). A multimodal analysis of a controversial Israeli political campaign ad. Social Semiotics, 0(0), 1–17. https://doi.org/10.1080/10350330.2020.1779459
Ain, Q., Ahmed, F., Ghilzai, S. A., & Asim, M. (2023). The erasure of nature becoming the new normal: An ecolinguistic analysis of Food products’ commercial discourse of multinational companies. Cogent Arts and Humanities, 10(1). https://doi.org/10.1080/23311983.2022.2164405
Alarifi, A., AlZubi, A. A., & Alwadain, A. (2020). Multimodal Learning Optimization for Enhancing Channel Usage in Wireless Communication. Circuits, Systems, and Signal Processing, 39(2), 1146–1162. https://doi.org/10.1007/s00034-019-01172-4
Alyousef, H. S. (2016). A multimodal discourse analysis of the textual and logical relations in marketing texts written by international undergraduate students. Functional Linguistics, 3(1), 1–29. https://doi.org/10.1186/s40554-016-0025-1
Andersson, H. (2019). Recontextualizing Swedish nationalism for commercial purposes: a multimodal analysis of a milk marketing event. Critical Discourse Studies, 16(5), 583–603. https://doi.org/10.1080/17405904.2019.1637761
Bolognesi, M., & Lievers, F. S. (2020). How Language and Image Construct Synaesthetic Metaphors in Print Advertising. Visual Communication, 19(4), 431–457. https://doi.org/10.1177/1470357218782001
Chen, Z. T., & Cheung, M. (2022). Consumption as extended carnival on Tmall in contemporary China: a social semiotic multimodal analysis of interactive banner ads. Social Semiotics, 32(2), 163–183. https://doi.org/10.1080/10350330.2020.1720992
de Bernardi, C. (2022). Sámi tourism in marketing material: a multimodal discourse analysis. Acta Borealia, 39(2), 115–137. https://doi.org/10.1080/08003831.2022.2104544
Del Saz-Rubio, M. M. (2019). The Pragmatic-semiotic Construction of Male Identities in Contemporary Advertising of Male Grooming Products. Discourse & Communication, 13(2), 192–227. https://doi.org/10.1177/1750481318817621
Dicerto, S. (2018). Multimodal Pragmatics and Translation: A New Model for Source Text Analysis. Palgrave Macmillan. https://doi.org/10.1007/978-3-319-69344-6
Fazio, X., Gallagher, T. L., & DeKlerk, C. (2022). Exploring Adolescents’ Critical Reading of Socioscientific Topics Using Multimodal Texts. International Journal of Science and Mathematics Education, 20, 93–116. https://doi.org/10.1007/s10763-022-10280-8
Graakjær, N. J. (2019). Sounding out i’m lovin’ it–a multimodal discourse analysis of the sonic logo in commercials for McDonald’s 2003–2018. Critical Discourse Studies, 16(5), 569–582. https://doi.org/10.1080/17405904.2019.1624184
Hangloo, S., & Arora, B. (2022). Combating multimodal fake news on social media: methods, datasets, and future perspective. In Multimedia Systems (Vol. 28, Issue 6). Springer Berlin Heidelberg. https://doi.org/10.1007/s00530-022-00966-y
Hou, S., Zhou, S., Liu, W., & Zheng, Y. (2018). Classifying advertising video by topicalizing high-level semantic concepts. Multimedia Tools and Applications, 77(19), 25475–25511. https://doi.org/10.1007/s11042-018-5801-3
Huddar, M. G., Sannakki, S. S., & Rajpurohit, V. S. (2020). Multi-level context extraction and attention-based contextual inter-modal fusion for multimodal sentiment analysis and emotion classification. International Journal of Multimedia Information Retrieval, 9(2), 103–112. https://doi.org/10.1007/s13735-019-00185-8
Ishikawa, Y., Kobayashi, A., & Kamisaka, D. (2021). Modelling and predicting an individual’s perception of advertising appeal. In User Modeling and User-Adapted Interaction (Vol. 31, Issue 2). Springer Netherlands. https://doi.org/10.1007/s11257-020-09287-z
Kelly, L. B., & Kachorsky, D. (2022). Text Complexity and Picturebooks: Learning from Multimodal Analysis and Children’s Discussion. Reading and Writing Quarterly, 38(1), 33–50. https://doi.org/10.1080/10573569.2021.1907636
Kusno, A., Arifin, M. B., & Mulawarman, W. G. (2022). Identifikasi Konteks Ekstralingual Virtual Bahasa Media Sosial sebagai Penunjang Analisis Bahasa sebagai Alat Bukti Hukum. Diglosia: Jurnal Kajian Bahasa, Sastra, Dan Pengajarannya, 5(1s), 261–282. https://doi.org/10.30872/diglosia.v5i1s.401
Macagno, F., & Pinto, R. B. W. S. (2021). Reconstructing Multimodal Arguments in Advertisements: Combining Pragmatics and Argumentation Theory. Argumentation, 35(1), 141–176. https://doi.org/10.1007/s10503-020-09525-z
Rahmayanti, I., & Fajar, A. (2020). Sosiopragmatik Imperatif Iklan pada Media Sosial. Diglosia: Jurnal Kajian Bahasa, Sastra, Dan Pengajarannya, 3(1), 79–86. https://doi.org/10.30872/diglosia.v3i1.37
Shen, W., Bai, H., Ball, L. J., Yuan, Y., & Wang, M. (2021). What makes creative advertisements memorable? The role of insight. Psychological Research, 85(7), 2538–2552. https://doi.org/10.1007/s00426-020-01439-5
Tembhurne, J. V., & Diwan, T. (2021). Sentiment analysis in textual, visual and multimodal inputs using recurrent neural networks. Multimedia Tools and Applications, 80(5), 6871–6910. https://doi.org/10.1007/s11042-020-10037-x
Turra, E. (2020). Culture, communication and persuasion on gastronomic tourism websites: A multimodal analysis. Journal of Visual Literacy, 39(3–4), 256–272. https://doi.org/10.1080/1051144X.2020.1828676
Tyrer, C. (2021). The voice, text, and the visual as semiotic companions: an analysis of the materiality and meaning potential of multimodal screen feedback. Education and Information Technologies, 26(4), 4241–4260. https://doi.org/10.1007/s10639-021-10455-w
Xie, Z., Li, L., Zhong, X., He, Y., & Zhong, L. (2019). Enhancing multimodal deep representation learning by fixed model reuse. Multimedia Tools and Applications, 78(21), 30769–30791. https://doi.org/10.1007/s11042-018-6556-6
Zhang, C., & Xu, C. (2018). Argument by Multimodal Metaphor as Strategic Maneuvering in TV Commercials: A Case Study. Argumentation, 32(4), 501–517. https://doi.org/10.1007/s10503-018-9455-0