Penelitian ini berfokus pada identifikasi makna dan stereotip yang dilekatkan pada perempuan sebagai objek dalam lirik-lirik lagu campursari. Terdapat tiga lagu campursari yang menjadi objek penelitian ini, ketiga lagu tersebut yakni Angge-angge Orong-orong dan Njaluk Kelon oleh Ratna Antika dan Bukak Bungkus oleh Didi Kempot. Dimana ketiga lagu tersebut dalam banyak menunjukkan adanya objektifikasi terhadap tubuh perempuan dalam liriknya. Untuk mengupas ketiga lagu tersebut, peneliti menggunakan pendekatan kualitatif, dengan metode eksploratif. Berdasarkan topik yang dibahas, peneliti menggunakan discourse linguistik dengan pendekatan M.A.K Halliday. Analisis discourse dipilih karena penelitian akan berfokus pada konteks produksi bahasa. Penelitian ini menghasilkan tiga diskursus, yakni diskursus objektifikasi dimana dalam ketiga lagu tersebut perempuan hanya dipandang sebagai sesuatu yang memiliki fungsi seksual saja, dimana tubuh perempuan dieksploitasi dan disamakan dengan penyebutan nama-nama benda hingga hewan. Diskursus janda, dimana lagu Angge-angge Orong-orong dan Njaluk Kelon dalam liriknya memberi stigma bahwa janda merepotkan karena sudah melahirkan anak dari pernikahan sebelumnya, selain itu janda juga dianggap memiliki kemampuan seksualitas lebih dibandingkan dengan perawan. Terakhir, diskursus hubungan seksual. Pada ketiga lagu tersebut, baik secara implisit maupun eksplisit mengelompokkan hubungan seksual menjadi dua kategori, yakni hubungan seksual yang legal dan illegal.
Background: The presence of the Internet has introduced a more complex way within the process of disseminating various images and information about celebrities, including private celebrity information such as scandals, conflicts, and various aspects of personal life that previously could only be enjoyed in classic infotainment formats in the mass media. Purpose: This study analyzes the motives of the audience’s consumption process for the content produced by various celebrity gossip accounts in Indonesian cyberspace. This research aims to dig deeper into the audience’s motives when consuming this particular information about celebrities. Methods: This research was conducted using in-depth interviews with ten sources who regularly consume the content of online celebrity gossip accounts on social media. Results: The results show that three motives encourage audiences to consume celebrity gossip online: informational motives, entertainment motives, and social motives. The information motive refers to the interviewee’s perception that online celebrity gossip accounts provide a more detailed and exclusive source of information. The entertainment motive refers to the enjoyment of the audience when they are involved in ‘imaginary drama’ and heated debate between audiences in the comment section. Social motive refers to the value of celebrity gossip as a valuable resource to start conversations and maintain group cohesion among close friends. Conclusions: The public’s interest in consuming celebrity information, whether for informational, entertainment, or social reasons, indicates an unrelenting demand for information about celebrities which in turn encourages the proliferation of gossip-providing accounts on social media. Implications: This study itself serves as an initial stepping stone to open a more serious study on celebrity culture in Indonesia.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.