DISCOURSE NETWORK ANALYSIS OF THE ISRAELI PRODUCT BOYCOTT ISSUE ON THE ONLINE MEDIA PLATFORM DETIK.COM

Authors

  • Anting Sekar Adelina Faculty of Communication Science, Gunadarma University, Depok
  • Siti Masitoh Department of Public Relations, Akademi Komunikasi Media Radio dan TV, Jakarta
  • Eko Hartanto Department of Public Relations, Akademi Komunikasi Media Radio dan TV, Jakarta
  • Cholidah Astri Pertiwi Department of Public Relations, Akademi Komunikasi Media Radio dan TV, Jakarta

Keywords:

Boycott of Israeli Products, Detik.com, Discourse Network Analysis, Discourse Coalition Framework

Abstract

The boycott of Israeli products has become a trending topic in Indonesia as a form of support for Palestine and rejection of Israeli actions that are considered to violate human rights. This trend is growing through social media and digital platforms, to encourage participation in the boycott of Israeli products. This research aims to find out the news of the boycott of Israeli products on Detik.com through Discourse Network Analysis (DNA) with the aim of knowing the actors related to the news of the boycott of Israeli products and to find out the parties who support and reject the boycott of Israeli products. Pro and con statements on the news of the boycott of Israeli products on Detik.com were studied using Discourse Network Analysis (DNA) and network visualization using Visone software. The use of DCF theory refers to groups of actors forming and promoting discourse to influence policy or social issues. The results of the study based on news related to the boycott of Israeli products that have been collected from December 14, 2023 to March 14, 2024, there are 25 news with 55 statements from 25 actors. 5 categories were found with 80% positive statements and 20% negative statements. All statements that have been submitted provide news results that are more supportive of boycotts in response to Israel's actions against Palestine.

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Published

2025-07-15

Issue

Vol. 1 (2024): International Broadcasting Conference 2024

Section

Articles

License

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.