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Inklusi-Eksklusi Aktor Sosial pada Pembentukan Opini Publik oleh Konten Artificial Intelligence TikTok: Inclusion-Exclusion of Social Actors in Public Opinion Formation via TikTok Artificial Intelligence Content

Pena : Jurnal Pendidikan Bahasa dan Sastra · Vol. 16 No. 3 (2026) · hlm. 1–13

DOI
10.22437/pena.v16i3.54455
ISSN
2615-7705, 2089-3973
Terbit
2026-05-24
Penerbit
Program Studi Pendidikan Bahasa dan Sastra Fakultas Keguruan dan Ilmu Pendidikan Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

This study aims to uncover strategies for shaping public opinion through artificial intelligence (AI)-based content on the TikTok platform, with a focus on analyzing the inclusion and exclusion of social actors using Theo van Leeuwen’s (2008) model. This study employs a descriptive qualitative approach using multimodal critical discourse analysis. The data consists of five viral TikTok videos that use AI avatars, generative text, or synthetic voices, which were deliberately selected based on the following criteria: produced by AI, having ≥100,000 views, addressing public issues, and lasting 10–60 seconds. This analysis was conducted by identifying social actors, classifying inclusion/exclusion strategies, analyzing supporting multimodal data such as visuals, audio, and text, and interpreting the implications for public opinion. The results show that all five pieces of content consistently employ suppression strategies against critical actors such as spiritual leaders, health experts, experts in AI ethics, child safety experts, and regulators. Conversely, the content involves actors who promote the logic of entertainment, efficiency, and unreflective consumption through categorization, identification, or designation. Multimodal synergy-whether through visual-auditory dissonance or excessive harmony-reinforces this strategy. The implication is that public opinion is potentially steered toward downplaying existential issues, neglecting health and safety, blind technological optimism, and the normalization of artificial authority.

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8 penulis · 12 tautan kepenulisan bersama · 2 lintas organisasi

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  • State University of Makassar
  • Universitas Halu Oleo
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Irawaty IrawatyUniversitas Halu Oleo1
Abdul Halim MomoUniversitas Halu Oleo1
Nur Sulis RamadaniState University of Makassar1
Mahmudah MahmudahState University of Makassar1
Usman UsmanState University of Makassar1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/pena/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Inklusi-Eksklusi Aktor Sosial pada Pembentukan Opini Publik oleh Konten Artificial Intelligence TikTok: Inclusion-Exclusion of Social Actors in Public Opinion Formation via TikTok  Artificial Intelligence Content</dc:title>
	<dc:creator xml:lang="en">Nensilianti, Nensilianti</dc:creator>
	<dc:creator xml:lang="en">Sarina, Sarina</dc:creator>
	<dc:creator xml:lang="en">Ridwan, Ridwan</dc:creator>
	<dc:subject xml:lang="en">Critical discourse analysis</dc:subject>
	<dc:subject xml:lang="en">inclusion-exclusion</dc:subject>
	<dc:subject xml:lang="en">artificial intelligence</dc:subject>
	<dc:subject xml:lang="en">public opinion</dc:subject>
	<dc:subject xml:lang="en">multimodal</dc:subject>
	<dc:description xml:lang="en">This study aims to uncover strategies for shaping public opinion through artificial intelligence (AI)-based content on the TikTok platform, with a focus on analyzing the inclusion and exclusion of social actors using Theo van Leeuwen’s (2008) model. This study employs a descriptive qualitative approach using multimodal critical discourse analysis. The data consists of five viral TikTok videos that use AI avatars, generative text, or synthetic voices, which were deliberately selected based on the following criteria: produced by AI, having ≥100,000 views, addressing public issues, and lasting 10–60 seconds. This analysis was conducted by identifying social actors, classifying inclusion/exclusion strategies, analyzing supporting multimodal data such as visuals, audio, and text, and interpreting the implications for public opinion. The results show that all five pieces of content consistently employ suppression strategies against critical actors such as spiritual leaders, health experts, experts in AI ethics, child safety experts, and regulators. Conversely, the content involves actors who promote the logic of entertainment, efficiency, and unreflective consumption through categorization, identification, or designation. Multimodal synergy-whether through visual-auditory dissonance or excessive harmony-reinforces this strategy. The implication is that public opinion is potentially steered toward downplaying existential issues, neglecting health and safety, blind technological optimism, and the normalization of artificial authority.</dc:description>
	<dc:publisher xml:lang="en">Program Studi Pendidikan Bahasa dan Sastra Fakultas Keguruan dan Ilmu Pendidikan Universitas Jambi</dc:publisher>
	<dc:date>2026-05-24</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/pena/article/view/54455</dc:identifier>
	<dc:identifier>10.22437/pena.v16i3.54455</dc:identifier>
	<dc:source xml:lang="en">Pena : Jurnal Pendidikan Bahasa dan Sastra; Vol. 16 No. 3 (2026): Pena: Jurnal Pendidikan Bahasa dan Sastra; 1-13</dc:source>
	<dc:source>2615-7705</dc:source>
	<dc:source>2089-3973</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/pena/article/view/54455/24382</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Nensilianti Nensilianti, Sarina Sarina, Ridwan Ridwan</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>