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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) · pp. 1–13

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

Abstract

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.

Keywords

Collaboration network of the authors

40 authors · 156 co-authorship links · 9 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Muhammadiyah Parepare
  • Hasanuddin University
  • Universitas Halu Oleo
  • Universitas Islam Negeri Ar-Raniry
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Bambang WidarsonoAffiliation unknown3
Heru AtmokoAffiliation unknown3
Aan AsphiantoAffiliation unknown2
Khairan ARUniversitas Islam Negeri Ar-Raniry2
Mira MaisuraAffiliation unknown2
Mujamilah MujamilahAffiliation unknown2
Kosasih KosasihAffiliation unknown2
Aulia Syarif AzizAffiliation unknown1
Muhammad IchsanAffiliation unknown1
Lili DarlianAffiliation unknown1
Amiruddin AmiruddinHasanuddin University1
Aminur AminurUniversitas Halu Oleo1
Abd. Rahman KadirUniversitas Halu Oleo1
Yuliastri Ambar PambudhiUniversitas Halu Oleo1
Muhammad AbasUniversitas Halu Oleo1
Ridwan M. ThahaHasanuddin University1
Sudirman NasirHasanuddin University1
Abdullah AbdullahUniversitas Muhammadiyah Parepare1
Abd RahimUniversitas Muhammadiyah Parepare1
Bahruddin BahruddinUniversitas Muhammadiyah Parepare1
Sukmawati SukmawatiUniversitas Muhammadiyah Parepare1
Sri Nur QadriUniversitas Muhammadiyah Parepare1
Iradhatullah RahimUniversitas Muhammadiyah Parepare1
Syamsiar ZamzamUniversitas Muhammadiyah Parepare1
Nur HapsaUniversitas Muhammadiyah Parepare1
Irmayani IrmayaniUniversitas Muhammadiyah Parepare1
Munir MunirUniversitas Muhammadiyah Parepare1
Rahmawati SemaunUniversitas Muhammadiyah Parepare1
Edi KurniawanUniversitas Muhammadiyah Parepare1
Ramlayani RamlayaniUniversitas Muhammadiyah Parepare1
Sukardi SukardiUniversitas Muhammadiyah Parepare1
Suherman SuhermanUniversitas Muhammadiyah Parepare1
Makkarennu MakkarennuHasanuddin University1
Sri wahyuni HarisHasanuddin University1
Hibnu NugrohoAffiliation unknown1
Austin Al HarizAffiliation unknown1
Nur Sulis RamadaniAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/pena/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (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>