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Open access Jurnal SINTA 2

Local Journalists' Perception of the Use of Artificial Intelligence in News Production: A Case Study in Surakarta City

Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia (JKISKI) · Vol. 10 No. 2 (2025) · pp. 399–407

DOI
10.25008/jkiski.v10i2.1231
ISSN
2503-0795, 2548-8740
Published
2025-12-07
Publisher
Jurnal Komuniksi ISKI
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The development of artificial intelligence (AI) technology has significantly impacted journalistic practices, including at the local level. This study explores the perceptions of journalists in Surakarta City regarding the benefits, challenges, and ethical implications of AI use in news production. Using a qualitative case study approach, data were collected through in-depth interviews with five journalists from various media platforms. The findings reveal that journalists view AI as a supporting tool that accelerates work processes and enhances production efficiency. However, concerns about the degradation of information quality and potential violations of journalistic ethics remain critical issues. AI acceptance is influenced by perceived usefulness, ease of use, and the professionalism values upheld by journalists. This study recommends strengthening digital literacy and updating journalistic ethical regulations to address the challenges of media transformation in the era of artificial intelligence

Collaboration network of the authors

4 authors · 4 co-authorship links

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  • Sebelas Maret University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Amelia RamadhaniSebelas Maret University1
Prahastiwi UtariSebelas Maret University1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2503-0795/works, first harvested 29 Okt 2026, last seen 29 Okt 2026.
Metadata as oai_dc, converted from Crossref
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