Strategi Membangun Citra Positif Dengan Teknologi Artificial Intelegence (AI) Untuk Siaran Berita Tvone

Authors

  • Heru Sudinta Institut Ilmu Sosial dan Manajemen Stiami , Jakarta Indonesia
  • Krishantoro Krishantoro Institut Ilmu Sosial dan Manajemen Stiami , Jakarta Indonesia
  • Aditya Nugroho Institut Ilmu Sosial dan Manajemen Stiami , Jakarta Indonesia

Keywords:

Positive Image, Artificial Intelligence, Tvone

Abstract

Having a good image for an organization is believed to be able to provide benefits. It is even believed that the accumulation of a good image that has been nurtured over a long period of time is also capable of producing a reputation that will become a weapon in competition and make it easier to make profits. Vice versa, if an organization produces a bad image, then the organization is said to be facing the threat of loss. This means that image is able to determine the public's impression of the company, while the public's impression determines an organization's profit.

The use of Artificial Intelligence (AI) technology in broadcasting news, is tvOne television strategy in forming a positive public impression from viewers' trust in news programs. The use of Artificial Intelligence (AI) technology is believed to help speed up work, analyze and sharpen information. This understanding is expected to be able to gain public support and trust so as to give rise to a positive image of the organization.

References

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Jefkins, Frank. 2004. Public Relations, Edisi Kelima. Jakarta: Erlangga

Ruslan, Rosady. 2003. Manajemen Public Relations. Jakarta: Rajawali Press

Yasa, A., Suswanta, S., Rafi, M., Rahmanto, F., Setiawan, D., & Iqbal Fadhlurrohman, M. (2021). Penguatan Reformasi Birokrasi Menuju Era Society 5.0 di Indonesia. Nakhoda: Jurnal Ilmu Pemerintahan, 20(1), 27–42. https://doi.org/10.35967/njip.v20i1.139.

https://www.unpad.ac.id/2023/04/teknologi-ai-dalam-industri-pers-akankah-menggantikan-peran-pekerja-media/ apabila mengutip konten berita ini.

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Published

2024-04-04

Issue

Vol. 10 No. 3: Oktober 2023

Section

Articles

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