# Bibliometric and Content Analysis of the Scientific Work on Artificial Intelligence in Journalism
> Sonni A.F.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85197125008
Jurnal / Konferensi: Journalism and Media
Tahun terbit: 2024
DOI: https://doi.org/10.3390/journalmedia5020051
ISSN: 26735172
Kuartil SJR: Q1
Citations: 21

## Authors
- Sonni A.F.

## Abstract
This paper presents a comprehensive bibliometric review of the development of artificial intelligence (AI) in journalism based on the analysis of 331 articles indexed in the Scopus database between 2019 and 2023. This research combines bibliometric approaches and quantitative content analysis to provide an in-depth conceptual and structural overview of the field. In addition to descriptive measures, co-citation and co-word analyses are also presented to reveal patterns and trends in AI- and journalism-related research. The results show a significant increase in the number of articles published each year, with the largest contributions coming from the United States, Spain, and the United Kingdom, serving as the most productive countries. Terms such as “fake news”, “algorithms”, and “automated journalism” frequently appear in the reviewed articles, reflecting the main topics of concern in this field. Furthermore, ethical aspects of journalism were highlighted in every discussion, indicating a new paradigm that needs to be considered for the future development of journalism studies and professionalism.

## Keywords
- Journalism
- Work (physics)
- Content (measure theory)
- Content analysis
- Bibliometrics
- Data science
- Computer science
- Engineering ethics
- Sociology
- Media studies
- Social science
- Library science
- Engineering
- Mathematics
- Mechanical engineering
- Mathematical analysis

---
Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.