AI based Digital Journalism: Potential, Challenges and Future Directions

The use of the latest developments in Artificial Intelligence (AI) in various professional fields is becoming more noticeable these days. New trends require professionals to adapt the new reality and make effective use of AI technologies. In the case of journalism, generative AI tools enhance the automatic creation of journalistic content by enabling personalized news as well as real-time reporting. While AI can be used in newsrooms to aid the demanding work of journalists and reduce costs for news organizations, its integration raises significant ethical, legal and quality control concerns, including issues of quality, bias, authenticity, and intellectual property. Recent advances in AI, such as deep learning and computer vision, have shown significant potential in the creation of highly aesthetic visual material. In this article we focus on the transformative impact of AI generative tools on visual journalism, and we present the opportunities as well as the challenges arising from their use, identifying both advantages and disadvantages for visual journalism.

Authors

Institutions

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/smap63474.2024.00033
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.98
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI based Digital Journalism: Potential, Challenges and Future Directions

Andreas Lanitis, Ζήνωνας Θεοδοσίου, Venetia Papa
2 citations
Impact of AI and Big Data on Business and Society
0.98
article

AI based Digital Journalism: Potential, Challenges and Future Directions

Andreas Lanitis, Ζήνωνας Θεοδοσίου, Venetia Papa
article en
2 citations

Abstract

The use of the latest developments in Artificial Intelligence (AI) in various professional fields is becoming more noticeable these days. New trends require professionals to adapt the new reality and make effective use of AI technologies. In the case of journalism, generative AI tools enhance the automatic creation of journalistic content by enabling personalized news as well as real-time reporting. While AI can be used in newsrooms to aid the demanding work of journalists and reduce costs for news organizations, its integration raises significant ethical, legal and quality control concerns, including issues of quality, bias, authenticity, and intellectual property. Recent advances in AI, such as deep learning and computer vision, have shown significant potential in the creation of highly aesthetic visual material. In this article we focus on the transformative impact of AI generative tools on visual journalism, and we present the opportunities as well as the challenges arising from their use, identifying both advantages and disadvantages for visual journalism.

Cyprus University of Technology (CY)
Openalex Percentile: Top 19%
Impact of AI and Big Data on Business and Society
0.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.