Machine news writing in the age of artificial Intelligence: Current situation and future prospects
- DOI
- 10.2991/978-2-38476-277-4_126How to use a DOI?
- Keywords
- machine news writing; Artificial intelligence; ChatGPT
- Abstract
Since Tencent Finance launched the first machine news article in 2015, machine news writing began to enter the domestic public's vision. Machine news writing is a typical application of artificial intelligence technology in the field of news communication, which has greatly changed the existing business pattern and provided a new opportunity for the process upgrade and overall transformation of news production. With the emergence of chatGPT and other artificial intelligence, its ability in aggregating and releasing information, collating article data, collecting topic selection materials and other aspects is imestimable at the level of news writing. However, pending news ethics issues behind intelligent news cannot be ignored. This paper will focus on the development status of machine news writing, and finally put forward some suggestions for avoiding its negative effects. In order to realize the cross-field collaborative development of machine news writing and news communication.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ying Li PY - 2024 DA - 2024/09/02 TI - Machine news writing in the age of artificial Intelligence: Current situation and future prospects BT - Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024) PB - Atlantis Press SP - 1147 EP - 1154 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-277-4_126 DO - 10.2991/978-2-38476-277-4_126 ID - Li2024 ER -