Proceedings of the 2024 7th International Conference on Humanities Education and Social Sciences (ICHESS 2024)

<Previous Article In Volume
Next Article In Volume>

A Study on the Credibility Assessment of News Content Generated Based on AIGC—Using Entertainment News as a Case Study

Authors
Shuang Wu1, *, Jingying Luo2, Shuyi Jiang3, Yiyi Li4
1Lomonosov Moscow State University, Journalism, Faculty of Journalism, Moscow, 119991, Russia
2Hong Kong Baptist University, Communication, School of Communication, Hongkong, 999077, China
3Peoples’ Friendship University of Russia, Journalism, Faculty of Journalism, Moscow, 117198, Russia
4Shanghai Institute of Visual Art, Literature Cultural Industry Management, Shanghai, 201620, China
*Corresponding author. Email: WL697096@163.com
Corresponding Author
Shuang Wu
Available Online 23 December 2024.
DOI
10.2991/978-2-38476-323-8_61How to use a DOI?
Keywords
AIGC; entertainment news; model training; credibility assessment
Abstract

With the rapid advancement of artificial intelligence technology, news content generated by AI-based language models (AIGC) has become increasingly prevalent. However, this technological breakthrough has also sparked widespread concerns regarding the credibility of such information. Focusing on entertainment news, this study explores the credibility assessment of AIGC-generated news content. By reviewing existing assessment approaches, designing a multi-feature evaluation model, collecting data, and training the model, we aim to evaluate the credibility of entertainment news produced by AIGC. Our results demonstrate that the proposed model effectively enhances the credibility assessment capability for this type of news. The significance of this research lies in providing novel insights and methodologies for assessing the credibility of AIGC-generated news content, thereby ensuring the credibility and dissemination effectiveness of news information.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 7th International Conference on Humanities Education and Social Sciences (ICHESS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
23 December 2024
ISBN
978-2-38476-323-8
ISSN
2352-5398
DOI
10.2991/978-2-38476-323-8_61How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Shuang Wu
AU  - Jingying Luo
AU  - Shuyi Jiang
AU  - Yiyi Li
PY  - 2024
DA  - 2024/12/23
TI  - A Study on the Credibility Assessment of News Content Generated Based on AIGC—Using Entertainment News as a Case Study
BT  - Proceedings of the 2024 7th International Conference on Humanities Education and Social Sciences (ICHESS 2024)
PB  - Atlantis Press
SP  - 516
EP  - 527
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-323-8_61
DO  - 10.2991/978-2-38476-323-8_61
ID  - Wu2024
ER  -