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AIGC对新闻伦理的冲击及规范构建
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Abstract:
近年来,深度学习技术的突破使得AIGC在新闻领域的应用越来越广泛。AIGC可以自动生成新闻报道,大大提高了新闻生产的效率和质量。然而,AIGC的使用也引发了一系列新闻伦理问题,如真实性和客观性问题、隐私和信息安全问题、版权问题等。随着人工智能技术的快速发展,新闻报道领域也不可避免地面临着一系列伦理问题。本论文旨在探讨人工智能生成内容(AIGC)对新闻伦理所带来的冲击,探讨如何构建规范的AIGC使用准则,并提出相应的规范构建方法,以保障新闻的真实性、客观性和公众利益。本文采用文献综述和案例分析相结合的方法,通过对相关文献的梳理,总结AIGC在新闻领域的应用情况和伦理问题,通过对典型案例的分析,探讨AIGC对新闻伦理的冲击及应对策略。
In recent years, breakthroughs in deep learning technology have significantly expanded the application of AI-generated content (AIGC) in the field of journalism. AIGC can automatically generate news reports, greatly enhancing the efficiency and quality of news production. However, its use has also raised a series of ethical concerns, including issues related to authenticity and objectivity, privacy and information security, and copyright. As artificial intelligence technology continues to evolve rapidly, the journalism industry inevitably faces various ethical challenges. This paper aims to explore the ethical implications of AIGC in journalism, examine how to establish standardized guidelines for its use, and propose corresponding regulatory frameworks to ensure the authenticity, objectivity, and public interest of news reporting. By combining a literature review with case analysis, this study summarizes the applications of AIGC in journalism and its associated ethical issues through a review of relevant literature. Additionally, by analyzing typical cases, the paper investigates the ethical challenges posed by AIGC in journalism and explores possible strategies for addressing them.
[1] | 彭兰. 未来传媒生态: 消失的边界与重构的版图[J]. 现代传播(中国传媒大学学报), 2017, 39(1): 8-14, 29. |
[2] | 郑满宁. 人工智能技术下的新闻业: 嬗变、转向与应对——基于ChatGPT带来的新思考[J]. 中国编辑, 2023(4): 35-40. |
[3] | 彭兰. 从ChatGPT透视智能传播与人机关系的全景及前景[J]. 新闻大学, 2023(4): 1-16, 119. |
[4] | 刘涛. 融合新闻的三重伦理困境[J]. 教育传媒研究, 2020(6): 10-14. |
[5] | 郭全中, 袁柏林. 从GPT看AGI的本质突破: 传媒业新挑战与未来[J]. 新闻爱好者, 2023(4): 30-35. |
[6] | 彭兰. 未来传媒生态: 消失的边界与重构的版图[J]. 现代传播(中国传媒大学学报), 2017, 39(1): 8-14, 29. |
[7] | 陈昌凤, 张梦. 由数据决定?AIGC的价值观和伦理问题[J]. 新闻与写作, 2023(4): 15-23. |
[8] | 李敏, 谭天. 融合中转型: 从电视记者到新闻策展人[J]. 电视研究, 2016(8): 11-13. |
[9] | 陈荷. 机器人写作的应用现状与展望——以“封面新闻”机器人“小封”为例[J]. 中国广播, 2019(10): 62-65. |
[10] | 郭淼, 邓斐扬. 人机耦合: ChatGPT对新闻业的重塑可能[J]. 传媒论坛, 2023, 6(6): 9-14. |
[11] | 夏雨禾. “智媒化”语境中的新闻传播——对智能技术与新闻传播关系的思考[J]. 编辑之友, 2019(5): 13-19, 31. |
[12] | 于洋, 姜飞. 国际跨文化传播研究新特征和新趋势[J]. 国际新闻界, 2021, 43(1): 67-84. |