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对虚假信息和错误信息的多模式分析
Anna Wilson1, Seb Wilkes2, Yayoi Teramoto3
1Oxford School of Global and Area Studies, University of Oxford, Oxford OX1 2JD, UK.
Royal Society open science
|December 21, 2023
概括
多模式分析,结合语言,图像和声音,对于理解虚假信息至关重要. 本综述绘制了跨学科领域的地图,强调了计算机科学.
科学领域:
- 计算机科学 计算机科学
- 语言学的语言学.
- 沟通研究 沟通研究
- 政治科学 政治科学是指政治学.
背景情况:
- 虚假信息和错误信息运动在媒体上普遍存在,吸引了大量的学术和政策关注.
- 有效的分析需要多式联络方法,整合语言,手势,图像和声音,因为人类沟通本质上是多式联络.
- 现有的研究涉及学科的融合,包括计算机科学,语言学,政治学和通信研究.
研究的目的:
- 综合各种学科对虚假信息和错误信息的多式联络分析的研究.
- 绘制跨学科格局的地图,并确定多式联运信息/虚假信息研究的新兴趋势.
- 确定研究缺口,并建议未来的跨学科研究方向.
主要方法:
- 文献综述综合了计算机科学,语言学,政治学和通信学研究的研究.
- 分析多式联运虚假信息研究的增长和重点,特别是来自计算机科学.
- 识别研究缺口和未来的研究途径.
主要成果:
- 从2020年初开始,多式联运虚假信息/错误信息研究,特别是从计算机科学开始,大幅增加.
- 该综述提供了对多学科和跨学科研究环境的全面概述.
- 已经确定了多式联运虚假信息分析中的关键研究缺口.
结论:
- 多模式分析对于理解当代的虚假信息和错误信息至关重要.
- 该领域正在迅速发展,计算机科学有着显著的贡献.
- 需要进一步的跨学科合作,以解决发现的研究差距,并推进该领域.
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