中华人民共和国国家信息行动宣传技巧数据集
Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
摘要：
数字媒体，被确定为计算宣传提供了一个途径，宣传扩大其影响力没有限制。国家支持的宣传旨在塑造受众对实体的认知，以支持某一政党或权威。此外，它已成为现代信息战争的一部分，用于获得对对手的优势。目前的研究大多集中在使用机器学习、定量和定性的方法来区分社交媒体上的某条信息是否是宣传。主要针对英语内容进行研究，但很少有针对汉语普通话内容的研究。从宣传检测，我们想更进一步，提供更多关于所应用的宣传技术的细粒度信息。在这项研究中，我们的目标是通过提供一个多标签的宣传技术数据集在普通话的基础上提供的Twitter提供的国家支持的信息操作数据集的信息差距。除了呈现数据集之外，我们还使用微调的BERT应用多标签文本分类。这可能有助于未来的研究，特别是在跨语言背景和跨平台身份整合中检测国家支持的在线宣传。
英文摘要：
The digital media, identified as computational propaganda provides a pathway for propaganda to expand its reach without limit. State-backed propaganda aims to shape the audiences' cognition toward entities in favor of a certain political party or authority. Furthermore, it has become part of modern information warfare used in order to gain an advantage over opponents. Most of the current studies focus on using machine learning, quantitative, and qualitative methods to distinguish if a certain piece of information on social media is propaganda. Mainly conducted on English content, but very little research addresses Chinese Mandarin content. From propaganda detection, we want to go one step further to provide more fine-grained information on propaganda techniques that are applied. In this research, we aim to bridge the information gap by providing a multi-labeled propaganda techniques dataset in Mandarin based on a state-backed information operation dataset provided by Twitter. In addition to presenting the dataset, we apply a multi-label text classification using fine-tuned BERT. Potentially this could help future research in detecting state-backed propaganda online especially in a cross-lingual context and cross platforms identity consolidation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
