歷期出版
頁數:67 ﹣114
外交新常態?以主題及網絡建模技術探索中共 Twitter 外交的 戰狼溝通策略
Does a new normal in diplomacy? Exploring the Wolf Warrior Communication Strategy of CCP’s Twitter Diplomacy Using Topic and Network Modeling Technology
社會網絡分析、庫博語料庫、推特外交、機器學習、戰狼外交
social network analysis, CORPRO, Twitter diplomacy, machine learning, wolf warrior diplomacy
本研究通過 BERT 深度學習、LDA、SNA 技術，先後對中共外交官的 Twitter 推 文完成文本分類及主題、網絡建模等任務，從而探索中共 Twitter 外交的主題論述與溝 通策略。研究發現，戰狼溝通策略尚未成為外交工作的常態，現階段仍屬因勢制宜的 戰術調用，具有選擇性、針對性及目的性。但凡涉及對美鬥爭，中共多會出於鞏固政 權考量，靈活調用謊言、種族滅絕等戰狼溝通策略，主題集中於人權、主權、防疫、 治彊等議題。理論意涵方面，中共領導人把更多注意力放在國內挑戰上，Twitter 外交 呼應喉舌論，服膺黨的利益。就外交脈絡論，戰狼外交會否延續或常態化，主要取決 於美國態度。故評估其發展趨勢，須將焦點從習近平領導風格轉向美國因素。本研究 亦在方法上，驗證了 BERT 做為文本探勘工具的適用性。
This program used BERT deep-learning, LDA, and SNA analysis to explore Twitter communication strategies of China diplomats for classified topics modeling. The results indicated that “wolf warrior” diplomacy does not support the primary content strategy. The China government used wolf warrior diplomacy within some specific entities, including international affairs related to the United States, human rights issues, sovereignty, Cov- 19 virus control, and Xinjiang-related affairs. Regarding theoretical implications, this study provided two primary findings. First, the research showed that communication strategies on social media such as Twitter were attributed to the main themes of the central China government. Further, the United States’ diplomacy attitudes were a critical factor in influencing the use of wolf warrior diplomacy. This program also demonstrated the availability of using the BERT deep learning approach to address text mining research.