探討Covid-19期間中國戰狼外交官的推特貼文之情感極化效果

Exploring the Sentiment Polarization Effects of Chinese Wolf Warrior Diplomats' Tweets During Covid-19

林萱柔(Shuan-rou LIN) ； 陳怡全(Yi-chuan CHEN) ； 傅文成(Wen-cheng FU)

《復興崗學報》 122期 (2023/06) Pp. 155-198

摘要

本研究蒐集中國外交官華春瑩與趙立堅於2020年至2021年新冠疫情盛行期間推文，透過情緒分析工具，檢驗中國外交官運用推特平台影響網民情緒之效果。本研究理論貢獻在於量化以情緒分析方法驗證並量化戰狼推文對網民情緒之影響，研究發現當涉及「新疆人權相關議題」時情緒最為負面，且推文確實會造成網民情緒極化現象，呼應現有政治精英不文明發言會影響網民態度極化相關研究，最後呼應中國領導人習近乎主政以來各項對外宣傳的指導方針，藉由掌握媒介資源與搶佔國際話語權，達到引導輿論之效果。

關鍵字

情緒分析 ； 推特 ； 新冠疫情 ； 戰狼外交 ； 隱含狄利克雷分布

並列摘要

This study collected Chinese diplomats Chunying Hua's and Lijian Zhao's tweets during the COVID-19 pandemic from 2020 to 2021 and employed sentiment analysis to examine the effect of Chinese diplomats' use of Twitter on influencing netizens' emotions. The theoretical contribution of this research is to test and quantify the impact of Wolf Warrior tweets on netizens' emotions by utilizing sentiment analysis. The results showed that when the topic involves "Xinjiang human rights related issues," the sentiments are the most negative, and the tweets indeed results in the emotional polarization of netizens. The current study echoes the research on the influence of uncivilized speeches by political elites on the polarization of netizens' attitudes. Finally, it also echoes the guidelines of various foreign publicity since the Chinese leader Xi Jinping came to power; that is, to model public opinion by mastering media resources and seizing the right to speak internationally.

並列關鍵字

sentiment analysis ； Twitter ； Covid-19 ； wolf warrior diplomacy ； Latent Dirichlet Allocation (LDA)