国际社交媒体平台上的中国科学形象研究――基于推特平台的数据

Image of China Science on International Social Media Platform——Based on Data from Twitter

在国际科技竞争日益激化、我国科技实力迅速腾飞的当下,国家科学形象日益成为国家形象立体化过程中不可忽视的重要组成部分。通过对国际社交媒体推特平台上有关中国科学相关议题讨论的分析发现,西方公众目前对于中国科学类相关议题的关注度并不高,讨论由少量的主要科学事件主导,明显受到了西方主流新闻媒体与政治话语力量的引导与掌控,且认知偏向于负面。这种负面形象的“他塑”建构在一定程度上被卷入政治话语与国际关系话语体系中,表征为对中国负面科技新闻的报道及阴谋论的关注。而正面积极的科学形象则更多表征为“去政治化”语境下,对中国突破性科学成果与获得国际科学奖项科学家的赞赏,以及对于中国科幻的格外关注。对此,提升中国国际科学形象需要在重视社交媒体平台这一舆论场域的基础上,结合研究结果,制定具有针对性的对外科技传播策略。

With the increasingly intensified international competition in science and technology and rapidly development of science and technology in China,the national science image has increasingly become an important part of the whole national image that cannot be ignored.Through the analysis of discussions on Chinese science-related topics on Twitter,the international social media platform,it is found that the Western public’s current attention to Chinese science-related topics is not high,while it continues to grow.The discussions around Chinese science-related topics are dominated by a small number of major scientific events,and are obviously guided and controlled by the power of mainstream Western news media and political discourse,and the main cognition is biased towards the negative.Moreover,the construction of such negative image of Chinese science has been involved in the political discourse and international relations to a certain extent,characterized by concerns about reports of negative Chinese tech news and conspiracy theories.The positive image of Chinese science is more characterized by the appreciation of China’s breakthrough scientific achievements and scientists who have won international scientific awards and the special attention to Chinese science fiction in the context of“depoliticization”.In this regard,to enhance China’s international science image,it is necessary to formulate targeted international science and technology communication strategies based on paying attention to the social media platform as a public opinion field and combining the research results.