Computational Communication Studies in Chineseand English: Issues, Methods and Theories
引用次数: 0
Abstract
以中西方新闻传播学领域重要学术期刊为来源,本研究从“议题”“方法”“理论”三个维度对2022年计算传播研究进行了系统回顾,并比较了中西方文献侧重点的异同。研究发现,在议题选择上,政治传播是中西方学者共同关注的热门领域,此外,英文文献对疫情、新闻业领域的研究注意力较高。研究方法层面,新浪微博则构成中文文献的主要数据来源。英文文献中,Twitter、Facebook和新闻报道是最主流的数据来源,也出现跨平台获取数据以及大小数据结合的前沿研究。语义分析、网络分析和情感分析是中英文文献都常用的计算方法,视觉分析和仿真模拟得到初步应用,西方文献开始引入屏幕组学的研究方法。中英文计算通信研究：问题、方法与理论
Taking important academic journals in the field of journalism and communication in both China and the West as sources, this study conducted a systematic review of computational communication research in 2022 from three dimensions: "topic", "method", and "theory", and compared the similarities and differences in the focus of literature in China and the West. Research has found that political communication is a hot topic of common concern among Chinese and Western scholars in topic selection. In addition, English literature has a high level of research attention in the fields of the epidemic and the news industry. At the research methodology level, Sina Weibo constitutes the main source of data for Chinese literature. In English literature, Twitter, Facebook, and news reports are the most mainstream sources of data, and there have also been cutting-edge research on cross platform data acquisition and the combination of big and small data. Semantic analysis, network analysis, and sentiment analysis are commonly used computational methods in both Chinese and English literature. Visual analysis and simulation have been preliminarily applied, and Western literature has begun to introduce the research methods of screen omics.
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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