基于微博内容分析的高校图书馆网络形象研究——以厦门大学图书馆新浪微博为例

The Image of Xiamen University Library on Sina Microblog: A Content Analysis Approach

随着网络社交工具的普及,越来越多的高校图书馆利用微博展示和提升其网络形象,但对微博到底能呈现出何种形象却少有研究。本文采用内容分析方法,以较为具有代表意义的厦门大学图书馆新浪微博作为个案研究对象,获取了其12个月的微博内容文本作为分析样本,提取出相应的高频词汇并构建起共词网络,以此勾勒出厦门大学图书馆微博网络形象并试图一窥高校图书馆微博形象的全貌。本文研究结果表明:厦门大学图书馆微博对外所呈现的是以认知形象为主,而情感形象展示略显薄弱。据此本文提出了相应的改进措施和建议。

Many libraries are using microblogs to show good network images. We selected Xiamen University library as a case study. The text of microblogs within 12 months was crawled using Goo Seeker, and the high-frequency words with the semantic network were established using ROST CM 6.0. A content analysis result shows that the image of Xiamen University library on Sina microblogs can be categorized into cognitive image and emotional image. Comparing to cognitive image, including good facility and atmosphere, high-quality resources recommendation, rich activities broadcasting, and high-quality information services. the emotional image is underesti-mated.