Classifying and coding online actions
Classifying and coding online actions
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DOI：
10.1177/0894439303262560
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发表时间：
2004-06-01
影响因子：
4.1
通讯作者：
Hargittai, E
中科院分区：
文献类型：
--
作者：
Hargittai, E
关于互联网如何在人群中传播的研究已经从谁使用媒体的问题扩大到人们在上网期间做什么的问题。随着关注点的改变，人们需要更详细的网络行为数据。提出了一种对用户在线信息搜索行为进行编码和分类的方法。作者给出了用户可以到达网页的方式的详尽列表。建议的方法包括足够多的细微差别的信息，以区分不同的搜索操作和链接。从整体上讲，编码方案使您只需查看包含本文提出的信息的电子表格，即可了解有关用户操作序列的许多细节。作者还通过对100名随机选择的互联网用户的信息寻找行为的研究结果，证明了这种编码和分类方案的实用性。
Research on how the Internet is diffusing across the population has broadened from questions about who uses the medium to what people do during their time online. With this change in focus comes a need for more detailed data on people's online actions. The author provides a method for coding and classifying users' online information-seeking behavior. The author presents an exhaustive list of ways in which a user may arrive at a web page. The proposed methodology includes enough nuanced information to distinguish among different search actions and links. In its entirety, the coding scheme makes it possible to understand many details about the users' sequence of actions simply by looking at the spreadsheet containing the information proposed in this article. The author also demonstrates the utility of this scheme with findings from a study on the information-seeking behavior of 100 randomly selected Internet users to exemplify the utility of this coding and classification scheme.