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人们在网上做什么:大规模的浏览行为研究

Who Does What on the Web: A Large-Scale Study of Browsing Behavior
课程网址: http://videolectures.net/icwsm2012_mason_web/  
主讲教师: Winter Mason
开课单位: 史蒂文斯理工学院
开课时间: 2012-07-06
课程语种: 英语
中文简介:
随着网络融入日常生活,了解个人如何在网上花费时间会影响从公共政策到营销的各个领域。然而,由于规模和范围的限制,很难通过传统方法测量浏览行为的简单方面,包括调查和站点级分析。在部分解决这些限制的过程中,大规模Web面板数据是用于调查Internet使用模式的相对新颖的手段。在迄今为止最大的浏览行为研究之一中,我们将250,000个匿名个体的Web历史与用户级人口统计(包括年龄,性别,种族,教育和收入)配对,以调查三个主题。首先,我们研究了个人在网上花费更多时间时行为如何变化,表明最重的用户投入的时间几乎是社交媒体的两倍,而不是典型的个人。其次,我们重新审视数字鸿沟,发现个人转向网络进行研究,新闻和医疗保健的频率与教育背景密切相关,但与性别和种族没有密切关系。最后,我们证明浏览历史是推断用户属性(包括种族和家庭收入)的强烈信号,这一结果可用于改善广告定位。
课程简介: As the Web has become integrated into daily life, understanding how individuals spend their time online impacts domains ranging from public policy to marketing. It is difficult, however, to measure even simple aspects of browsing behavior via conventional methods---including surveys and site-level analytics---due to limitations of scale and scope. In part addressing these limitations, large-scale Web panel data are a relatively novel means for investigating patterns of Internet usage. In one of the largest studies of browsing behavior to date, we pair Web histories for 250,000 anonymized individuals with user-level demographics---including age, sex, race, education, and income---to investigate three topics. First, we examine how behavior changes as individuals spend more time online, showing that the heaviest users devote nearly twice as much of their time to social media relative to typical individuals. Second, we revisit the digital divide, finding that the frequency with which individuals turn to the Web for research, news, and healthcare is strongly related to educational background, but not as closely tied to gender and ethnicity. Finally, we demonstrate that browsing histories are a strong signal for inferring user attributes, including ethnicity and household income, a result that may be leveraged to improve ad targeting.
关 键 词: 社交媒体; 数字鸿沟; 浏览行为
课程来源: 视频讲座网
最后编审: 2019-04-27:lxf
阅读次数: 48