Mining social media: issues and challenges

Huan Liu
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引用次数: 2

Abstract

The prevalence of social media offers a new kind of laboratory for behavioral study. In the era of the social Web, we are presented with unparalleled opportunities and novel challenges. In this talk, we will use some of our recent studies of human behavior to illustrate our endeavors to improve the understanding of human behaviors in social media. We explore how one can efficiently gauge what's happening in social media with an inordinate number of groups and growing; inquire whether one can disentangle the complicated connections among users to find their group memberships; look into user migration patterns in the presence of seemingly unlimited choices of social media services; and investigate ways of exploiting vulnerability to protect user privacy on a social networking site. We can benefit significantly from extant sociological theories and methodologies in carrying out interdisciplinary research that sheds lights in mining social media. The improved understanding of human behavior can help develop social media services that encourage more user participation with better experience in growing social media activities.
挖掘社交媒体:问题和挑战
社交媒体的流行为行为研究提供了一种新的实验室。在社交网络时代,我们面临着前所未有的机遇和新的挑战。在这次演讲中,我们将使用我们最近对人类行为的一些研究来说明我们为提高对社交媒体中人类行为的理解所做的努力。我们将探讨如何有效地衡量社交媒体上正在发生的事情,因为社交媒体上的群体数量过多,而且还在不断增长;询问是否可以解开用户之间复杂的联系,找到他们的群组成员;在社交媒体服务似乎有无限选择的情况下,研究一下用户迁移模式;并研究如何利用漏洞来保护社交网站上的用户隐私。我们可以从现有的社会学理论和方法中受益匪浅,开展跨学科研究,为挖掘社交媒体提供启示。对人类行为的更好理解可以帮助开发社交媒体服务,鼓励更多的用户参与,在不断增长的社交媒体活动中获得更好的体验。
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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