Flash mobs, Arab Spring and protest movements: Can we analyse group identities in online conversations?

Flash mobs, Arab Spring and protest movements: Can we analyse group identities in online conversations?
复制标题

快闪族、阿拉伯之春和抗议运动:我们可以分析在线对话中的群体身份吗?

DOI:
10.1016/j.eswa.2016.06.023
复制
发表时间:
2016
影响因子:
8.5
通讯作者:
Criado N
Criado N
中科院分区:
计算机科学1区
文献类型:
--
作者:
Criado N

文献摘要

参考文献

被引文献

相似文献

互联网为人们提供了新的方式来表达他们的个性,也为他们的集体,即他们的群体关系提供了表达方式。这些群体身份是对一个群体的共同归属感。与拥有相同群体身份的其他人在线联系可以导致合作,甚至在线上和线下的社会行动倡议的协调。这种社会行动可能是为了积极的变化,例如2010年的阿拉伯之春,也可能是为了破坏性的,例如2011年的英格兰骚乱。文体学和作者归属研究表明,根据个人的在线语言来区分个人是可能的。相反,这项工作提出并评估了一个基于群体间文本对话的在线群体身份分析模型。我们认为,文本特征可以自动区分不同的群体身份,并检测群体身份在特定对话的语境中是否突出(即最突出)。实验结果表明,该方法能够以95%的正确率检测出群体身份的显著,以84%的正确率将群体身份与其他群体身份区分开来。我们还确定了最相关的功能,这些功能可能会使不良行为者能够操纵在线群组的行为。这对在网上推动积极的社会行动或保护社会免受破坏性举措的影响的工具和技术具有重大影响。与此同时,它对隐私构成了挑战,因为它有可能说服或劝阻在线上的大型群体将言辞转化为行动。
The Internet has provided people with new ways of expressing not only their individuality but also their collectivity i.e., their group affiliations. These group identities are the shared sense of belonging to a group. Online contact with others who share the same group identity can lead to cooperation and, even, coordination of social action initiatives both online and offline. Such social actions may be for the purposes of positive change, e.g., the Arab Spring in 2010, or disruptive, e.g., the England Riots in 2011. Stylometry and authorship attribution research has shown that it is possible to distinguish individuals based on their online language. In contrast, this work proposes and evaluates a model to analyse group identities online based on textual conversations amongst groups. We argue that textual features make it possible to automatically distinguish between different group identities and detect whether group identities are salient (i.e., most prominent) in the context of a particular conversation. We show that the salience of group identities can be detected with 95% accuracy and group identities can be distinguished from others with 84% accuracy. We also identify the most relevant features that may enable mal-actors to manipulate the actions of online groups. This has major implications for tools and techniques to drive positive social actions online or safeguard society from disruptive initiatives. At the same time, it poses privacy challenges given the potential ability to persuade or dissuade large groups online to move from rhetoric to action.
DOI: 10.1109/mc.2013.68
发表时间: 2013
期刊: Computer
影响因子: 2.2
作者:
Rashid A
通讯作者: Rashid A
DOI: 10.1002/asi.v60:3
发表时间: 2009-03
影响因子: 3.5
作者:
N. Shibata;Y. Kajikawa;Y. Takeda;K. Matsushima
通讯作者: N. Shibata;Y. Kajikawa;Y. Takeda;K. Matsushima
DOI: 10.1177/0022002705279336
发表时间: 2005
影响因子: 3.1
作者:
David L. Rousseau;A. M. van der Veen
通讯作者: A. M. van der Veen
了解社交媒体中可操作的知识:BBC 问答时间和 Twitter,案例研究
DOI: --
发表时间: 2012
期刊: Sixth International AAAI Conference on Weblogs and Social Media (ICWSM 2012)
影响因子: --
作者:
Ferrario, M
通讯作者: Ferrario, M
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者:
Christopher G. Hankin
通讯作者: Christopher G. Hankin