He votes or she votes? Female and male discursive strategies in Twitter political hashtags.
He votes or she votes? Female and male discursive strategies in Twitter political hashtags.
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DOI：
10.1371/journal.pone.0087041
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Almeida V
中科院分区：
文献类型：
--
作者：
Cunha E;Magno G;Gonçalves MA;Cambraia C;Almeida V
在本文中，我们进行了一项研究，女性和男性的话语策略之间的差异时，在微博服务Twitter上发布，特别是在政治辩论中的标签指定过程中的重点。事实上，男性和女性以不同的方式使用语言，反映了与他们在社会群体中的预期角色有关的做法，这是一种已知发生在几种文化中的语言现象，现在可以在网络和在线社交网络上进行大规模的研究。例如，在分析巴西总统竞选期间发布的包含政治内容的推文后，我们发现男性Twitter用户在表达对特定候选人的态度时，更倾向于在主题标签中使用祈使式口头形式，而女性用户则倾向于使用陈述式形式。这种差异可以被解释为与其他网络成员相关的不同方法的标志：例如，如果政治标签被视为Twitter中的说服策略，那么命令式标签可以被理解为更公开的说服方式，而声明式标签则被理解为更间接的方式。我们的研究结果有助于理解人类在社交网络中的性别行为，并有助于计算机支持的互联网语言学和社会计算的新领域的研究，除了是有用的几个计算任务，如开发标签推荐系统的基础上用户的集体偏好和定制有针对性的广告策略，等等。
In this paper, we conduct a study about differences between female and male discursive strategies when posting in the microblogging service Twitter, with a particular focus on the hashtag designation process during political debate. The fact that men and women use language in distinct ways, reverberating practices linked to their expected roles in the social groups, is a linguistic phenomenon known to happen in several cultures and that can now be studied on the Web and on online social networks in a large scale enabled by computing power. Here, for instance, after analyzing tweets with political content posted during Brazilian presidential campaign,we found out that male Twitter users, when expressing their attitude toward a given candidate, are more prone to use imperative verbal forms in hashtags, while female users tend to employ declarative forms. This difference can be interpreted as a sign of distinct approaches in relation to other network members: for example, if political hashtags are seen as strategies of persuasion in Twitter, imperative tags could be understood as more overt ways of persuading and declarative tags as more indirect ones. Our findings help to understand human gendered behavior in social networks and contribute to research on the new fields of computer-enabled Internet linguistics and social computing, besides being useful for several computational tasks such as developing tag recommendation systems based on users' collective preferences and tailoring targeted advertising strategies, among others.
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DOI：
10.1080/00437956.1958.11659655
发表时间：
1958-01-01
影响因子：
0.6
作者：
FISCHER, JL
通讯作者：
FISCHER, JL
影响因子：
3.1
作者：
Guadagno, RE;Cialdini, RB
通讯作者：
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影响因子：
5
作者：
ANDREWS, PH
通讯作者：
ANDREWS, PH
影响因子：
1.9
作者：
Herring, Susan C.;Paolillo, John C.
通讯作者：
Paolillo, John C.
影响因子：
5
作者：
Larsson, Anders Olof;Moe, Hallvard
通讯作者：
Moe, Hallvard