Who interacts on the Web?: The intersection of users' personality and social media use

Who interacts on the Web?: The intersection of users' personality and social media use
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DOI:
10.1016/j.chb.2009.09.003
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发表时间:
2010-03-01
影响因子:
9.9
通讯作者:
de Zuniga, Homero Gil
de Zuniga, Homero Gil
中科院分区:
心理学1区
文献类型:
--
作者:
Correa, Teresa;Hinsley, Amber Willard;de Zuniga, Homero Gil

文献摘要

被引文献

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在日益由用户生成的网络中,用户的个性特征可能是引导他们参与这种参与性媒体的关键因素。文献表明,外向性、情绪稳定性和开放性等因素与互联网社交应用程序的使用有关。这项研究使用美国成年人的全国样本,调查了大五模型的这三个维度与社交媒体使用(定义为社交网站和即时消息的使用)之间的关系。它还研究了性别和年龄是否在这种动态中发挥了作用。结果显示,虽然外向性和对经历的开放性与社交媒体的使用呈正相关,但情绪稳定性是一个负面预测因素,控制了社会人口统计和生活满意度。这些发现因性别和年龄而异。虽然外向的男性和女性都可能更频繁地使用社交媒体工具,但只有情绪不稳定程度较高的男性才是更频繁的用户。外向性和社交媒体使用之间的关系在年轻人中尤为重要。相反,对于更成熟的样本群体来说,对新体验持开放态度成为社交媒体使用的重要性格预测因素。 (C) 2009 Elsevier Ltd. 保留所有权利。
in the increasingly user-generated Web, users' personality traits may be crucial factors leading them to engage in this participatory media. The literature suggests factors such as extraversion, emotional stability and openness to experience are related to uses of social applications on the Internet. Using a national sample of US adults, this study investigated the relationship between these three dimensions of the Big-Five model and social media use (defined as use of social networking sites and instant messages). It also examined whether gender and age played a role in that dynamic. Results revealed that while extraversion and openness to experiences were positively related to social media use, emotional stability was a negative predictor, controlling for socio-demographics and life satisfaction. These findings differed by gender and age. While extraverted men and women were both likely to be more frequent users of social media tools, only the men with greater degrees of emotional instability were more regular users. The relationship between extraversion and social media use was particularly important among the young adult cohort. Conversely, being open to new experiences emerged as an important personality predictor of social media use for the more mature segment of the sample. (C) 2009 Elsevier Ltd. All rights reserved.