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An empirical study of a social network site: Exploring the effects of social capital and information disclosure

机译:社交网站的实证研究:探索社交资本和信息披露的影响

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With theoretical bases in information self-disclosure and social capital, this study investigates what factors predict increased comments and favorites in a photography-related social network site. A content analysis of 558 photos on Flickr's Explore page, as well as the analogous photographer profile pages, resulted in a rich data set on photographic characteristics, as well as indicators of information self-disclosure and-social capital. Regression analysis indicated that, when controlling for photographic characteristics and other independent variables, photo comments and photo favorites were positively correlated with one another, three social capital indicators were positively associated with the two dependent variables (i.e., photo comments and favorites), and indicators of information self-disclosure were positive predictors in two cases. These findings are considered in regards to theory on social capital and information self-disclosure and, more broadly, on how social network sites function. (C) 2015 Elsevier Ltd. All rights reserved.
机译:借助信息自我披露和社会资本的理论基础,本研究调查了哪些因素可预测与摄影相关的社交网站中的评论和收藏夹增加。在Flickr的“浏览”页面以及类似的摄影师个人资料页面上对558张照片进行了内容分析,得出了关于摄影特征的丰富数据集,以及信息自我披露和社会资本的指标。回归分析表明,在控制照片特性和其他自变量时,照片评论和照片收藏夹彼此正相关,三个社会资本指标与两个因变量(照片评论和收藏夹)正相关,并且指标信息自我披露的信息是两个案例的积极预测因素。这些发现被认为是关于社会资本和信息自我披露的理论,更广泛地说是关于社交网站如何运作的理论。 (C)2015 Elsevier Ltd.保留所有权利。

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