This study presents a secondary data analysis of the survey data collected as part of the American Trends Panel series by the Pew Research Center. A logistic regression was performed to ascertain the effects of the perceived risk of sharing, perceived problems on Twitter, and motivation of using Twitter on the likelihood that participants regret sharing on Twitter. The logistic regression model was statistically significant, \c{hi}2(15) = 102.5, p < .001. The model correctly classified 78.5 percent of cases. Whether or not Twitter users regret sharing on Twitter depends on different motivations for using Twitter. We observe that "A way to express my opinion" is statistically significant in the mod-el, indicating that the odds of Twitter users regretting sharing for this motivation is 2.1 times higher than that of entertainment. Perceived risks of potential hostility and visibility were negatively associated with an increased likelihood of regret sharing. In contrast, perceived problems on Twitter concerning misinformation were negatively associated with the likelihood of regret sharing.
翻译:这项研究对作为皮尤研究中心的美国趋势小组系列的一部分收集的调查数据进行了二级数据分析; 进行了后勤回归,以确定所察觉的分享风险、Twitter上遇到的问题和使用Twitter的动机对参与者在Twitter上后悔分享的可能性产生的影响; 后勤回归模式具有统计意义,=102.5, p <.001. 模型正确地对78.5%的案件进行了分类; 推特用户在Twitter上后悔分享是否取决于使用Twitter的不同动机。 我们认为,“表达我的意见的方式”在模式中具有统计意义,表明Twitter用户对分享这一动机表示遗憾的可能性比娱乐的可能性高2.1倍。 潜在敌意和可见度的风险与分享遗憾的可能性增加有负联系。 相反,在Twitter上发现的关于错误的问题与分享遗憾的可能性有负联系。</s>