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：本研究对皮尤研究中心“美国趋势面板”系列调查收集的数据进行了二次数据分析。采用逻辑回归模型，探究分享风险感知、对推特问题的认知以及使用推特的动机对用户后悔在推特上分享行为的可能性影响。逻辑回归模型具有统计显著性，χ²(15)=102.5，p<0.001。该模型正确分类了78.5%的案例。推特用户是否后悔在推特上分享取决于其使用推特的不同动机。我们观察到，“表达个人观点的方式”这一动机在模型中具有统计显著性，表明因该动机而分享的推特用户后悔的可能性是娱乐动机用户的2.1倍。潜在敌意和可见性风险感知与后悔分享的可能性呈负相关。相反，推特上关于错误信息的问题认知与后悔分享的可能性也呈负相关。