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A self-efficacy informed approach to anonymously locating digital disruptors

机译：一种自我效能知情的方法来匿名定位数字破坏者

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Young, politically motivated, and technologically savvy individuals have been instrumental in bringing about social change through the first decades of the twenty-first century. These tech-savvy “disruptors” anonymously champion counter-hegemonic discourse and ideology by manipulating networked forms of communication. The shielding effects of these anonymous interactions also pose significant challenges for the observation and study of disruptors. The current study proposes that elements of the theory of self-efficacy, particularly mastery experiences, can be leveraged to anonymously locate disruptors from a generalized sample based on their. It employs an adapted version of the Computer Self-Efficacy Scale with a large non-random sample to test this hypothesis. Principal component analysis of the scale identifies three components in the scale — “simple,” “moderate,” and “difficult” task efficacy — that account for a majority of the variation in the sample. Components are then compared with other measures of technological skill and internet usage characteristics to better confirm the scale’s effectiveness in locating disruptors.
机译：年轻，具有政治动机和技术精明的人在二十一世纪的头几十年中一直在促进社会变革。这些精通技术的“颠覆者”通过操纵网络交流形式来匿名拥护反霸权话语和意识形态。这些匿名交互的屏蔽作用也对破坏者的观察和研究提出了重大挑战。当前的研究提出，可以利用自我效能感理论的要素，尤其是掌握经验，从基于其的广义样本中匿名定位破坏者。它采用了计算机自我效能感量表的改编版，其中包含大量非随机样本以检验该假设。量表的主成分分析确定了量表中的三个成分-“简单”，“中度”和“困难”任务效率-占样本中大部分差异。然后，将组件与其他技术技能和互联网使用特征的度量进行比较，以更好地确认秤在定位干扰源方面的有效性。

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