A conceptual replication examining the risk of overtly listing eligibility criteria on Amazon’s Mechanical Turk

Siegel Jason T.; Navarro Mario

摘要

Abstract >Recent scholarship indicates that explicitly listing eligibility requirements on Amazon’s Mechanical Turk can lead to eligibility falsification. Offering a conceptual replication of prior studies, we assessed the prevalence of eligibility falsification and its impact on data integrity. A screener survey collected the summer before the 2016 presidential election assessed political affiliation. Participants were then randomly assigned to be exposed to a second survey link for which they were eligible or ineligible. There was a significant interaction such that the differences between self‐reported Republicans and Democrats on outcome measures (e.g., attitudes toward Hillary Clinton), were smaller among participants that were falsifying eligibility (i.e., imposters) than those that were not (i.e., genuine participants). Moreover, for most outcomes, imposters put forth responses that were significantly different from the responses put forth by those in the political party with which imposters were pretending to be affiliated. Imposters’ responses were also significantly different from participants in the political party with which imposters initially claimed to genuinely belong. For example, those who self‐reported themselves as Democrats on the screener survey but responded to a survey for “only Republicans” (i.e., imposter Republicans), reported more favorable attitudes toward Donald Trump than genuine Democrats, but indicated less favorable attitudes toward Donald Trump than genuine Republicans. These results highlight the potential harms of explicitly listing eligibility requirements and emphasize the importance of minimizing imposter participation. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract Type =“Main”XML：ID =“JASP12580-ABS-0001”XML：Lang =“en”> <标题类型=“main”>抽象</ title> >最近的奖学金表示明确列出资格要求在亚马逊的机械土耳其人可以导致资格伪造。提供先前研究的概念复制，我们评估了资格伪造的普遍性及其对数据完整性的影响。 2016年总统选举评估政治联系之前，夏季收集了筛选调查。然后随机分配参与者接触到他们符合条件或不合格的第二次调查链接。有一个重要的互动，使自我报告的共和党人和民主党人之间的差异（例如，对希拉里克林顿的态度）伪造了资格（即冒名参加）的参与者比没有（即真实参与者）。此外，对于大多数结果而言，驾驶员提出了与由奥克斯特认为附属的政党提出的政党提出的反应有关的反应。转盘的反应也与政党的参与者显着不同，因为启动者最初申请真正属于。例如，那些自我报告的人作为筛选者调查的民主党人，而是对“只有共和党人”（即拨打共和党人）的调查作出回应，报告了对唐纳德特朗普比真正民主人士更有利的态度，但表明对唐纳德的态度不太有利态度特朗普比真正的共和党人。这些结果突出了明确列出资格要求的潜在危害，并强调最大限度地减少冒名转让参与的重要性。</ p> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-33620/'>《Journal of applied social psychology》</a> <b style="margin: 0 2px;">|</b><span>2019年第4期</span><b style="margin: 0 2px;">|</b><span>共10页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Siegel Jason T.&option=202" target="_blank" rel="nofollow">Siegel Jason T.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Navarro Mario&option=202" target="_blank" rel="nofollow">Navarro Mario;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>School of Social Science Policy &</p> <p>EvaluationClaremont Graduate UniversityClaremont California;</p> <p>School of Social Science Policy &</p> <p>EvaluationClaremont Graduate UniversityClaremont California;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span>B849:C91; </span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> </p> </li> </ul> </div> </div> <div class="literature cardcommon" id="literaturereference" style="display:none"> <div 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