没有证据表明一系列人工监测线索会影响MTurk样本中对慈善机构的在线捐赠。
No evidence that a range of artificial monitoring cues influence online donations to charity in an MTurk sample.
作者信息
Saunders Timothy J, Taylor Alex H, Atkinson Quentin D
机构信息
School of Psychology , University of Auckland , Auckland , New Zealand.
出版信息
R Soc Open Sci. 2016 Oct 19;3(10):150710. doi: 10.1098/rsos.150710. eCollection 2016 Oct.
Monitoring cues, such as an image of a face or pair of eyes, have been found to increase prosocial behaviour in several studies. However, other studies have found little or no support for this effect. Here, we examined whether monitoring cues affect online donations to charity while manipulating the emotion displayed, the number of watchers and the cue type. We also include as statistical controls a range of likely covariates of prosocial behaviour. Using the crowdsourcing Internet marketplace, Amazon Mechanical Turk (MTurk), 1535 participants completed our survey and were given the opportunity to donate to charity while being shown an image prime. None of the monitoring primes we tested had a significant effect on charitable giving. By contrast, the control variables of culture, age, sex and previous charity giving frequency did predict donations. This work supports the importance of cultural differences and enduring individual differences in prosocial behaviour and shows that a range of artificial monitoring cues do not reliably boost online charity donation on MTurk.
在多项研究中发现，诸如人脸或双眼图像等监测线索能够增加亲社会行为。然而，其他研究几乎没有发现这种效应的支持证据或根本没有发现支持证据。在此，我们研究了监测线索在操纵所显示的情感、观看者数量和线索类型的同时，是否会影响在线慈善捐赠。我们还纳入了一系列亲社会行为可能的协变量作为统计控制变量。利用众包互联网市场亚马逊土耳其机器人（MTurk），1535名参与者完成了我们的调查，并在观看图像启动刺激时获得了向慈善机构捐款的机会。我们测试的所有监测启动刺激对慈善捐赠均无显著影响。相比之下，文化、年龄、性别和以往慈善捐赠频率等控制变量确实能够预测捐赠情况。这项研究支持了文化差异和持久的个体差异在亲社会行为中的重要性，并表明一系列人为的监测线索并不能可靠地促进MTurk上的在线慈善捐赠。
Zotero 插件