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Online products and consumers: Partisan ratings and mechanisms for affective polarization

机译:在线产品和消费者:Partisan评级和情感极化的机制

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摘要

Star ratings play major roles in informing consumer decisions on major e-commerce sites such as Amazon.com. When people evaluate political books, for example, they might gauge whether star rating favorability scores align with their pre-existing political attitudes. The attitudinal stance of these online cues could invariably trigger responses that worsen the affective divide between partisans. However, few studies have identified and explained the mechanisms underlying affective polarization. Using two online experiments, we examine the mechanisms through which ratings induce affective polarization. Findings support warranting theory by consistently showing that counter-attitudinal ratings indirectly drive up affective polarization by increasing positive inparty affect via perceived manipulation. By contrast, pro-attitudinal star ratings polarize by increasing positive in-party affect through perceived in-party prototypicality. These findings challenge assumptions that affective polarization is solely characterized by negative out-party affect, and driven mainly by exposure to counter-attitudinal information.
机译:星级评级在向消费者决策(如Amazon.com等主要电子商务网站)上发挥着重要作用。例如,当人们评估政治书籍时,他们可能会衡量明星评级的有利性分数是否与其预先存在的政治态度保持一致。这些在线提示的态度可以总是触发偏离党内情感划分的反应。然而,已经确定了很少的研究,并解释了情感极化的基础机制。使用两个在线实验,我们研究了评级诱导情感极化的机制。调查结果通过一致表明通过感知操纵增加积极的影响,对抗态度评级间接引起情感极化。相比之下,通过在党派的典型原型中增加积极的党派影响,促态态星等级极化。这些调查结果挑战了情感极化的假设仅仅以负面划派影响为特征,并且主要通过暴露于反态信息来驱动。

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