Tracking opinion convergence online

IF 1.1 Q3 COMMUNICATION
M. Terkourafi, Sarah A. Lord
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引用次数: 0

Abstract

We investigate whether facial attractiveness, as one source of positive/negative attitudes towards one’s conversational partner, affects the degree and type of opinion convergence online, even in the absence of physical co-presence. Our hypothesis is that when you interact with someone you find attractive, opinion convergence will occur even if you are not physically co-present with them. Additionally, we tracked different types of opinion convergence (one-sided or mutual) and how convergence is linguistically negotiated in these different circumstances. Our hypothesis was confirmed, to a point. Opinion convergence was most frequent among Attracted pairs; however, opinion convergence was greatest among Neutral pairs. Opinion convergence was qualitatively different in the 3 conditions. This research adds to previous studies which highlighted aspects of communication unique to online environments (anonymity, invisibility) to explain the heightened tendency for face-threatening behaviours to occur online, by showing how implicit biases (operationalized here as facial attractiveness) can be an additional factor influencing online behaviour.
在线跟踪意见趋同
我们调查了面部吸引力,作为对谈话对象的积极/消极态度的一个来源,是否会影响在线意见融合的程度和类型,即使在没有实际在场的情况下。我们的假设是,当你与你觉得有吸引力的人互动时,即使你没有和他们一起在场,意见也会趋同。此外,我们还追踪了不同类型的意见趋同(片面或相互),以及在这些不同的情况下,趋同是如何在语言上进行协商的。在某种程度上,我们的假设得到了证实。观点趋同在被吸引的配对中最为频繁;然而,中性伴侣的意见趋同程度最高。意见趋同在3种情况下存在质的差异。这项研究补充了之前的研究,这些研究强调了网络环境中独特的交流方面(匿名性、不可见性),通过展示内隐偏见(在这里被操作为面部吸引力)如何成为影响网络行为的另一个因素,来解释在线上发生威胁面部行为的增加趋势。
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来源期刊
Internet Pragmatics
Internet Pragmatics Arts and Humanities-Language and Linguistics
CiteScore
3.30
自引率
0.00%
发文量
10
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