Levordashka Ana, Utz Sonja
Leibniz-Institut für Wissensmedien, Tübingen, Germany.
Soc Psychol Personal Sci. 2017 Jan;8(1):93-101. doi: 10.1177/1948550616663803. Epub 2016 Sep 28.
The present research investigates whether spontaneous trait inferences occur under conditions characteristic of social media and networking sites: nonextreme, ostensibly self-generated content, simultaneous presentation of multiple cues, and self-paced browsing. We used an established measure of trait inferences (false recognition paradigm) and a direct assessment of impressions. Without being asked to do so, participants spontaneously formed impressions of people whose status updates they saw. Our results suggest that trait inferences occurred from nonextreme self-generated content, which is commonly found in social media updates (Experiment 1) and when nine status updates from different people were presented in parallel (Experiment 2). Although inferences did occur during free browsing, the results suggest that participants did not necessarily associate the traits with the corresponding status update authors (Experiment 3). Overall, the findings suggest that spontaneous trait inferences occur on social media. We discuss implications for online communication and research on spontaneous trait inferences.
本研究调查了在社交媒体和社交网站所特有的条件下,即非极端、表面上是自我生成的内容、多个线索同时呈现以及自定节奏浏览的情况下,是否会出现自发特质推理。我们使用了一种既定的特质推理测量方法(错误识别范式)和印象的直接评估方法。在没有被要求的情况下,参与者会自发地对他们看到的状态更新的人形成印象。我们的结果表明,特质推理发生在非极端的自我生成内容中,这种内容在社交媒体更新中很常见(实验1),以及当同时呈现来自不同人的九条状态更新时(实验2)。尽管在自由浏览过程中确实发生了推理,但结果表明参与者不一定会将这些特质与相应的状态更新作者联系起来(实验3)。总体而言,研究结果表明社交媒体上会出现自发特质推理。我们讨论了对在线交流以及自发特质推理研究的启示。