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Positive and negative tie perceptual accuracy: Pollyanna principle vs. negative asymmetry explanations
Social Networks ( IF 4.144 ) Pub Date : 2020-09-08 , DOI: 10.1016/j.socnet.2020.07.008
Joshua E. Marineau , Giuseppe (Joe) Labianca

We examine the affective content of ties and explore whether negative affective tie content is systematically advantaged or disadvantaged when recalling the social network as compared to positive affective tie content. We test this in three workgroups from two organizations and analyze differences in perceptual accuracy comparing negative and positive affective tie perception. We theorize that ego will be more accurate for others’ positive than negative ties due to generalized positivity bias, or the Pollyanna principle. We also theorize that ego will be more accurate for their own negative ties due to negative asymmetry perspective, as ego will attend more to those ties that pose a personal threat. Findings suggest that observers were more accurate overall about their own and others’ positive compared to negative affective ties. We conclude that the Pollyanna principle is an important factor in explaining perceptions in naturalistic cognitive networks. Supplementary analysis showed that negative ties were more likely to be missed and imagined and having a valenced tie toward another person influences perceptions of that persons’ network ties. Finally, we find that balanced and imbalanced triads were also important factors of relative accuracy. The study’s contribution, limitations, and future research are also discussed.



中文翻译:

正负关系感知准确性:Pollyanna原理与负不对称解释

我们研究关系的情感内容,并探讨与积极情感领带内容相比,消极情感领带内容在回忆社交网络时是系统地优势还是劣势。我们在两个组织的三个工作组中对此进行了测试,并比较了负面和正面的情感联系感知,分析了感知准确性的差异。我们认为,由于普遍的积极偏见或Pollyanna原则,自我对于他人的积极关系比消极关系更为准确。我们还认为,由于消极的不对称视角,自我对于自己的负面关系会更加准确,因为自我会更多地关注那些构成个人威胁的关系。研究结果表明,与消极的情感纽带相比,观察者对自己和他人的积极纽带总体上更为准确。我们得出的结论是,Pollyanna原理是解释自然主义认知网络中的感知的重要因素。补充分析表明,消极的联系更容易被错过和想象,并且与他人之间的价高关系会影响人们对该人网络联系的看法。最后,我们发现平衡和不平衡三合会也是相对准确度的重要因素。还讨论了这项研究的贡献,局限性和未来的研究。我们发现平衡和不平衡三合会也是相对准确度的重要因素。还讨论了这项研究的贡献,局限性和未来的研究。我们发现平衡和不平衡三合会也是相对准确度的重要因素。还讨论了这项研究的贡献,局限性和未来的研究。

更新日期:2020-09-08
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