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Artificial neural networks for predicting social comparison effects among female Instagram users

机译:用于预测女性Instagram用户之间的社会比较效应的人工神经网络

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Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, self-objectification, body concerns, and lower perception of themselves. This study first investigates the possible links between life satisfaction, self-esteem, anxiety, depression, and the intensity of Instagram use with a social comparison model. In the study, 974 women age 18–49 who were Instagram users voluntarily participated, completing a questionnaire. The results suggest associations between the analyzed psychological data and social comparison types. Then, artificial neural networks models were implemented to predict the type of such comparison (positive, negative, equal) based on the aforementioned psychological traits. The models were able to properly predict between 71% and 82% of cases. As human behavior analysis has been a subject of study in various fields of science, this paper contributes towards understanding the role of artificial intelligence methods for analyzing behavioral data in psychology.
机译:系统地接触社交媒体导致社会比较,特别是在将其形象与他人进行比较的女性中;它们特别容易受到情绪减少,自我倾向,身体问题和对自己的看法较低。本研究首先调查生活满意度,自尊,焦虑,抑郁和与社会比较模型的Instagram使用强度之间的可能链接。在研究中,974名妇女18-49岁时是Instagram用户自愿参加,完成问卷。结果表明分析的心理数据和社会比较类型之间的关联。然后,实施人工神经网络模型以预测基于上述心理特征的这种比较(正,负等)的类型。该模型能够正确预测71%和82%的病例。由于人类行为分析是各种科学领域的研究主题,这篇论文有助于了解人工智能方法分析心理学中的行为数据的作用。

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