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An Assessment of Personality Traits Based on Photos on Instagram
Milica Schraggeová1, Lucia Petríková1
1Comenius University in Bratislava, Slovak Republic.
Abstract:
This study analyses the accuracy assessment of personality traits based on photos on the Instagram social network. The theoretical starting point is the Realistic Accuracy Model based on the correct detection and interpretation of information about individuals. The research sample consisted of a group of participants who provided their Instagram profiles for assessment (N = 4) aged M = 23.0, SD = 1.63 and a group of independent assessors (N = 342; 258 women). The accuracy of the assessment was based on the assessors' consensus and the degree of agreement between assessors and the accuracy criterion. The highest assessor consensus was for extraversion, and the most accurately assessed traits were neuroticism and agreeableness - with women being more accurate in their assessments.
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