Quality & Quantity

, Volume 46, Issue 4, pp 1013–1024

Online image content analysis of political figures: an exploratory study

Authors

  • Bulent Ozel
    • Computer Science DepartmentIstanbul Bilgi University
    • World Class University Webometrics Institute
    • Department of Media and CommunicationYeungNam University
Article

DOI: 10.1007/s11135-011-9445-x

Cite this article as:
Ozel, B. & Park, H.W. Qual Quant (2012) 46: 1013. doi:10.1007/s11135-011-9445-x

Abstract

This study investigates the emotional content of facial images of South Korean politicians. The data were drawn from official websites of 18th National Assembly members. We categorized facial expressions (smiling, frowning, and no expression) by using photos on the websites. The smiling image was the most prevalent facial expression regardless of the socio-political-demographic attributes of the politicians. The existence and strength of the smiling image had significant positive correlations with the politicians’ web visibility. Opposition parties were significantly more likely to show frowning or expressionless images than the ruling party. The more experienced politicians were more likely to continue their use smiling images than similarly aged politicians with less experience.

Keywords

Visual content analysisEmotional content analysisOnline visibilityWeb-based campaignsFacial expressionsCandidate websites

Copyright information

© Springer Science+Business Media B.V. 2011