Online image content analysis of political figures: an exploratory study
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Access Rights
info:eu-repo/semantics/closedAccess
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.
Description
Keywords
Visual Content Analysis, Emotional Content Analysis, Online Visibility, Web-Based Campaigns, Facial Expressions, Candidate Websites, Candidate Web Sites, Reliability
Journal or Series
Quality & Quantity
WoS Q Value
Q2
Scopus Q Value
Q1
Volume
46
Issue
4
