Abstract
Visual aesthetics are related to a broad range of communication and psychological outcomes, yet the tools of computational aesthetic analysis are not widely available in the social science community. In this article, I address this gap and provide a tutorial on measuring hand-crafted aesthetic attributes, such as colorfulness and visual complexity. I introduce Athec, a Python library for computational aesthetic analysis in social science research. Furthermore, a case study applies Athec to compare the visual aesthetics of Instagram posts from the two candidates in the 2016 U.S. presidential election, Hillary Clinton and Donald Trump, indicating how amateurishness and authenticity are reflected in politicians’ visual messages. With computational aesthetic analysis tools, communication researchers can better understand the antecedents and outcomes of visual aesthetics beyond visual media content.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
