Academic Journal
Athec: A Python Library for Computational Aesthetic Analysis of Visual Media in Social Science Research
| العنوان: | Athec: A Python Library for Computational Aesthetic Analysis of Visual Media in Social Science Research |
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| المؤلفون: | Peng, Yilang |
| المصدر: | Computational Communication Research; Bd. 4 Nr. 1 (2022): Special Issue: Images as Data; 323-349 ; Computational Communication Research; Vol. 4 No. 1 (2022): Special Issue: Images as Data; 323-349 ; Computational Communication Research; Vol. 4 Núm. 1 (2022): Special Issue: Images as Data; 323-349 ; Computational Communication Research; Vol. 4 No 1 (2022): Special Issue: Images as Data; 323-349 ; Computational Communication Research; V. 4 N. 1 (2022): Special Issue: Images as Data; 323-349 ; Computational Communication Research; Vol. 4 N.º 1 (2022): Special Issue: Images as Data; 323-349 ; Computational Communication Research; Volum 4 Nr. 1 (2022): Special .... |
| بيانات النشر: | Amsterdam University Press |
| سنة النشر: | 2022 |
| المجموعة: | University of Zurich (UZH): HOPE (Hauptbibliothek Open Publishing Environment) |
| مصطلحات موضوعية: | computational aesthetics, computer vision, aesthetic analysis, image feature, visual complexity, authenticity |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | https://journal.computationalcommunication.org/article/view/4747/4282; https://journal.computationalcommunication.org/article/view/4747 |
| DOI: | 10.5117/CCR2022.1.009.PENG |
| الاتاحة: | https://journal.computationalcommunication.org/article/view/4747 https://doi.org/10.5117/CCR2022.1.009.PENG |
| Rights: | Copyright (c) 2022 Yilang Peng |
| رقم الانضمام: | edsbas.8B958609 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5117/CCR2022.1.009.PENG |
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