Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202047235> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3202047235 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 community of social science scholars. This article addresses this gap and provides a tutorial for social scientists to measure a broad range of hand-crafted aesthetic attributes of visual media, such as colorfulness and visual complexity. It introduces Athec, a Python library developed for computational aesthetic analysis in social science research, which can be readily applied by future researchers. In addition, a case study applies Athec to compare the visual aesthetics of Instagram posts from the two candidates in the 2016 US presidential election, Hillary Clinton and Donald Trump, showing how amateurishness and authenticity are reflected in politicians’ visual messages. With tools of computational aesthetic analysis, communication researchers can better understand the antecedents and outcomes of visual aesthetics beyond the content of visual media." @default.
- W3202047235 created "2021-10-11" @default.
- W3202047235 creator A5013761723 @default.
- W3202047235 date "2021-01-01" @default.
- W3202047235 modified "2023-09-29" @default.
- W3202047235 title "Athec: A Python Library for Computational Aesthetic Analysis of Visual Media in Social Science Research" @default.
- W3202047235 cites W1997222220 @default.
- W3202047235 cites W2003856922 @default.
- W3202047235 cites W2009627211 @default.
- W3202047235 cites W2019608522 @default.
- W3202047235 cites W2039355801 @default.
- W3202047235 cites W2047481786 @default.
- W3202047235 cites W2058501854 @default.
- W3202047235 cites W2065735564 @default.
- W3202047235 cites W2066385704 @default.
- W3202047235 cites W2074356411 @default.
- W3202047235 cites W2085146043 @default.
- W3202047235 cites W2085448797 @default.
- W3202047235 cites W2085940040 @default.
- W3202047235 cites W2096318880 @default.
- W3202047235 cites W2124386111 @default.
- W3202047235 cites W2134889726 @default.
- W3202047235 cites W2164901293 @default.
- W3202047235 cites W2166261011 @default.
- W3202047235 cites W2169866542 @default.
- W3202047235 cites W2226784632 @default.
- W3202047235 cites W2245625259 @default.
- W3202047235 cites W2401600314 @default.
- W3202047235 cites W2502575609 @default.
- W3202047235 cites W2611885487 @default.
- W3202047235 cites W2621367454 @default.
- W3202047235 cites W2768304937 @default.
- W3202047235 cites W2887443024 @default.
- W3202047235 cites W2895018254 @default.
- W3202047235 cites W2898289373 @default.
- W3202047235 cites W2901416577 @default.
- W3202047235 cites W2913898098 @default.
- W3202047235 cites W2929974724 @default.
- W3202047235 cites W2935458273 @default.
- W3202047235 cites W3092668609 @default.
- W3202047235 cites W3103635814 @default.
- W3202047235 cites W4235041105 @default.
- W3202047235 cites W4235117060 @default.
- W3202047235 doi "https://doi.org/10.2139/ssrn.3899662" @default.
- W3202047235 hasPublicationYear "2021" @default.
- W3202047235 type Work @default.
- W3202047235 sameAs 3202047235 @default.
- W3202047235 citedByCount "1" @default.
- W3202047235 countsByYear W32020472352023 @default.
- W3202047235 crossrefType "journal-article" @default.
- W3202047235 hasAuthorship W3202047235A5013761723 @default.
- W3202047235 hasConcept C126349790 @default.
- W3202047235 hasConcept C136764020 @default.
- W3202047235 hasConcept C161191863 @default.
- W3202047235 hasConcept C199360897 @default.
- W3202047235 hasConcept C2522767166 @default.
- W3202047235 hasConcept C2987052865 @default.
- W3202047235 hasConcept C41008148 @default.
- W3202047235 hasConcept C49774154 @default.
- W3202047235 hasConcept C518677369 @default.
- W3202047235 hasConcept C519991488 @default.
- W3202047235 hasConceptScore W3202047235C126349790 @default.
- W3202047235 hasConceptScore W3202047235C136764020 @default.
- W3202047235 hasConceptScore W3202047235C161191863 @default.
- W3202047235 hasConceptScore W3202047235C199360897 @default.
- W3202047235 hasConceptScore W3202047235C2522767166 @default.
- W3202047235 hasConceptScore W3202047235C2987052865 @default.
- W3202047235 hasConceptScore W3202047235C41008148 @default.
- W3202047235 hasConceptScore W3202047235C49774154 @default.
- W3202047235 hasConceptScore W3202047235C518677369 @default.
- W3202047235 hasConceptScore W3202047235C519991488 @default.
- W3202047235 hasLocation W32020472351 @default.
- W3202047235 hasOpenAccess W3202047235 @default.
- W3202047235 hasPrimaryLocation W32020472351 @default.
- W3202047235 hasRelatedWork W1551325347 @default.
- W3202047235 hasRelatedWork W2312223927 @default.
- W3202047235 hasRelatedWork W2593164924 @default.
- W3202047235 hasRelatedWork W2748952813 @default.
- W3202047235 hasRelatedWork W2951182153 @default.
- W3202047235 hasRelatedWork W3202047235 @default.
- W3202047235 hasRelatedWork W4251377189 @default.
- W3202047235 hasRelatedWork W4284894714 @default.
- W3202047235 hasRelatedWork W4302563229 @default.
- W3202047235 hasRelatedWork W3020876057 @default.
- W3202047235 isParatext "false" @default.
- W3202047235 isRetracted "false" @default.
- W3202047235 magId "3202047235" @default.
- W3202047235 workType "article" @default.