2019
DOI: 10.3390/su11154131
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The Sustainable Development of Social Media Contents: An Analysis of Concrete and Abstract Information on Cultural and Creative Institutions with “Artist” and “Ordinary People” Positioning

Abstract: The sustainability of social media is a common subject of study. With the emergence of cultural and creative industries, many studies have begun to explore the advantages and disadvantages of the integration of social media with cultural and creative industries. However, there remains a lack of research on the sustainability of cultural and creative social media. Therefore, the present study uses the example of a non-profit cultural and creative organization as its case. The use of social media content discove… Show more

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Cited by 2 publications
(3 citation statements)
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“…For instance, Dávid-Barrett et al (2016) coded profile pictures based upon the presence of humans and evident gender; the results presented the homophily of social media networks. Manual object recognition may be replaced by computer vision in the near future in social science research (Chen, 2019; Gosal et al, 2019; Koylu et al, 2019). Researchers also use geospatial analysis (26%) to show aggregations of data with which to interpret social issues.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, Dávid-Barrett et al (2016) coded profile pictures based upon the presence of humans and evident gender; the results presented the homophily of social media networks. Manual object recognition may be replaced by computer vision in the near future in social science research (Chen, 2019; Gosal et al, 2019; Koylu et al, 2019). Researchers also use geospatial analysis (26%) to show aggregations of data with which to interpret social issues.…”
Section: Resultsmentioning
confidence: 99%
“…Many social topics are quite complex, which challenges scholars to extract meaning from passively sourced data like social media images (Casas and Williams, 2019;Chen, 2019;Holiday et al, 2019). Researchers' subjectivity and self-selection and other biases can affect the data collection process of social media research as well as conventional research methods such as surveys and interviews (Bergeron et al, 2014;Himelein, 2015).…”
Section: Biases and Challenges Of Using Social Media Image Data In So...mentioning
confidence: 99%
“…The non-previewed video content gives viewers unexpected interest, which makes them feel more satisfied [26]. When positive emotions such as higher satisfaction are triggered, viewers become more reactive and involved, resulting in actual engagement behavior such as commenting or pressing the heart [27].…”
Section: Main Findingsmentioning
confidence: 99%