Quantitative and Qualitative Approaches of User Engagement on Facebook Fan Page Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.15514/ispras-2024-36(1)-9
User Engagement is a metric that represents a part of the user experience characterized by attributes of reactions, visibility and user interactivity with others. Quantitative and qualitative analysis were used to establish a new method for calculating User Engagement in Facebook fan pages focused in dissemination of scientific content, news, and events. We focused on social media processes based on Spearman correlation coefficients and categorization of publications by format type and source of content. Variations in Engagement for individual posts were explained by a multiple linear regression model defined using the number of clicks and the reach of posts with an accuracy of up to 91% (R2). The User Engagement increases preferably when it is presented in photo format of an original content creation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.15514/ispras-2024-36(1)-9
- https://ispranproceedings.elpub.ru/jour/article/download/1762/1616
- OA Status
- diamond
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399047050
Raw OpenAlex JSON
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https://openalex.org/W4399047050Canonical identifier for this work in OpenAlex
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https://doi.org/10.15514/ispras-2024-36(1)-9Digital Object Identifier
- Title
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Quantitative and Qualitative Approaches of User Engagement on Facebook Fan PageWork title
- Type
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
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Paola E. Velazquez-Solis, Jorge E. Ibarra-Esquer, María Angélica Astorga-Vargas, Brenda L. Flores-Ríos, Mónica Carrillo, Iván GarcíaList of authors in order
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https://doi.org/10.15514/ispras-2024-36(1)-9Publisher landing page
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https://ispranproceedings.elpub.ru/jour/article/download/1762/1616Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://ispranproceedings.elpub.ru/jour/article/download/1762/1616Direct OA link when available
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World Wide Web, Computer science, Cyberpsychology, Social mediaTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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