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Article

Social Media Analytics and Metrics for Improving Users Engagement

Information Management Research Lab, Department of Archival, Library and Information Studies University of West Attica, 12243 Egaleo, Greece
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Academic Editor: Gautam Srivastava
Received: 16 March 2022 / Revised: 2 May 2022 / Accepted: 10 May 2022 / Published: 12 May 2022
Social media platforms can be used as a tool to expand awareness and the consideration of cultural heritage organizations and their activities in the digital world. These platforms produce daily behavioral analytical data that could be exploited by the administrators of libraries, archives and museums (LAMs) to improve users’ engagement with the provided published content. There are multiple papers regarding social media utilization for improving LAMs’ visibility of their activities on the Web. Nevertheless, there are no prior efforts to support social media analytics to improve users’ engagement with the content that LAMs post to social network platforms. In this paper, we propose a data-driven methodology that is capable of (a) providing a reliable assessment schema regarding LAMs Facebook performance page that involves several variables, (b) examining a more extended set of LAMs social media pages compared to other prior investigations with limited samples as case studies, and (c) understanding which are the administrators’ actions that increase the engagement of users. The results of this study constitute a solid stepping-stone both for practitioners and researchers, as the proposed methods rely on data-driven approaches for expanding the visibility of LAMs services on the Social Web. View Full-Text
Keywords: social media platforms; Facebook; social media networks; social media data; analytics; metrics; libraries; archives; museums; users’ engagement social media platforms; Facebook; social media networks; social media data; analytics; metrics; libraries; archives; museums; users’ engagement
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MDPI and ACS Style

Drivas, I.C.; Kouis, D.; Kyriaki-Manessi, D.; Giannakopoulou, F. Social Media Analytics and Metrics for Improving Users Engagement. Knowledge 2022, 2, 225-242. https://0-doi-org.brum.beds.ac.uk/10.3390/knowledge2020014

AMA Style

Drivas IC, Kouis D, Kyriaki-Manessi D, Giannakopoulou F. Social Media Analytics and Metrics for Improving Users Engagement. Knowledge. 2022; 2(2):225-242. https://0-doi-org.brum.beds.ac.uk/10.3390/knowledge2020014

Chicago/Turabian Style

Drivas, Ioannis C., Dimitrios Kouis, Daphne Kyriaki-Manessi, and Fani Giannakopoulou. 2022. "Social Media Analytics and Metrics for Improving Users Engagement" Knowledge 2, no. 2: 225-242. https://0-doi-org.brum.beds.ac.uk/10.3390/knowledge2020014

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