All publications

@article{Drivas2022,

title = {Social Media Analytics and Metrics for Improving Users Engagement},

author = {Drivas, Ioannis and Kouis, Dimitrios and Kyriaki-Manessi, Daphne and Giannakopoulou, Fani},

editor = {MDPI},

url = {https://www.mdpi.com/2673-9585/2/2/14},

doi = {https://doi.org/10.3390/knowledge2020014},

isbn = {2673-9585},

year  = {2022},

date = {2022-05-12},

urldate = {2022-05-12},

journal = {Knowledge},

volume = {2},

issue = {2},

pages = {18},

abstract = {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.},

keywords = {analytics, behavioral analytics, facebook, social data analysis, social media, social networks, users interaction, web analytics},

pubstate = {published},

tppubtype = {article}

}

@article{M.2021,

title = {Disconnecting from social networks},

author = {Briana, M. and Koloniari, M. and Koulouris, Alexandros and Vraimaki, Eftichia},

url = {http://www.qqml.net/index.php/qqml/article/view/726},

year  = {2021},

date = {2021-10-25},

journal = {Qualitative and Quantitative Methods in Libraries},

volume = {10},

number = {3},

pages = {351-373},

abstract = {Today, more than half of the world’s population uses social media, and the ongoing Coronavirus pandemic is a major contributing factor to their expedited growth. However, negative experiences associated with social networking, such as fatigue and overload, can lead to SNS abandonment. Given the widespread utilization of social media by libraries of all types, user discontinuance decisions are crucial to the formulation of libraries’ digital marketing strategy. In this context, this study investigates public library patrons’ intention to discontinue using Facebook, permanently or intermittently, and/or replace it with another network. Preferences regarding the content posted by libraries are also examined, as it has been found to affect social media fatigue and abandonment.},

keywords = {facebook, Library marketing, public libraries, social media},

pubstate = {published},

tppubtype = {article}

}