Unlocking the potential of data: datification in educational research using social listening methodology

Datafication revolutionizes the way data is collected and analyzed on social media platforms, with a special focus on education. This study has a twofold objective: to implement advanced Big Data and Business Intelligence techniques to evaluate their effectiveness in social listening and to analyze behavioral patterns of social networks for educational content. A consortium of researchers from various universities (Complutense University of Madrid, National University of Distance Education and Rey Juan Carlos University) have investigated more than two million posts on Instagram, Twitter, TikTok and YouTube related to education, disability and inclusion topics since 2021. The results show how algorithms and groups with high levels of influence dominate the platform, potentially affecting the visibility of altruistic content. Additionally, a trend towards the commercialization of inclusive employability is identified, which may obscure non-profit broadcasts. The findings suggest that these data analysis techniques may be crucial to tailoring educational strategies that promote informed and responsible digital citizenship. This research supports the development of educational practices that integrate a collective ethical perspective, addressing educational challenges in an inclusive and effective manner. The educational community has a role to play in fostering critical digital literacy that is not guided by market logic.

Authors

Institutions

Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1145/3702163.3702441
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unlocking the potential of data: datification in educational research using social listening methodology

Carlos Barroso-Moreno, Laura Rayón Rumayor, Elena Bañares-Marivela, Ana María de las Heras Cuenca
Social Media and Politics
article

Unlocking the potential of data: datification in educational research using social listening methodology

Carlos Barroso-Moreno, Laura Rayón Rumayor, Elena Bañares-Marivela, Ana María de las Heras Cuenca
article en

Abstract

Datafication revolutionizes the way data is collected and analyzed on social media platforms, with a special focus on education. This study has a twofold objective: to implement advanced Big Data and Business Intelligence techniques to evaluate their effectiveness in social listening and to analyze behavioral patterns of social networks for educational content. A consortium of researchers from various universities (Complutense University of Madrid, National University of Distance Education and Rey Juan Carlos University) have investigated more than two million posts on Instagram, Twitter, TikTok and YouTube related to education, disability and inclusion topics since 2021. The results show how algorithms and groups with high levels of influence dominate the platform, potentially affecting the visibility of altruistic content. Additionally, a trend towards the commercialization of inclusive employability is identified, which may obscure non-profit broadcasts. The findings suggest that these data analysis techniques may be crucial to tailoring educational strategies that promote informed and responsible digital citizenship. This research supports the development of educational practices that integrate a collective ethical perspective, addressing educational challenges in an inclusive and effective manner. The educational community has a role to play in fostering critical digital literacy that is not guided by market logic.

Universidad Complutense de Madrid (ES)
Reduced inequalities
Openalex Percentile: Top 64%
Social Media and Politics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.