Big Data and Business Intelligence on Twitter and Instagram for Digital Inclusion

Autor/inn/en	Barroso-Moreno, Carlos; Rayon-Rumayor, Laura; García-Vera, Antonio Bautista
Titel	Big Data and Business Intelligence on Twitter and Instagram for Digital Inclusion
Quelle	In: Comunicar: Media Education Research Journal, 31 (2023) 74, S.45-56 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Barroso-Moreno, Carlos) ORCID (Rayon-Rumayor, Laura) ORCID (García-Vera, Antonio Bautista)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1134-3478
Schlagwörter	Data Collection; Social Media; Spanish; English; Data Analysis; Digital Literacy; Technological Literacy; Pedagogical Content Knowledge; Teaching Methods; Citizenship; Disabilities; Inclusion; Access to Education; Correlation; Gender Differences; Content Analysis; Political Attitudes; Economic Factors; Nonprofit Organizations; Altruism; Trend Analysis; Computer Software; Artificial Intelligence; Algorithms; Social Problems; Business; Social Networks; Maps; Persuasive Discourse + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Soziale Medien; Spanisch; English language; Englisch; Auswertung; Technisches Wissen; Pädagogische Kompetenz; Teaching method; Lehrmethode; Unterrichtsmethode; Staatsbürgerschaft; Handicap; Behinderung; Inklusion; Education; Access; Bildung; Zugang; Bildungszugang; Korrelation; Geschlechterkonflikt; Inhaltsanalyse; Political attitude; Politische Einstellung; Ökonomischer Faktor; Nonprofit-Organisation; Altruistic behavior; Altruismus; Trendanalyse; Künstliche Intelligenz; Algorithm; Algorithmus; Social problem; Soziales Problem; Business studies; Wirtschaft; Betriebswirtschaft; Social network; Soziales Netzwerk; Map; Karte; Persuasion; Persuasive Kommunikation
Abstract	Social media can contribute to an inclusive society, but they are also asymmetrical and polarised communication spaces. This requires competent teachers to build critical digital citizenship. The aim of this article is twofold: to present web scraping and text analytics as tools that define teachers' digital competences, and to investigate which posts on Twitter and Instagram are most viral in relation to education, disability and inclusion. A total of 48,991 publications in Spanish and English were analysed, corresponding to the period from 13 October 2021 to 1 May 2022. The 100 most viral posts were selected, and correlations were identified between the sentiment, gender and influence associated with the content, its temporal and geographic space. The results show that economic and political influence groups are the most viral, relegating non-profit organisations or individuals with altruistic outreach to second place; only on international days is this trend reversed. Bots do not interfere to impose messages; it is artificial intelligence algorithms that overshadow vindictive and humanistic content. The most influential people are predominantly male, associated with institutional accounts in the political sphere. It is concluded that Big Data and Business Intelligence tools help teachers to analyse relevant educational and social issues, and to acquire a collective ethic in the face of new educational challenges. (As Provided).
Anmerkungen	Grupo Comunicar Ediciones. Marina 8, Atico B - 21001 Huelva, Spain. Tel: 34-959-248480; e-mail: info@grupocomunicar.com; Web site: https://www.revistacomunicar.com/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01