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Polarization, virality and contrary sentiments for LGTB content on Instagram, TikTok, and Twitter

dc.contributor.authorBarroso Moreno, Carlos
dc.contributor.authorRayón Rumayor, Laura
dc.contributor.authorBañares Marivela, Elena
dc.contributor.authorHernández Ortega, José Antonio
dc.contributor.editorOxbridge Publishing House
dc.date.accessioned2024-11-06T15:50:16Z
dc.date.available2024-11-06T15:50:16Z
dc.date.issued2023
dc.descriptionAcción financiada por la Comunidad de Madrid a través del Convenio Plurianual con la Universidad Complutense de Madrid en su línea Programa de excelencia para el profesorado universitario, en el marco del V Pricit (Plan regional de investigación científica e innovación tecnológica). Referencias bibliográficas: • Abreu, Roberto; Kenny, Maureen (2018). “Cyberbullying and LGBTQ youth: A systematic literature review and recommendations for prevention and intervention”. Journal child of adolescent trauma, v. 11, n. 1, pp. 81-97. https://doi.org/10.1007/s40653-017-0175-7 • Adjin-Tettey, Theodora-Dame (2022). “Combating fake news, disinformation, and misinformation: Experimental evidence for media literacy education”. Cogent arts & humanities, v. 9, n. 1, 2037229. https://doi.org/10.1080/23311983.2022.2037229 • Arce-García, Sergio; Orviz-Martínez, Natalia; Cuervo-Carabel, Tatiana (2020). “Impact of emotions expressed by digital newspapers on Twitter”. 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dc.description.abstractDigital platforms are spaces for social participation with significant value in the development of the identity of adolescents and emerging adults. The objective is to identify the behavior and visibility of LGBT content using Instagram, TikTok, and Twitter posts of such content from May 16 to November 16, 2022, collecting 539,389 posts. Social media monitoring techniques gathered the posts with the keywords "LGTB" or "LGBT" in Spanish and English, forming the database. The methodology is based on a mixed design: first, the database is analyzed using Big Data techniques and, second, the 10 most viral posts from each social network are selected. The results show that dissemination of gender identity in content and meaning is uneven across the various social networks. Twitter profiles have a higher number of posts (61%), polarization, and lower virality and exhibit visible LGBTphobia. Instagram has a number of posts (37%) and average virality, with positive sentiments. TikTok has fewer posts (2%), less polarization, positive messages, and extreme virality. The three networks consider the Pride demonstrations to be a symbol of the community because they destabilize and confront LGBTphobic oppression by occupying public spaces, opening the closet without stigma or shame, as is reflected on social networks. The behavior of LGBT content on these platforms is multidimensional, uneven, and differentiated, which demonstrates the necessity of ensuring respect for the diversity of sexual orientation and gender identity on digital platforms.
dc.description.abstractLas plataformas digitales son espacios de participación social con un valor significativo para el desarrollo de la identidad de adolescentes y adultos emergentes. El objetivo de esta investigación es identificar el comportamiento y visibilidad del contenido LGTB a partir de las publicaciones de Instagram, TikTok y Twitter desde el 16 de mayo al 16 de noviembre de 2022, recopilando 539.389 publicaciones. Las técnicas de monitorización de redes sociales capturan las publicaciones con las palabras clave LGTB o LGBT en español e inglés, conformando la base de datos. La metodología se articula en torno a un diseño mixto: por un lado, se analiza la base de datos con técnicas de big data y, por otro, se seleccionan las 10 publicaciones más virales de cada red social. Los resultados evidencian una difusión de la identidad de género asimétrica en contenido y significado entre las diferentes redes sociales. Los perfiles de Twitter cuentan con mayor número de publicaciones (61%), polarización, menor viralidad y albergan una LGTBfobia visible. Instagram tiene un número de publicaciones (37%) y viralidad media con sentimientos positivos. TikTok tiene menos publicaciones (2%), menor polarización, mensajes positivos y viralidad extrema. Las tres redes recogen las manifestaciones del Orgullo como símbolo del colectivo porque desestabilizan y enfrentan la opresión LGTBfobia al ocupar los espacios públicos, convirtiéndose en un armario abierto sin estigma ni vergüenza, reflejado en las redes sociales. Estas plataformas tienen un comportamiento multidimensional, asimétrico y diferenciado para el contenido LGTB, que evidencia la necesidad de garantizar el respeto a la diversidad de identidad sexual y de género en las plataformas digitales.
dc.description.departmentDepto. de Estudios Educativos
dc.description.facultyFac. de Educación
dc.description.refereedTRUE
dc.description.sponsorshipComunidad de Madrid
dc.description.statuspub
dc.identifier.citationBarroso Moreno, C., Rayón Rumayor, L., Bañares Marivela, E., & Hernández Ortega, J. (2023). Polarization, virality and contrary sentiments for LGTB content on Instagram, TikTok, and Twitter. El profesional de la información, 32(2). https://doi.org/10.3145/EPI.2023.MAR.11
dc.identifier.doi10.3145/epi.2023.mar.11
dc.identifier.essn1699-2407
dc.identifier.issn1386-6710
dc.identifier.officialurlhttps://doi.org/10.3145/epi.2023.mar.11
dc.identifier.relatedurlhttps://produccioncientifica.ucm.es/documentos/641b4e505998a1614ab095d0
dc.identifier.relatedurlhttps://dialnet.unirioja.es/servlet/articulo?codigo=8862555
dc.identifier.relatedurlhttps://revista.profesionaldelainformacion.com/index.php/EPI/article/view/87253
dc.identifier.urihttps://hdl.handle.net/20.500.14352/110121
dc.issue.number2
dc.journal.titleEl profesional de la información
dc.language.isoeng
dc.page.final15
dc.page.initial1
dc.publisherEdiciones Profesionales de la Información (EPI SCP)
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject.cdu004.78:316.77
dc.subject.cdu316.77-053.6
dc.subject.cdu612.6.057
dc.subject.cdu159.922.1
dc.subject.cdu613.880.1
dc.subject.cdu159.923.2-055.4
dc.subject.cdu37.012
dc.subject.cdu308
dc.subject.cdu316.635
dc.subject.cdu004.774.1TW
dc.subject.keywordLGTB
dc.subject.keywordLGBT
dc.subject.keywordLGTBfobia
dc.subject.keywordSocial media
dc.subject.keywordSocial networks
dc.subject.keywordSocial network analysis
dc.subject.keywordVirality
dc.subject.keywordGender diversity
dc.subject.keywordSexual diversity
dc.subject.keywordBig Data
dc.subject.keywordQualitative research
dc.subject.keywordQuantitative research
dc.subject.keywordInfluence groups
dc.subject.keywordCitizenship
dc.subject.keywordInstagram
dc.subject.keywordTwitter
dc.subject.keywordTikTok
dc.subject.ucmAudiencia y difusión de los medios
dc.subject.ucmComunicación social
dc.subject.ucmPersonalidad
dc.subject.ucmMétodos de investigación en educación
dc.subject.unesco6306.07 Sociología de Los Medios de Comunicación de Masas
dc.subject.unesco5801 Teoría y Métodos Educativos
dc.titlePolarization, virality and contrary sentiments for LGTB content on Instagram, TikTok, and Twitter
dc.title.alternativePolarización, viralidad y sentimientos contrarios en Instagram, TikTok y Twitter para el contenido LGTB
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number32
dspace.entity.typePublication
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