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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.chb.2025.108866</dc:identifier><dc:language>eng</dc:language><dc:creator>Aiger, Montserrat</dc:creator><dc:creator>Elboj, Carmen</dc:creator><dc:creator>Lozano-Blasco, Raquel</dc:creator><dc:creator>Acero-Ferrero, Marian</dc:creator><dc:title>Science communication in social Media: Analysis of success on TikTok, Instagram, and YouTube across scientific disciplines</dc:title><dc:identifier>ART-2025-148007</dc:identifier><dc:description>1. Science communication in the information society
In contemporary society—characterized by the centrality of digital technologies and the constant flow of information (Castells, 2006)— science communication has gained prominence as a vital bridge between scientific knowledge and the general public. This process goes beyond the mere transmission of information or media literacy; it serves as a key tool in fostering critically engaged, informed citizens who are prepared to confront global challenges (Casta˜ no &amp; Manresa, 2021; Buchanan, 2023).

Social media platforms enable direct communication between scientists and the public, prompting a reevaluation of the role of science in the public sphere and the communicative responsibilities of its representatives (Fernández-Muerza, 2019). However, the exponential increase in available information presents significant challenges: information overload and misinformation hinder the identification of reliable sources and the understanding of evidence-based knowledge (Moreno-Castro &amp; López-Borrull, 2022).</dc:description><dc:date>2025</dc:date><dc:source>http://zaguan.unizar.es/record/168583</dc:source><dc:doi>10.1016/j.chb.2025.108866</dc:doi><dc:identifier>http://zaguan.unizar.es/record/168583</dc:identifier><dc:identifier>oai:zaguan.unizar.es:168583</dc:identifier><dc:identifier.citation>COMPUTERS IN HUMAN BEHAVIOR 177 (2025), 108866 [13 pp.]</dc:identifier.citation><dc:rights>by-nc</dc:rights><dc:rights>https://creativecommons.org/licenses/by-nc/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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