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<link>https://hdl.handle.net/20.500.14342/18</link>
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<pubDate>Mon, 25 May 2026 08:15:48 GMT</pubDate>
<dc:date>2026-05-25T08:15:48Z</dc:date>
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<title>Citizen perception of artificial intelligence: impact and applications in journalism</title>
<link>https://hdl.handle.net/20.500.14342/6208</link>
<description>Citizen perception of artificial intelligence: impact and applications in journalism
Yeste Piquer, Elena; Suau Martínez, Jaume
The integration of Artificial Intelligence (AI) into journalism has significantly reshaped the news industry, enabling automation in news production, data analysis, and content personalization (Ufarte-Ruiz, Murcia-Verdú, &amp; Túñez-López, 2023; Newman et al., 2024). Media organizations are increasingly relying on AI-driven tools to generate financial reports, sports summaries, and other data-driven content, with some platforms fully automating certain news categories. While AI is often seen as a means to enhance efficiency and optimize newsroom workflows, its growing presence raises fundamental questions about trust, credibility, and the evolving role of journalists (Sonni et al., 2024).&#13;
One of the key debates in AI-generated journalism concerns its impact on audience trust. Some studies suggest that AI-authored articles can be perceived as equally credible as human-written content, particularly when the AI’s role is disclosed (Hofeditz et al., 2022). However, other research points to significant concerns regarding transparency, accuracy, and potential biases in automated news production (Forja-Pena et al., 2024). AI-generated journalism operates within existing corporate and media structures, which means that its neutrality cannot be assumed (Bender et al., 2021). Scholars have argued that algorithmic content creation may still reflect biases from the data it is trained on, the interests of its developers, or the influence of the prompts used by human journalists (Mehrabi et al., 2021). These factors make the perception of AI as an objective news source highly contested, particularly among audiences with a deeper understanding of AI technologies.
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<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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<title>Hate Speech and Emojis: The Journalist Case</title>
<link>https://hdl.handle.net/20.500.14342/5901</link>
<description>Hate Speech and Emojis: The Journalist Case
Larrosa-Camps, David; Suau Martínez, Jaume; Vilasis-Cardona, Xavier
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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<title>Millennials and Fashion: Branding and Positioning through Digital Interactions</title>
<link>https://hdl.handle.net/20.500.14342/5715</link>
<description>Millennials and Fashion: Branding and Positioning through Digital Interactions
Fondevila-Gascón, Joan-Francesc; Mir-Bernal, Pedro; SanMiguel, Patricia; Sadaba, Teresa; Pérez-Bou, Silvia
Millennials, consumers born between 1980 and the early 2000s, are characterized by living their lives linked to technology and new forms of communication. In Spain, through social networks, millennials are connected to the main brands, multiplying their interaction and constantly evolving perceptions with them, a phenomenon that contrasts with other generations that could not relate so quickly and frequently with brands. By studying the perceptions that millennials have regarding Zara, H&amp;M, Louis Vuitton and Gucci, we seek to discover the positioning of each of these brands within the selected target, Spanish millennials, as well as understanding the position they occupy amongst millennials. A moderate association exists between attributes and brand, together with a high degree of recognition and awareness.
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<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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<dc:date>2021-01-01T00:00:00Z</dc:date>
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<title>Phygital Brand Experience: Merging Physical and Digital Formats to Enhance Customer Engagement</title>
<link>https://hdl.handle.net/20.500.14342/5590</link>
<description>Phygital Brand Experience: Merging Physical and Digital Formats to Enhance Customer Engagement
Krtolica-Lukic, Aleksandra; Polo López, Marc; Ramirez-Pages, Alba
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<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-01-01T00:00:00Z</dc:date>
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