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<dim:field authority="0000-0002-1776-0036" element="contributor" qualifier="advisor" confidence="ACCEPTED" language="es-ES" mdschema="dc">Lewis Wuebben, Daniel</dim:field>
<dim:field authority="9f468523-dfa5-480c-b259-a4779f84298a" element="contributor" qualifier="author" confidence="UNCERTAIN" language="es-ES" mdschema="dc">Muela Rodríguez, Lorena</dim:field>
<dim:field element="contributor" qualifier="other" language="es_ES" mdschema="dc">Universidad Pontificia Comillas, Facultad de Ciencias Humanas y Sociales</dim:field>
<dim:field element="date" qualifier="accessioned" language="" mdschema="dc">2023-06-20T10:52:42Z</dim:field>
<dim:field element="date" qualifier="available" language="" mdschema="dc">2023-06-20T10:52:42Z</dim:field>
<dim:field element="date" qualifier="issued" language="es_ES" mdschema="dc">2024</dim:field>
<dim:field element="identifier" qualifier="uri" language="" mdschema="dc">http://hdl.handle.net/11531/79330</dim:field>
<dim:field element="description" language="es_ES" mdschema="dc">Grado en Traducción e Interpretación y Grado en Comunicación Internacional - Bachelor in Global Communication</dim:field>
<dim:field element="description" qualifier="abstract" language="es-ES" mdschema="dc">Los influencers cada vez adquieren más poder sobre las decisiones de compra de los usuarios, y son muchas las empresas que colaboran con ellos para aumentar o impulsar las ventas de sus productos o servicios. La continua evolución de las redes sociales y la emergencia de otras nuevas, obliga a los influencers a adaptarse a las nuevas tendencias de contenido que surgen continuamente. Conocer qué tipo de contenido alcanza mayor popularidad entre los usuarios, es vital para establecer una estrategia de comunicación eficaz tanto para las empresas como para los propios influencers. En el presente trabajo se pretende analizar las tendencias de contenido en la red social de TikTok de las influencers del sector de la moda. Para ello, se llevarán a cabo dos tipos de análisis; uno cuantitativo y otro cualitativo, utilizando como muestra a seis influencers del sector de la moda en TikTok. En este trabajo se ha seleccionado a tres influencers angloparlantes y a tres influencers hispanoparlantes, con el objetivo de comparar las tendencias de contenido entre estos dos grupos. El objetivo principal es descubrir qué tipo de contenido de las influencers del sector de moda genera mayor interacción entre los usuarios. Se pretende que este trabajo pueda ser útil tanto para empresas como para las propias influencers con el fin de crear contenido lo más efectivo por ambas partes.</dim:field>
<dim:field element="description" qualifier="abstract" language="en-GB" mdschema="dc">Influencers are increasingly acquiring more power over users' purchasing decisions, and several companies are increasingly collaborating with them in order to increase or boost their products' or services' sales. The continuous evolution of social networks and the emergence of new ones forces influencers to adapt to the new content trends that are constantly emerging. Knowing what type of content achieves greater popularity among users is crucial to establish an effective communication strategy both for companies and for the influencers themselves. This paper aims to analyze the content trends of influencers in the fashion industry on the TikTok social network. For this purpose, two types of analysis will be carried out; a quantitative and a qualitative one, using six influencers of the fashion sector in TikTok as a sample. In this work, three English-speaking influencers and three Spanish-speaking influencers have been selected, with the aim of comparing the content trends between these two groups. The main objective is to discover what type of content from fashion influencers generates the most interaction among users. It is intended that this work can be useful for both companies and the influencers themselves in order to create the most effective content for both parties.</dim:field>
<dim:field element="format" qualifier="mimetype" language="es_ES" mdschema="dc">application/pdf</dim:field>
<dim:field element="language" qualifier="iso" language="es_ES" mdschema="dc">en-GB</dim:field>
<dim:field element="rights" language="es_ES" mdschema="dc">Attribution-NonCommercial-NoDerivs 3.0 United States</dim:field>
<dim:field element="rights" qualifier="uri" language="es_ES" mdschema="dc">http://creativecommons.org/licenses/by-nc-nd/3.0/us/</dim:field>
<dim:field element="subject" language="es_ES" mdschema="dc">57 Lingüística</dim:field>
<dim:field element="subject" language="es_ES" mdschema="dc">5701 Lingüística aplicada</dim:field>
<dim:field element="subject" language="es_ES" mdschema="dc">570105 Lenguajes documentales</dim:field>
<dim:field element="subject" qualifier="other" language="es_ES" mdschema="dc">KGC</dim:field>
<dim:field element="title" language="es_ES" mdschema="dc">TikTok content trends on fashion influencers: An analysis of the content trends on TikTok of 6 fashion influencers</dim:field>
<dim:field element="type" language="es_ES" mdschema="dc">info:eu-repo/semantics/bachelorThesis</dim:field>
<dim:field element="rights" qualifier="accessRights" language="es_ES" mdschema="dc">info:eu-repo/semantics/openAccess</dim:field>
<dim:field element="keywords" language="es-ES" mdschema="dc">TikTok, Influencer, Engagement, Interacción, Contenido, Seguidores</dim:field>
<dim:field element="keywords" language="en-GB" mdschema="dc">TikTok, Influencer, Engagement, Interaction, Content, Followers</dim:field>
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