CRIS

Permanent URI for this communityhttps://investigadores.udd.cl/handle/123456789/1

Browse

Settings

Subject: search.filters.subject.social networks

Search Results

Now showing 1 - 6 of 6
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
      1Scopus© Citations 5
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    ARAPP: Análisis y Resumen Automático de Políticas de Privacidad
    (2023)
    Rodrigo Alfaro
    ;
    René Venegas
    ;
    Alan Bronfman
    ;
    Miguel Valenzuela
    ;
    Stephanie Riff
    <jats:p>Un derecho fundamental de los usuarios de aplicaciones informáticas es que puedan conocer las políticas de privacidad (PP) que tales aplicaciones establecen, en particular es relevante que conozcan acerca del tratamiento que aceptan sobre el uso de sus datos. No obstante, estas PP son muy extensas y escritas en un lenguaje administrativo-jurídico y comercial, lo que dificulta su lectura y comprensión. El objetivo de este artículo es resumir automatizadamente las PP de cinco aplicaciones de redes sociales (Facebook, Twitter, TikTok, Snapchat e Instagram) en español, a través de técnicas extractivas y abstractivas. Para ello se utilizan tres aproximaciones de representación desde el Procesamiento de Lenguaje Natural, estas son: Teoría de Grafos, TF-IDF y Gensim. A partir de ellas, se generan automáticamente 15 resúmenes, los que son evaluados por un experto en derecho, para medir la legibilidad y relevancia en base a 20 preguntas confeccionadas por un estudio de la Universidad de Austin, Texas. Por último, a partir de una clasificación de cada política de privacidad, según distintos factores de riesgos, se comprueba que el método Gensim es el más adecuado para la representación y resumen. Además se identifica a Snapchat como la aplicación que mejor cumple dichosfactores.</jats:p>
      9
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Bots don’t Vote, but They Surely Bother!
    (2022)
    Eduardo Graells-Garrido
    ;
    Ricardo Baeza-Yates
      8Scopus© Citations 6
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Scopus© Citations 42  1
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Representativeness of Abortion Legislation Debate on Twitter: A Case Study in Argentina and Chile
    (2020)
    Eduardo Graells-Garrido
    ;
    Ricardo Baeza-Yates
    ;
    Mounia Lalmas
      10Scopus© Citations 19
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    A Sustainable Management Model for Cultural Creative Tourism Ecosystems
    (2020)
    Blanca García Henche
    ;
    SALVAJ CARRERA, ERICA HELENA  
    ;
    Pedro Cuesta-valiño
    <jats:p>This article proposes a novel management model for cultural, creative, and historic tourism cities. The creation of the model is based on previous literature and in the study of Barrio de las Letras, in Madrid, to identify the key components to successfully develop creative tourism ecosystems. The model integrates the literature on city center management and, unlike previous studies, incorporates missing elements, such as the role of small businesses associations and collaboration networks among diverse stakeholders to develop a cultural–historic tourism ecosystem. This model represents a proposal that supports the coexistence of the private and public sector and sustainable governance models that integrate the inhabitants of city centers with the economic activity generated by urban tourism. The model was developed by an analysis of secondary sources, interviews with key informants, and questionnaires of entrepreneurs located in a recently invigorated cultural and historic neighborhood. The contribution of knowledge offered by this paper is the proposition of a management model that can aid town centers to create competitive cultural/creative/historic tourism ecosystems while still preserving the sustainability of their social/commercial fabric. Therefore, the collaboration of cultural organizations, hospitality industry and retail can promote cultural, creative, and sustainable management model of historic urban centers.</jats:p>
    Scopus© Citations 36  5