Conference paper Open Access

Bursting the Bubble: Tool for Awareness and Research about Overpersonalization in Information Access Systems

Antrea Chrysanthou; Pınar Barlas; Kyriakos Kyriakou; Styliani Kleanthous; Jahna Otterbacher


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    "title": "Bursting the Bubble: Tool for Awareness and Research about Overpersonalization in Information Access Systems", 
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    "notes": "This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE \u2013 Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.", 
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    "keywords": [
      "Information filtering", 
      "Overpersonalization"
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    "publication_date": "2020-03-01", 
    "creators": [
      {
        "affiliation": "Research Centre on Interactive Media, Smart Systems & Emerging Technologies (RISE Ltd.) Nicosia, Cyprus", 
        "name": "Antrea Chrysanthou"
      }, 
      {
        "affiliation": "Research Centre on Interactive Media, Smart Systems & Emerging Technologies (RISE Ltd.) Nicosia, Cyprus", 
        "name": "P\u0131nar Barlas"
      }, 
      {
        "orcid": "0000-0003-4200-5718", 
        "affiliation": "Research Centre on Interactive Media, Smart Systems & Emerging Technologies (RISE Ltd.) Nicosia, Cyprus", 
        "name": "Kyriakos Kyriakou"
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      {
        "affiliation": "Cyprus Center for Algorithmic Transparency, Open University of Cyprus Nicosia, Cyprus", 
        "name": "Styliani Kleanthous"
      }, 
      {
        "orcid": "0000-0002-7655-7118", 
        "affiliation": "Cyprus Center for Algorithmic Transparency, Open University of Cyprus Nicosia, Cyprus", 
        "name": "Jahna Otterbacher"
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    "description": "<p>Modern information access systems extensively use personalization, automatically filtering and/or ranking content based on the<br>\nuser profile, to guide users to the most relevant material. However, this can also lead to unwanted effects such as the &ldquo;filter bubble.&quot;<br>\nWe present an interactive demonstration system, designed as an educational and research tool, which imitates a search engine, personalizing the search results returned for a query based on the user&rsquo;s characteristics. The system can be tailored to suit any type of<br>\naudience and context, as well as enabling the collection of responses and interaction data.</p>"
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