2016
DOI: 10.3325/cmj.2016.57.298
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The filter bubble and its effect on online personal health information

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Cited by 65 publications
(41 citation statements)
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“…Since a majority of the public is dependent on information on the refugee situation stemming from new and traditional media (see Chapter 7), the role of a possible online filter bubble functions as an important factor in the search for sustainable answers. Some of the previous studies testing the filter bubble hypothesis have zoomed in on other controversial yet highly socially relevant issues such as climate change (Walter et al, 2018), personal health (Holone, 2016), or elections (Vaccari et al, 2016). To our knowledge, it is the first time that the filter bubble hypothesis has been studied in the context of the refugee issue and in a cross-cultural sample (Belgium, France, the Netherlands, and Sweden).…”
Section: Digital Opportunities Vs Online Threats To Democracymentioning
confidence: 94%
“…Since a majority of the public is dependent on information on the refugee situation stemming from new and traditional media (see Chapter 7), the role of a possible online filter bubble functions as an important factor in the search for sustainable answers. Some of the previous studies testing the filter bubble hypothesis have zoomed in on other controversial yet highly socially relevant issues such as climate change (Walter et al, 2018), personal health (Holone, 2016), or elections (Vaccari et al, 2016). To our knowledge, it is the first time that the filter bubble hypothesis has been studied in the context of the refugee issue and in a cross-cultural sample (Belgium, France, the Netherlands, and Sweden).…”
Section: Digital Opportunities Vs Online Threats To Democracymentioning
confidence: 94%
“…Unless one searches directly in academic databases (like PubMed, pointing to the research articles, which are in many instances “pay per view”), the results from general online searches using Google or Bing will combine quite different sources, which do not need to be directly related to relevant or evidence-based knowledge. The search results also differ between two users searching exactly the same, because they are formed by the algorithms of a particular search engine that organize and present the information, and by the individual search history as a preference (9). …”
Section: The Geography Of Knowledge Landscapes In the Digital Realmmentioning
confidence: 99%
“…In the context of health information, Holone [26] extensively problematized the phenomenon, albeit without drawing on specific empirical research. Current research on Google search indeed supports claims on search results personalization [i.e., on average 13% of search results differ; 27], albeit without considering health issues.…”
Section: Search Personalization Mechanismsmentioning
confidence: 99%