Privacy concerns about information sharing as trade-off for personalized news
DOI:
https://doi.org/10.3145/epi.2018.ene.02Keywords:
Big data, Datawall, Media, Personalized news, Audiences, Privacy, Personal information, Digital news report, Spain, Datos masivos, Muro de pago, Medios, Noticias personalizadas, Audiencias, Privacidad, Información personal,Abstract
Los medios de comunicación pueden establecer un muro de pago con datos (datawall) solicitando a los lectores que compartan información a cambio de beneficiarse de servicios como recibir noticias personalizadas. Sin embargo, esto puede significar la pérdida de anonimato, y los miembros de la audiencia pueden sentir que están poniendo en riesgo su privacidad. En esta investigación, utilizando datos del Digital news report 2016, observamos que las audiencias de noticias online en España están preocupadas por los riesgos de privacidad relacionados con el acceso a noticias personalizadas. Su nivel de preocupación varía atendiendo a sus características demográficas o a cómo acceden a las noticias digitales. Los medios de comunicación deben tener en cuenta estos resultados ya que la obtención de datos personales es esencial para implementar estrategias de datos masivos (big data), pero si no se realiza adecuadamente puede suponer perder la confianza de la audiencia.
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Abstract
In order to personalize news, the media must collect data from the audience. Media can establish a "datawall" for this task, which requires readers to share information to benefit from these valuable services. However, this may mean the loss of anonymity, and audience members may feel they are placing their privacy at risk. In this research, using data from the Digital news report 2016, we observe that online news audiences in Spain are worried about the privacy risks related to accessing personalized news. Their level of concern varies depending on demographic characteristics or how they access digital news. Media companies should take audience concerns into account because they do not want to lose audience trust in the process of capturing personal information for big data strategies.
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