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dc.contributor.authorElahi, Mehdi
dc.contributor.authorJannach, Dietmar
dc.contributor.authorSkjærven, Lars
dc.contributor.authorKnudsen, Erik
dc.contributor.authorSjøvaag, Helle
dc.contributor.authorTolonen, Kristian
dc.contributor.authorHolmstad, Øyvind
dc.contributor.authorPipkin, Igor
dc.contributor.authorThrondsen, Eivind
dc.contributor.authorStenbom, Agnes
dc.contributor.authorFiskerud, Eivind
dc.contributor.authorOesch, Adrian
dc.contributor.authorVredenberg, Loek
dc.contributor.authorTrattner, Christoph
dc.date.accessioned2021-11-15T13:23:46Z
dc.date.available2021-11-15T13:23:46Z
dc.date.created2021-11-10T16:42:16Z
dc.date.issued2021
dc.identifier.issn2730-5953
dc.identifier.urihttps://hdl.handle.net/11250/2829620
dc.description.abstractReading or viewing recommendations are a common feature on modern media sites. What is shown to consumers as recommendations is nowadays often automatically determined by AI algorithms, typically with the goal of helping consumers discover relevant content more easily. However, the highlighting or filtering of information that comes with such recommendations may lead to undesired effects on consumers or even society, for example, when an algorithm leads to the creation of filter bubbles or amplifies the spread of misinformation. These well-documented phenomena create a need for improved mechanisms for responsible media recommendation, which avoid such negative effects of recommender systems. In this research note, we review the threats and challenges that may result from the use of automated media recommendation technology, and we outline possible steps to mitigate such undesired societal effects in the future.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTowards Responsible Media Recommendationen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 the authorsen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1007/s43681-021-00107-7
dc.identifier.cristin1953352
dc.source.journalAI and Ethicsen_US
dc.identifier.citationAI and Ethics. 2021.en_US


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