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Public Knowledge of Alternative Media in Times of Algorithmically Personalized News

New media & society(2021)

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摘要
Citizens are likely to encounter various types of alternative media online, especially on algorithmically personalized news channels (APNC) like social network sites or search engines. It is unclear, however, to what degree they are aware of these outlets and familiar with the concept of alternative media. This study investigates the relation between exposure to alternative media and knowledge of them, taking the role of APNC into account. Analyzing representative survey data of German Internet users, we find a gap: While many individuals report to use alternative media, few of them are able to name alternative media titles matching scholarly conceptions. Although the use of APNC increases self-reported exposure to alternative media, it does not improve actual knowledge of them. All in all, many Internet users have little awareness of alternative media and do not clearly distinguish between different types of sources they come across online.
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关键词
Algorithmically personalized news,alternative media,Germany,intermediaries,media literacy,news recommender systems
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