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Periodyk Naukowy Akademii Polonijnej
Article . 2022 . Peer-reviewed
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SOCIAL MEDIA AND FILTER BUBBLES

Authors: Olena Shcherbakova; Svitlana Nikiforchuk;

SOCIAL MEDIA AND FILTER BUBBLES

Abstract

The aim of this paper is to analyze the media bubbles and media footprint in social medias. The authors reflect the ways numerous online hubs are personalizing the Internet for their users, so people have media bubbles as an effect when the algorithms of social networks and search engines personally select what posts and links to show. The information bubble is related to the peculiarities of the cognitive activity. People choose information that supports their point of view and isolate what will confirm their opinion from the whole array of facts and information, a “Confirmation Bias”. Turning students’ attention to their own filter bubbles on social media, a space where they may have already developed an array of literacies, the authors warn the students that media bubbles can be dangerous. There are tasks to analyze the media fields of students and also there are ways to filter out information flows, preserve and develop critical thinking. The authors give examples of tasks for bachelor level students in the discipline “Info-Media Literacy and Critical Thinking”.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold