Third International Conference on Communication & Media Studies

Abstract

Personalization algorithms filter and prioritize news in ways that may not be apparent to users. Algorithms that filter individual information work as centralized determiners of news and videos feeds. Social Media works as a catalyst for confirming bias and supporting preconceived beliefs. Therefore, they increase polarization in society. Hence, the centralized platforms are considered as new monopolists prey on users. Previous studies center on practices of algorithms’ news feed on Facebook and Google. But there is no caring about how it affect content creators which they may close the misinformation and fake news loop. This Study examines to what extent users, content creators are aware of algorithms of personalization content, and what is the relationships of the degree of awareness and users engagement and creators’ content production practices? How awareness and algorithmic literacy may be a way to rationalize consuming and face bias of Social Media? And how the actions and criteria that affect content selection and prioritization foster polarization? This paper outlines an approach to studying how users perceive the algorithmic “curation” of the feeds, using YouTube as a sample case. To carry out this research it will use a survey method research. A self –completion questionnaire will be distributed to a sample of (400) users and ( 50 ) of you tubers. to examine their awareness of YouTube algorithmically curated feeds. Moreover, seek to draw model explain new gatekeeper theory and its relations to Agenda setting.