ARTIFICIAL INTELLIGENCE IN SOCIAL MEDIA 2
Introduction
After researching different types of technology used in social media, it was decided that
this study will focus on artificial intelligence (AI) in social media. The use of AI in social media
is becoming a large part of media usage in today’s world and its use is becoming the norm in
most aspects of technology. AI in social media has given many social media platforms the ability
to change the view and content for each and every user. This includes serving up ads using
previous search history based on cookies, and giving users specific suggestions as to whom they
should follow, what they should buy, and especially this year, political ads that attempt to
influence user views and opinions. After researching how AI affects social media, mediatization
emerged as a good example of the use of AI in this capacity. Mediatization is a theory that
describes how media platforms shape and frame the processes and written content of political
communication as well as the society in which that communication takes place. Mediatization
can be observed in AI in social media because AI can shape the content and the type of media
the users see, such as voice, video, graphics, or print, as well as how often they are exposed to it
in terms of ad exposure and political influence. The purpose of this paper is to take a deep dive
into how AI affects the content displayed to social media users in order to educate them that
what each user sees on a day to day basis is influenced by AI.
Researching AI and its influences on social media is very important to expanding users’
knowledge of media literacy and criticism because it allows people to understand the influence
media has on the media population, which allows media users to be more critical and insightful
in terms of how everyday users view and understand the role of social media. This is a very
interesting topic, especially in this election year. This type of knowledge does not only help