User:CCools/sandbox

Algorithmic Gatekeeping
The term algorithmic gatekeeping refers to the process by which social media platforms and search and recommendation engines determine what a user sees and does not see using personalization algorithms that tailor information based on data collected about the user. These algorithmic systems are black boxes. With communication, politics, commerce, and knowledge increasingly shifting online, information intermediaries including Google and Facebook are emerging gatekeepers in society, a position once restricted to traditional media journalists. The consequence of personalization algorithms used in algorithmic gatekeeping is that users may become encapsulated in filter bubbles. Filter bubbles are further exacerbated by confirmation bias.