Filter Bubble
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A Filter Bubble is the isolation or dilution of outside information by algorithms. An ethnocentric environment is facilitated when algorithms return content based on assumed user relevance. In turn, users are less exposed to opposing viewpoints and steer towards content that echoes reflect ethnocentric ideologies[1]. The term first appeared in Eli Pariser's novel Filter Bubble, where he noted how personalization is changing the web and the dangers of becoming isolated in one's own beliefs[2].
Recent political campaigns have pushed filter bubble's into mainstream discourse. Some argue they are a driving factor behind upset political victories, such as Brexit and Trump's campaign [3]. ocial media rely on a relevance based algorithm to sort displayed content[4]. For the first time ever, 62% of American adults receive their news from social media[5]. As media platforms, these sites control the flow of information and political discourse, isolating users in their own cultural or ideological convictions. This became apparent in the Wall Street Journal's article titled "Red Feed, Blue Feed"[6].
Contents
Abstract
Uses
Publication
Social Media as News Media Platforms
Research
Quotes
“Your computer monitor is a kind a one-way mirror, reflecting your own interests while algorithmic observers watch what you click.” ― Eli Pariser[7]
References
- ↑ http://www.npr.org/sections/alltechconsidered/2016/07/24/486941582/the-reason-your-feed-became-an-echo-chamber-and-what-to-do-about-it
- ↑ https://www.youtube.com/watch?v=SG4BA7b6ORo
- ↑ https://www.theguardian.com/media/2017/jan/08/eli-pariser-activist-whose-filter-bubble-warnings-presaged-trump-and-brexit
- ↑ https://cs.illinois.edu/sites/default/files/files2/sigir11_cwang.pdf
- ↑ http://www.journalism.org/2016/05/26/news-use-across-social-media-platforms-2016/
- ↑ "Red Feed, Blue Feed"
- ↑ The Filter Bubble: What the Internet is Hiding From You
More to come. [Kennedy Kaufman]
