Eli Pariser on Filter Bubbles - Dictionary of Arguments
Filter bubbles/Pariser: Google Instant has been guessing since autumn 2011 what you look for and automatically completes queries.
Eric Schmidt believes that users want Google to tell them what to do next. (1)
Filter bubbles/Pariser: this is what prognosis machines create for each of us, a quite unique information universe. In this way, they fundamentally change how we get ideas and information (...) the filter bubbles bring new dynamics into play (...) We are sitting alone in a bubble, since shared information...
...is the requirement for shared experience, the filter bubble acts as a centrifugal force and drives us apart.
We will soon be using all personalized search filters, whether we know it or not.
In the bubble there is less space for chance encounters through which we can gain insights and learn.
News/Fake News/False Report/Problem: what if the news landscape is so fragmented that corrections of false messages or lies do not reach the individual anymore?
Responsibility/Pariser: In contrast to newspapers, filter bubbles have no public responsibility, even though they take on roles in the news industry.
Media/Intermediate Bodies/Pareles/Pariser: according to a thesis by New York Times critic Jon Pareles, the Internet removes an intermediary between citizens and news, a role previously held by the media. (2)
PariserVsPareles: this "disintermediation" is probably more a myth than a fact. In reality, the new gatekeepers only become invisible.
Corruption/Shirky/Pariser: Clay Shirky asks: How can politicians still be threatened to sound the alarm if it becomes too corrupt? (3) - Pariser: in the past this was on the front page, but you can forget that nowadays, because there is no longer such a front page when messages are cut personally.
Problem/Pariser: you cannot zoom out of a personalized filter. (See also Knowledge/Pariser).
Filter/Identity/Personalized Search/Pariser: the personalized search misjudges the fact that we have different identities at different times or in different situations. There are e. g. a work-me, a leisure-me, a wash-me and a now-me.
The filter bubble, however, has only to do with the "now-me" that is clicking.
However, other methods of analysis produce differences, the so-called "mood analysis" can reveal which mood you are in. This is determined by the choice of words in posts, SMS and emails.
1. James Farrar, »Google to End Serendipity (by Creating It)«, ZDNet, 17. 08. 2010, aufgerufen am 19.12. 2010, www.zdnet.com/blog/sustainability/google-to-end-serendipity-by-creating-it/1304
2. John Pareles, »A World of Megabeats and Megabytes«, New York Times, 30.12. 2009, aufgerufen am 11.12. 2010, www.nytimes.com/2010/01/03/arts/music/03tech.html
3. Jay Rosen im Interview mit Clay Shirky, Video, Chapter 5 »Why Study Media?«, NYU Primary Sources, New York 2011, aufgerufen am 09. 02. 2011, http://nyuprimarysources.org/video-library/jay-rosen-and-clay-shirky/_____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Author1]Vs[Author2] or [Author]Vs[term] is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.
The Filter Bubble: How the New Personalized Web Is Changing What We Read and How We Think London 2012