Bursting the Filter Bubble
Jah-Wren Ryel writes with news that a few CS folks are working on a way to present opposing viewpoints without angering the reader. From the article: "Computer scientists have discovered a way to number-crunch an individual's own preferences to recommend content from others with opposing views. The goal? To burst the 'filter bubble' that surrounds us with people we like and content that we agree with. A recent example of the filter bubble at work: Two people who googled the term 'BP.' One received links to investment news about BP while the other received links to the Deepwater Horizon oil spill, presumably as a result of some recommendation algorithm."
From the paper's abstract: "We found that recommending topically relevant content from authors with opposite views in a baseline interface had a negative emotional effect. We saw that our organic visualization design reverts that effect. We also observed significant individual differences linked to evaluation of recommendations. Our results suggest that organic visualization may revert the negative effects of providing potentially sensitive content."
i'm a generalist, i work in a few fields, including EE and CS - my colleague is pure CS
we're trying to have a conversation about a topic (distributed clocks) and based on our histories
we get entirely different search results, completely non-overlapping. his are general distributed
systems results and mine are narrowly turned to sensor networks
i had to ask him to make me a bibliography because I got sent into an entirely different
alleyway of the literature
thanks google
"I know you won't believe me, but the highest form of Human Excellence is to question oneself and others." - Socrates
It is good to see someone researching ways to combat group think with technology.
If a nation expects to be ignorant and free, in a state of civilization, it expects what never was and never will be-T J