An interesting post by Denyse O’Leary over at Mercatornet.com — and yet another battlefield in the information war where conservatives are ill-equipped to fight:
American psychologist Robert Epstein explains how search engine rankings can be manipulated. From Wired:
Epstein’s paper combines a few years’ worth of experiments in which Epstein and his colleague Ronald Robertson gave people access to information about the race for prime minister in Australia in 2010, two years prior, and then let the mock-voters learn about the candidates via a simulated search engine that displayed real articles.
One group saw positive articles about one candidate first; the other saw positive articles about the other candidate. (A control group saw a random assortment.) The result: Whichever side people saw the positive results for, they were more likely to vote for—by more than 48 percent. The team calls that number the “vote manipulation power,” or VMP. The effect held—strengthened, even—when the researchers swapped in a single negative story into the number-four and number-three spots. Apparently it made the results seem even more neutral and therefore more trustworthy.
The researchers verified the result in an actual election in India in 2014. The effect is called “recency,” meaning that people tend to be affected by the information they heard most recently.
Search engine algorithms are not neutral:
“It’s not really possible to have a completely neutral algorithm,” says Jonathan Bright, a research fellow at the Oxford Internet Institute who studies elections. “I don’t think there’s anyone in Google or Facebook or anywhere else who’s trying to tweak an election. But it’s something these organizations have always struggled with.” Algorithms reflect the values and worldview of the programmers. That’s what an algorithm is, fundamentally. “Do they want to make a good effort to make sure they influence evenly across Democrats and Republicans? Or do they just let the algorithm take its course?” Bright asks.
Read more: Mercatornet.com
Image credit: www.mercatornet.com.
