... Accepted papers
Christoph Hube and Besnik Fetahu
Detecting Biased Statements in Wikipedia
Hi Christoph and Besnik,
Having worked with several thousand of Amazon Mechanical Turkers over
the past year, I am not convinced that their opinions of bias, even in
aggregate, are not biased. Did you take any steps to measure the bias
against accuracy in your crowdworkers?
Here is an example of what I expect they would get wrong:
"Tax cuts allow consumers to increase their spending, which boosts
That statement, added by en:User:Bkwillwm in 2012, is still part of
the English Wikipedia's Economics article. However, the statement is
strictly inaccurate, and heavily biased in favor of trickle-down
economics and austerity policy. It and statements like it,
pervasive through many if not most of the popular language Wikipedias,
directly support increases in income inequality, which in turn is a
terrible scourge affecting both health and economic growth.
How can you measure whether your crowdworkers are truly unbiased
relative to accuracy, instead of just reflecting the
propaganda-influenced whims of the populist center?