Sentence examples for bias concerns from inspiring English sources

"Google's proposed commitments intended to resolve the search bias concerns are ineffective by design, and we have asked the commission to reject them in their entirety," Thomas Vinje, a spokesman for FairSearch Europe, said in a statement on Wednesday.

Eric A. Goldstein, a lawyer with the Natural Resources Defense Council in New York who is also a member of an advisory panel on drilling convened by Mr. Martens, played down the bias concerns, noting that the public comment period would provide New Yorkers a chance to identify any problems in the report.

Citation bias concerns the selective citation of scientific articles based on their results.

The first source of bias concerns network ties, because having a strong network is likely to make that state attractive to an immigrant.

In this context, test bias concerns the extent to which the link between predictor test true scores and outcome test observed scores differ for two groups.

Many sites tend to discourage this practice because of obvious bias concerns, but Shelfari believes the interaction to be seen between authors and their fans will compensate for this drawback.

In this paper, we show that random selection of EEG epochs disregarding the alpha rhythm will lead to bias concerning EEG-based Alzheimer's Disease diagnosis.

Even before media and the public began questioning Facebook's supposed "news bubble" in the aftermath of Brexit and the election, the US Senate demanded an official explanation from Zuckerberg about the platform's perceived liberal bias concerning trending topics.

Salerno's counter argument to the population bias concern is that using a mainstream mobile platform as a research conduit can make the study more inclusive than traditional research when it comes to reaching certain demographics.

Using this technique, the bias concerning the occupational level shifts from 69.38% before matching to 1.63% after matching and the one concerning the Mincerian individual wage fixed effect shifts from 44.79 to 1.04%.

Based on a criminology perspective, one could expect to find gender bias concerning the penalty severity for academic dishonesty, where female students would receive less severe penalties than male students.