In comparison to these approaches (fairness methods and pipelines), Dbias is a self-contained fair ML pipeline that has its own algorithms for detecting and mitigating biases. Dbias ensures that the fairness is maintained throughout the pipeline. According to research [4], the news media can ...
Cook, Christopher PCarol Pub. GroupInstituteofgeneralsemanticsLEE, Martin A. y Norman SOLOMON(1990) Unreliable sources: a guide to detecting bias in news media. New York: Carol Publishing Group.Lee, M. A., & Solomon, N. (1991). Unreliable sources: A guide to detecting bias in news ...
After the 2016 US presidential election, partisan individuals were more likely to believe headlines that favored their preferred candidate. This ideological bias was substantially more robust for those who relied on ideology-based social media networks. Bail et al.8 conducted a field experiment that ...
In this paper, we analyze differences in perspective between timelines created by news agencies from various countries. By employing methods for date and headline selection, which have been extensively evaluated in previous work, we show several types of bias that exist in the media landscape. As ...
Thus, as children develop sociocognitive skills with age, they learn to reason about informants’ beliefs and intentions, exert cognitive control to overcome an initial bias to trust what an informant says, and consequently become more skeptical of false testimony (Harris et al., 2017). Children...
Public opinion is shaped by the information news media provide, and that information in turn may be shaped by the ideological preferences of media outlets. But while much attention has been devoted to media bias via overt ideological language or topic selection, a more unobtrusive way in which ...
Our paper makes the following contributions: (1) We raise the important and practical problem of studying political bias in text corpora, and we assemble a data set from Twitter to study this problem. Our code, the data sets of the examined politicians, and the embedding results of our ...
Williams HUM/111 September 8‚ 2013 Martha Taylor “Detecting Bias Media” The importance of making critical evaluations of news stories come to play in the recent story about the Trayvon Martin and George Zimmerman case. This was a story about a young black teenager and a neighborhood ...
(4)–(6): (4)uv=UTtanhWvhv+bv (5)αv=expuv∑iexpuv (6)sv=∑iαihvwhere Wv represents a weight matrix, bv is a bias term, UT represents a transposed weight vector, and u is a scoring function that evaluates the importance of every single eigenvector. After that, the softmax ...
Another technique that is commonly used is the radio frequency (RF) related endpoint technique. In the RF technique, changes in RF parameters, primarily in the Bias RF delivery, are detected when new films are exposed at endpoint. However, for applications, such as the TSV Reveal, the main ...