Date of Original Version
Proceedings of the NAACL HLT Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk
Copyright 2010 ACL
Abstract or Description
This paper considers the linguistic indicators of bias in political text. We used Amazon Mechanical Turk judgments about sentences from American political blogs, asking annotators to indicate whether a sentence showed bias, and if so, in which political direction and through which word tokens. We also asked annotators questions about their own political views. We conducted a preliminary analysis of the data, exploring how different groups perceive bias in different blogs, and showing some lexical indicators strongly associated with perceived bias.
Proceedings of the NAACL HLT Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, 152-158.