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Exploring the characteristics of opinion expressions for political opinion classification
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A Joint Topic and Perspective Model for Ideological Discourse
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Get out the vote: determining support or opposition from congressional floor-debate transcripts
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Language use as a reflection of socialization in online communities
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Historical analysis of legal opinions with a sparse mixed-effects latent variable model
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PolariCQ: polarity classification of political quotations
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In this paper we investigate the effect of the context of interaction on the extent to which a contributor's perspective bias is displayed through their lexical choice. We present a series of experiments on political discussion data. Our experiments indicate that (i) when people quote contributors with an opposing view, they tend to quote the words that are less strongly associated with the opposing view. (ii) Nevertheless, in quoting their opponents, the displayed bias of their word distributions shifts towards that of their opponents. (iii) The personal bias of the speaker is displayed most clearly through the words that are not quoted, (iv) although characteristics of the quoted message do have a measurable effect on the words that are included in the contribution. And, finally, (v) posts are influenced by the displayed bias of previous posts in a thread.