@inproceedings{lin-hauptmann-2008-vox,
title = "Vox Populi Annotation: Measuring Intensity of Ideological Perspectives by Aggregating Group Judgments",
author = "Lin, Wei-Hao and
Hauptmann, Alexander",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/600_paper.pdf",
abstract = "Polarizing discussions about political and social issues are common in mass media. Annotations on the degree to which a sentence expresses an ideological perspective can be valuable for evaluating computer programs that can automatically identify strongly biased sentences, but such annotations remain scarce. We annotated the intensity of ideological perspectives expressed in 250 sentences by aggregating judgments from 18 annotators. We proposed methods of determining the number of annotators and assessing reliability, and showed the annotations were highly consistent across different annotator groups.",
}
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<abstract>Polarizing discussions about political and social issues are common in mass media. Annotations on the degree to which a sentence expresses an ideological perspective can be valuable for evaluating computer programs that can automatically identify strongly biased sentences, but such annotations remain scarce. We annotated the intensity of ideological perspectives expressed in 250 sentences by aggregating judgments from 18 annotators. We proposed methods of determining the number of annotators and assessing reliability, and showed the annotations were highly consistent across different annotator groups.</abstract>
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%0 Conference Proceedings
%T Vox Populi Annotation: Measuring Intensity of Ideological Perspectives by Aggregating Group Judgments
%A Lin, Wei-Hao
%A Hauptmann, Alexander
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F lin-hauptmann-2008-vox
%X Polarizing discussions about political and social issues are common in mass media. Annotations on the degree to which a sentence expresses an ideological perspective can be valuable for evaluating computer programs that can automatically identify strongly biased sentences, but such annotations remain scarce. We annotated the intensity of ideological perspectives expressed in 250 sentences by aggregating judgments from 18 annotators. We proposed methods of determining the number of annotators and assessing reliability, and showed the annotations were highly consistent across different annotator groups.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/600_paper.pdf
Markdown (Informal)
[Vox Populi Annotation: Measuring Intensity of Ideological Perspectives by Aggregating Group Judgments](http://www.lrec-conf.org/proceedings/lrec2008/pdf/600_paper.pdf) (Lin & Hauptmann, LREC 2008)
ACL