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KH19

Abstract:

The so-called Overton window describes the phenomenon that political discourse takes place in a narrow window of terms that reflect the public consensus of acceptable opinions on some topic. In this paper we present a novel NLP approach to identify statements in a collection of newspaper articles that shift the borders of the Overton window at some period of time, and apply it on German newspaper texts detecting extreme statements about the refugee crisis in Germany.

Type: Inproceedings

Author: Christian Kahmann , Gerhard Heyer
Title: Measuring Context Change to Detect Statements Violating the Overton Window
Booktitle: 11th International Conference on Knowledge Discovery and Information Retrieval
Year: 2019
Address:
@INPROCEEDINGS{KH19,
AUTHOR = {Christian Kahmann , Gerhard Heyer},
TITLE = {Measuring Context Change to Detect Statements Violating the Overton Window},
BOOKTITLE = {11th International Conference on Knowledge Discovery and Information Retrieval},
YEAR = {2019}
}