Mining Stereotypes

Identifying implicit stereotypical view in natural language through automatic linguistic analyses: Network Institute Academy Assistants Projects 2015 (2015-2016)

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Project description

Stereotypical views about social groups (e.g., Muslims, Germans, women, immigrants) play a pervasive role in how we perceive and interact with people. Stereotypes emerge from the way we communicate about categorized people and their behavior both privately and in the media. It is valuable to learn about the exact (linguistic) means through which such (negative) stereotypical views become shared within communities.
The present project aims to merge complementary approaches, and thereby develop a methodology for using NLP1 to automatically identify content and strength of stereotypes about specific groups shared within communities. Read more…

Researchers

Researchers involved in this project are Camiel Beukeboom and Antske Fokkens.

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