Automated detection of nostalgic text in the context of societal pessimism
Abstract
In online media environments, nostalgia can be used as important ingredient of propaganda strategies, specifically, by creating societal pessimism. This work addresses the automated detection of nostalgic text as a first step towards automatically identifying nostalgia-based manipulation strategies. We compare the performance of standard machine learning approaches on this challenge and demonstrate the successful transfer of the best performing approach to real-world nostalgia detection in a case study.
Keywords
Nostalgia; Emotion: Text classification
Cite as
Lena, C., Frischlich, L., Trautmann, H., & Grimme, C. (2020). Automated detection of nostalgic text in the context of societal pessimism. In Proceedings of the MISDOOM 2019, Hamburg, Deutschland, 48–58.Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2020
Conference
MISDOOM 2019
Venue
Hamburg, Deutschland
Book title
Disinformation in open online media
Editor
Grimme Christian, Preuß Mike, Takes Frank, Waldherr Annie
Start page
48
End page
58
Language
English