Automated detection of nostalgic text in the context of societal pessimism

Lena Clever, Frischlich Lena, Trautmann Heike, Grimme Christian


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



Publication type
Conference Paper

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

Pages range
48-58