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2020 | OriginalPaper | Buchkapitel

Automated Detection of Nostalgic Text in the Context of Societal Pessimism

verfasst von : Lena Clever, Lena Frischlich, Heike Trautmann, Christian Grimme

Erschienen in: Disinformation in Open Online Media

Verlag: Springer International Publishing

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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.

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Titel: Automated Detection of Nostalgic Text in the Context of Societal Pessimism
verfasst von: Lena Clever
Lena Frischlich
Heike Trautmann
Christian Grimme
Verlag: Springer International Publishing
Buch: Disinformation in Open Online Media
Print ISBN: 978-3-030-39626-8

Electronic ISBN: 978-3-030-39627-5

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-39627-5_5

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