Automated detection of nostalgic text in the context of societal pessimism Lena, Clever Frischlich, Lena Trautmann, Heike Grimme, Christian Grimme, Christian Preuß, Mike Takes, Frank Waldherr, Annie 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. 2020 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/46327 Lena C, Frischlich L, Trautmann H, Grimme C. Automated detection of nostalgic text in the context of societal pessimism. In: Grimme C, Preuß M, Takes F, Waldherr A, eds. <i>Disinformation in Open Online Media</i>. ; 2020:48–58. eng info:eu-repo/semantics/closedAccess