Automated detection of nostalgic text in the context of societal pessimism

Clever Lena, Lena Frischlich, Heike Trautmann, Christian Grimme

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationDisinformation in open online media
Subtitle of host publicationFirst Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers
EditorsChristian Grimme, Mike Preuß, Frank Takes, Annie Waldherr
PublisherSpringer International Publishing AG
Pages48-58
Number of pages11
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventMultidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2019 - Hamburg, Germany
Duration: 27 Feb 20191 Mar 2019
https://2019.misdoom.org/

Publication series

NameLecture Notes in Computer Science
Volume12021

Conference

ConferenceMultidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2019
Abbreviated titleMISDOOM 2019
CountryGermany
CityHamburg
Period27/02/191/03/19
Internet address

Fingerprint Dive into the research topics of 'Automated detection of nostalgic text in the context of societal pessimism'. Together they form a unique fingerprint.

Cite this