Automated detection of nostalgic text in the context of societal pessimism

Lena Clever; Lena Frischlich; Heike Trautmann; Christian Grimme

doi:10.1007/978-3-030-39627-5_5

Automated detection of nostalgic text in the context of societal pessimism

Lena Clever^*
, Lena Frischlich
, Heike Trautmann
, Christian Grimme

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	Disinformation in Open Online Media
Subtitle of host publication	First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers
Editors	Christian Grimme, Mike Preuss, Frank W. Takes, Annie Waldherr
Place of Publication	Cham
Publisher	Springer
Pages	48-58
Number of pages	11
ISBN (Electronic)	978-3-030-39627-5
ISBN (Print)	978-3-030-39626-8
DOIs	https://doi.org/10.1007/978-3-030-39627-5_5
Publication status	Published - 2020
Externally published	Yes
Event	Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2019 - Hamburg, Germany Duration: 27 Feb 2019 → 1 Mar 2019 https://2019.misdoom.org/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12021
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2019
Abbreviated title	MISDOOM 2019
Country/Territory	Germany
City	Hamburg
Period	27/02/19 → 1/03/19
Internet address	https://2019.misdoom.org/

Keywords

Emotion
Nostalgia
Propaganda
Text classification
n/a OA procedure

Access to Document

10.1007/978-3-030-39627-5_5

Cite this

Clever, L., Frischlich, L., Trautmann, H., & Grimme, C. (2020). Automated detection of nostalgic text in the context of societal pessimism. In C. Grimme, M. Preuss, F. W. Takes, & A. Waldherr (Eds.), Disinformation in Open Online Media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers (pp. 48-58). (Lecture Notes in Computer Science; Vol. 12021). Springer. https://doi.org/10.1007/978-3-030-39627-5_5

Clever, Lena ; Frischlich, Lena ; Trautmann, Heike et al. / Automated detection of nostalgic text in the context of societal pessimism. Disinformation in Open Online Media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers. editor / Christian Grimme ; Mike Preuss ; Frank W. Takes ; Annie Waldherr. Cham : Springer, 2020. pp. 48-58 (Lecture Notes in Computer Science).

@inproceedings{f74d3ed64af74bc9b5c5e4995813ce76,

title = "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 = "Emotion, Nostalgia, Propaganda, Text classification, n/a OA procedure",

author = "Lena Clever and Lena Frischlich and Heike Trautmann and Christian Grimme",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2019, MISDOOM 2019 ; Conference date: 27-02-2019 Through 01-03-2019",

year = "2020",

doi = "10.1007/978-3-030-39627-5\_5",

language = "English",

isbn = "978-3-030-39626-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "48--58",

editor = "Christian Grimme and Mike Preuss and Takes, \{Frank W.\} and Annie Waldherr",

booktitle = "Disinformation in Open Online Media",

address = "Germany",

url = "https://2019.misdoom.org/",

}

Clever, L, Frischlich, L, Trautmann, H & Grimme, C 2020, Automated detection of nostalgic text in the context of societal pessimism. in C Grimme, M Preuss, FW Takes & A Waldherr (eds), Disinformation in Open Online Media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers. Lecture Notes in Computer Science, vol. 12021, Springer, Cham, pp. 48-58, Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2019, Hamburg, Germany, 27/02/19. https://doi.org/10.1007/978-3-030-39627-5_5

Automated detection of nostalgic text in the context of societal pessimism. / Clever, Lena; Frischlich, Lena; Trautmann, Heike et al.
Disinformation in Open Online Media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers. ed. / Christian Grimme; Mike Preuss; Frank W. Takes; Annie Waldherr. Cham: Springer, 2020. p. 48-58 (Lecture Notes in Computer Science; Vol. 12021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Automated detection of nostalgic text in the context of societal pessimism

AU - Clever, Lena

AU - Frischlich, Lena

AU - Trautmann, Heike

AU - Grimme, Christian

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Emotion

KW - Nostalgia

KW - Propaganda

KW - Text classification

KW - n/a OA procedure

UR - https://www.scopus.com/pages/publications/85080862283

U2 - 10.1007/978-3-030-39627-5_5

DO - 10.1007/978-3-030-39627-5_5

M3 - Conference contribution

SN - 978-3-030-39626-8

T3 - Lecture Notes in Computer Science

SP - 48

EP - 58

BT - Disinformation in Open Online Media

A2 - Grimme, Christian

A2 - Preuss, Mike

A2 - Takes, Frank W.

A2 - Waldherr, Annie

PB - Springer

CY - Cham

T2 - Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2019

Y2 - 27 February 2019 through 1 March 2019

ER -

Clever L, Frischlich L, Trautmann H, Grimme C. Automated detection of nostalgic text in the context of societal pessimism. In Grimme C, Preuss M, Takes FW, Waldherr A, editors, Disinformation in Open Online Media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers. Cham: Springer. 2020. p. 48-58. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-39627-5_5

Automated detection of nostalgic text in the context of societal pessimism

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Keywords

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