A Cancel Culture Corpus through the Lens of Natural Language Processing

Justus-Jonas Erker; Catalina Goanta; Gerasimos Spanakis

A Cancel Culture Corpus through the Lens of Natural Language Processing

Justus-Jonas Erker, Catalina Goanta, Gerasimos Spanakis

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

Abstract

Cancel Culture as an Internet phenomenon has been previously explored from a social and legal science perspective. This paper demonstrates how Natural Language Processing tasks can be derived from this previous work, underlying techniques on how cancel culture can be measured, identified and evaluated. As part of this paper, we introduce a first cancel culture data set with of over 2.3 million tweets and a framework to enlarge it further. We provide a detailed analysis of this data set and propose a set of features, based on various models including sentiment analysis and emotion detection that can help characterizing cancel culture.

Original language	English
Title of host publication	Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference
Publisher	European Language Resources Association
Pages	17-25
Number of pages	9
Publication status	Published - 1 Jun 2022
Event	Language Technology and Resources for a fAir, Inclusive, and Safe SociEty - Marseille, France Duration: 25 Jun 2022 → 25 Jun 2022 https://lateraisse.github.io/

Workshop

Workshop	Language Technology and Resources for a fAir, Inclusive, and Safe SociEty
Country/Territory	France
City	Marseille
Period	25/06/22 → 25/06/22
Internet address	https://lateraisse.github.io/

Access to Document

https://aclanthology.org/2022.lateraisse-1.3Licence: CC BY-NC

Cite this

Erker, J.-J., Goanta, C., & Spanakis, G. (2022). A Cancel Culture Corpus through the Lens of Natural Language Processing. In Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference (pp. 17-25). European Language Resources Association. https://aclanthology.org/2022.lateraisse-1.3

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title = "A Cancel Culture Corpus through the Lens of Natural Language Processing",

abstract = "Cancel Culture as an Internet phenomenon has been previously explored from a social and legal science perspective. This paper demonstrates how Natural Language Processing tasks can be derived from this previous work, underlying techniques on how cancel culture can be measured, identified and evaluated. As part of this paper, we introduce a first cancel culture data set with of over 2.3 million tweets and a framework to enlarge it further. We provide a detailed analysis of this data set and propose a set of features, based on various models including sentiment analysis and emotion detection that can help characterizing cancel culture.",

author = "Justus-Jonas Erker and Catalina Goanta and Gerasimos Spanakis",

note = "Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA).; Language Technology and Resources for a fAir, Inclusive, and Safe SociEty ; Conference date: 25-06-2022 Through 25-06-2022",

year = "2022",

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booktitle = "Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference",

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Erker, J-J, Goanta, C & Spanakis, G 2022, A Cancel Culture Corpus through the Lens of Natural Language Processing. in Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference. European Language Resources Association, pp. 17-25, Language Technology and Resources for a fAir, Inclusive, and Safe SociEty, Marseille, France, 25/06/22. <https://aclanthology.org/2022.lateraisse-1.3>

A Cancel Culture Corpus through the Lens of Natural Language Processing. / Erker, Justus-Jonas; Goanta, Catalina; Spanakis, Gerasimos.
Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference. European Language Resources Association, 2022. p. 17-25.

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

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T1 - A Cancel Culture Corpus through the Lens of Natural Language Processing

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Y1 - 2022/6/1

N2 - Cancel Culture as an Internet phenomenon has been previously explored from a social and legal science perspective. This paper demonstrates how Natural Language Processing tasks can be derived from this previous work, underlying techniques on how cancel culture can be measured, identified and evaluated. As part of this paper, we introduce a first cancel culture data set with of over 2.3 million tweets and a framework to enlarge it further. We provide a detailed analysis of this data set and propose a set of features, based on various models including sentiment analysis and emotion detection that can help characterizing cancel culture.

AB - Cancel Culture as an Internet phenomenon has been previously explored from a social and legal science perspective. This paper demonstrates how Natural Language Processing tasks can be derived from this previous work, underlying techniques on how cancel culture can be measured, identified and evaluated. As part of this paper, we introduce a first cancel culture data set with of over 2.3 million tweets and a framework to enlarge it further. We provide a detailed analysis of this data set and propose a set of features, based on various models including sentiment analysis and emotion detection that can help characterizing cancel culture.

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BT - Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference

PB - European Language Resources Association

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Y2 - 25 June 2022 through 25 June 2022

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