The Elsagate corpus: Characterising commentary on alarming video content

Panagiotis Soustas; Matthew  Edwards

The Elsagate corpus: Characterising commentary on alarming video content

Panagiotis Soustas, Matthew Edwards

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

Identifying disturbing online content being targeted at children is an important content moderation problem. However, previous approaches to this problem have focused on features of the content itself, and neglected potentially helpful insights from the reactions expressed by its online audience. To help remedy this, we present the Elsagate Corpus, a collection of over 22 million comments on more than 18,000 videos that have been associated with disturbing content. We describe the how we collected this corpus and present some insights from our initial explorations, including the suprisingly positive reactions from audiences to this content, challenges in identifying averse comments, and some unusual non-linguistic commenting behaviour of uncertain purpose.

Original language	English
Title of host publication	The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Proceedings
Editors	Ruslan Mitkov, Saad Ezzini, Cengiz Acarturk, Tharindu Ranasinghe, Paul Rayson, Mo El-Haj, Ignatius Ezeani, Matthew Bradbury, Nouran Khallaf
Pages	147-152
Number of pages	6
Publication status	Published - 30 Jul 2024
Event	First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security - Lancaster University, Lancaster, United Kingdom Duration: 29 Jul 2024 → 30 Jul 2024 https://nlpaics.com/

Conference

Conference	First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
Abbreviated title	NPLAICS'2024
Country/Territory	United Kingdom
City	Lancaster
Period	29/07/24 → 30/07/24
Internet address	https://nlpaics.com/

Research Groups and Themes

Cyber Security

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https://nlpaics.com/conference-proceedings/

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Soustas, P., & Edwards, M. (2024). The Elsagate corpus: Characterising commentary on alarming video content. In R. Mitkov, S. Ezzini, C. Acarturk, T. Ranasinghe, P. Rayson, M. El-Haj, I. Ezeani, M. Bradbury, & N. Khallaf (Eds.), The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Proceedings (pp. 147-152) https://nlpaics.com/conference-proceedings/

Soustas, Panagiotis ; Edwards, Matthew . / The Elsagate corpus : Characterising commentary on alarming video content. The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Proceedings. editor / Ruslan Mitkov ; Saad Ezzini ; Cengiz Acarturk ; Tharindu Ranasinghe ; Paul Rayson ; Mo El-Haj ; Ignatius Ezeani ; Matthew Bradbury ; Nouran Khallaf. 2024. pp. 147-152

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title = "The Elsagate corpus: Characterising commentary on alarming video content",

abstract = "Identifying disturbing online content being targeted at children is an important content moderation problem. However, previous approaches to this problem have focused on features of the content itself, and neglected potentially helpful insights from the reactions expressed by its online audience. To help remedy this, we present the Elsagate Corpus, a collection of over 22 million comments on more than 18,000 videos that have been associated with disturbing content. We describe the how we collected this corpus and present some insights from our initial explorations, including the suprisingly positive reactions from audiences to this content, challenges in identifying averse comments, and some unusual non-linguistic commenting behaviour of uncertain purpose.",

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booktitle = "The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS{\textquoteright}2024) Proceedings",

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Soustas, P & Edwards, M 2024, The Elsagate corpus: Characterising commentary on alarming video content. in R Mitkov, S Ezzini, C Acarturk, T Ranasinghe, P Rayson, M El-Haj, I Ezeani, M Bradbury & N Khallaf (eds), The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Proceedings. pp. 147-152, First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security, Lancaster, United Kingdom, 29/07/24. <https://nlpaics.com/conference-proceedings/>

The Elsagate corpus: Characterising commentary on alarming video content. / Soustas, Panagiotis ; Edwards, Matthew .
The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Proceedings. ed. / Ruslan Mitkov; Saad Ezzini; Cengiz Acarturk; Tharindu Ranasinghe; Paul Rayson; Mo El-Haj; Ignatius Ezeani; Matthew Bradbury; Nouran Khallaf. 2024. p. 147-152.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Edwards, Matthew

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N2 - Identifying disturbing online content being targeted at children is an important content moderation problem. However, previous approaches to this problem have focused on features of the content itself, and neglected potentially helpful insights from the reactions expressed by its online audience. To help remedy this, we present the Elsagate Corpus, a collection of over 22 million comments on more than 18,000 videos that have been associated with disturbing content. We describe the how we collected this corpus and present some insights from our initial explorations, including the suprisingly positive reactions from audiences to this content, challenges in identifying averse comments, and some unusual non-linguistic commenting behaviour of uncertain purpose.

AB - Identifying disturbing online content being targeted at children is an important content moderation problem. However, previous approaches to this problem have focused on features of the content itself, and neglected potentially helpful insights from the reactions expressed by its online audience. To help remedy this, we present the Elsagate Corpus, a collection of over 22 million comments on more than 18,000 videos that have been associated with disturbing content. We describe the how we collected this corpus and present some insights from our initial explorations, including the suprisingly positive reactions from audiences to this content, challenges in identifying averse comments, and some unusual non-linguistic commenting behaviour of uncertain purpose.

M3 - Conference Contribution (Conference Proceeding)

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EP - 152

BT - The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) Proceedings

A2 - Mitkov, Ruslan

A2 - Ezzini, Saad

A2 - Acarturk, Cengiz

A2 - Ranasinghe, Tharindu

A2 - Rayson, Paul

A2 - El-Haj, Mo

A2 - Ezeani, Ignatius

A2 - Bradbury, Matthew

A2 - Khallaf, Nouran

Y2 - 29 July 2024 through 30 July 2024

ER -

The Elsagate corpus: Characterising commentary on alarming video content

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