Findings of the WOAH 5 shared task on fine grained hateful memes detection

Lambert Mathias; Shaoliang Nie; Aida Davani; Douwe Kiela; Vinodkumar Prabhakaran; Bertie Vidgen; Zeerak Waseem

doi:10.18653/v1/2021.woah-1.21

Findings of the WOAH 5 shared task on fine grained hateful memes detection

Lambert Mathias, Shaoliang Nie, Aida Davani, Douwe Kiela, Vinodkumar Prabhakaran, Bertie Vidgen, Zeerak Waseem

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

We present the results and main findings of the shared task at WOAH 5 on hateful memes detection. The task include two subtasks relating to distinct challenges in the fine-grained detection of hateful memes: (1) the protected category attacked by the meme and (2) the attack type. 3 teams submitted system description papers. This shared task builds on the hateful memes detection task created by Facebook AI Research in 2020.

Original language	English
Title of host publication	Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)
Editors	Aida Mostafazadeh Davani, Douwe Kiela, Mathias Lambert, Bertie Vidgen, Vinodkumar Prabhakaran, Zeerak Waseem
Publisher	Association for Computational Linguistics
Pages	201-206
Number of pages	6
ISBN (Electronic)	9781954085596
DOIs	https://doi.org/10.18653/v1/2021.woah-1.21
Publication status	Published - 6 Aug 2021
Event	The 5th Workshop on Online Abuse and Harms - Virtual, Bangkok, Thailand Duration: 5 Aug 2021 → 6 Aug 2021 Conference number: 5 https://www.aclweb.org/portal/content/fifth-workshop-online-abuse-and-harms

Workshop

Workshop	The 5th Workshop on Online Abuse and Harms
Abbreviated title	WOAH 5
Country/Territory	Thailand
City	Bangkok
Period	5/08/21 → 6/08/21
Internet address	https://www.aclweb.org/portal/content/fifth-workshop-online-abuse-and-harms

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10.18653/v1/2021.woah-1.21Licence: Creative Commons: Attribution (CC-BY)

MathiasEtalWOAH2021FindingsOfTheWOAH5Final published version, 185 KBLicence: Creative Commons: Attribution (CC-BY)

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Mathias, L., Nie, S., Davani, A., Kiela, D., Prabhakaran, V., Vidgen, B., & Waseem, Z. (2021). Findings of the WOAH 5 shared task on fine grained hateful memes detection. In A. M. Davani, D. Kiela, M. Lambert, B. Vidgen, V. Prabhakaran, & Z. Waseem (Eds.), Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021) (pp. 201-206). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.woah-1.21

Mathias, Lambert ; Nie, Shaoliang ; Davani, Aida et al. / Findings of the WOAH 5 shared task on fine grained hateful memes detection. Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021). editor / Aida Mostafazadeh Davani ; Douwe Kiela ; Mathias Lambert ; Bertie Vidgen ; Vinodkumar Prabhakaran ; Zeerak Waseem. Association for Computational Linguistics, 2021. pp. 201-206

@inproceedings{91eaa57c59164b6087047721507eb5de,

title = "Findings of the WOAH 5 shared task on fine grained hateful memes detection",

abstract = "We present the results and main findings of the shared task at WOAH 5 on hateful memes detection. The task include two subtasks relating to distinct challenges in the fine-grained detection of hateful memes: (1) the protected category attacked by the meme and (2) the attack type. 3 teams submitted system description papers. This shared task builds on the hateful memes detection task created by Facebook AI Research in 2020.",

author = "Lambert Mathias and Shaoliang Nie and Aida Davani and Douwe Kiela and Vinodkumar Prabhakaran and Bertie Vidgen and Zeerak Waseem",

note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics.; The 5th Workshop on Online Abuse and Harms, WOAH 5 ; Conference date: 05-08-2021 Through 06-08-2021",

year = "2021",

month = aug,

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doi = "10.18653/v1/2021.woah-1.21",

language = "English",

pages = "201--206",

editor = "Davani, {Aida Mostafazadeh} and Douwe Kiela and Mathias Lambert and Bertie Vidgen and Vinodkumar Prabhakaran and Zeerak Waseem",

booktitle = "Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)",

publisher = "Association for Computational Linguistics",

url = "https://www.aclweb.org/portal/content/fifth-workshop-online-abuse-and-harms",

}

Mathias, L, Nie, S, Davani, A, Kiela, D, Prabhakaran, V, Vidgen, B & Waseem, Z 2021, Findings of the WOAH 5 shared task on fine grained hateful memes detection. in AM Davani, D Kiela, M Lambert, B Vidgen, V Prabhakaran & Z Waseem (eds), Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021). Association for Computational Linguistics, pp. 201-206, The 5th Workshop on Online Abuse and Harms, Bangkok, Thailand, 5/08/21. https://doi.org/10.18653/v1/2021.woah-1.21

Findings of the WOAH 5 shared task on fine grained hateful memes detection. / Mathias, Lambert; Nie, Shaoliang; Davani, Aida et al.
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021). ed. / Aida Mostafazadeh Davani; Douwe Kiela; Mathias Lambert; Bertie Vidgen; Vinodkumar Prabhakaran; Zeerak Waseem. Association for Computational Linguistics, 2021. p. 201-206.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Mathias, Lambert

AU - Nie, Shaoliang

AU - Davani, Aida

AU - Kiela, Douwe

AU - Prabhakaran, Vinodkumar

AU - Vidgen, Bertie

AU - Waseem, Zeerak

N1 - Conference code: 5

PY - 2021/8/6

Y1 - 2021/8/6

N2 - We present the results and main findings of the shared task at WOAH 5 on hateful memes detection. The task include two subtasks relating to distinct challenges in the fine-grained detection of hateful memes: (1) the protected category attacked by the meme and (2) the attack type. 3 teams submitted system description papers. This shared task builds on the hateful memes detection task created by Facebook AI Research in 2020.

AB - We present the results and main findings of the shared task at WOAH 5 on hateful memes detection. The task include two subtasks relating to distinct challenges in the fine-grained detection of hateful memes: (1) the protected category attacked by the meme and (2) the attack type. 3 teams submitted system description papers. This shared task builds on the hateful memes detection task created by Facebook AI Research in 2020.

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U2 - 10.18653/v1/2021.woah-1.21

DO - 10.18653/v1/2021.woah-1.21

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BT - Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)

A2 - Davani, Aida Mostafazadeh

A2 - Kiela, Douwe

A2 - Lambert, Mathias

A2 - Vidgen, Bertie

A2 - Prabhakaran, Vinodkumar

A2 - Waseem, Zeerak

PB - Association for Computational Linguistics

T2 - The 5th Workshop on Online Abuse and Harms

Y2 - 5 August 2021 through 6 August 2021

ER -

Mathias L, Nie S, Davani A, Kiela D, Prabhakaran V, Vidgen B et al. Findings of the WOAH 5 shared task on fine grained hateful memes detection. In Davani AM, Kiela D, Lambert M, Vidgen B, Prabhakaran V, Waseem Z, editors, Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021). Association for Computational Linguistics. 2021. p. 201-206 doi: 10.18653/v1/2021.woah-1.21

Findings of the WOAH 5 shared task on fine grained hateful memes detection

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Workshop

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