UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu

Maaz Amjad; Sabur Butt; Hamza Imam Amjad; Alisa Zhila; Grigori Sidorov; Alexander Gelbukh

doi:10.1145/3503162.3505240

UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu

Maaz Amjad, Sabur Butt, Hamza Imam Amjad, Alisa Zhila, Grigori Sidorov, Alexander Gelbukh

Centro de Investigación en Computación (CIC)

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

Abstract

This study reports the second shared task named as UrduFake@Fire2021 on identifying fake news detection in Urdu language. This is a binary classification problem in which the task is to classify a given news article into two classes: (i) real news, or (ii) fake news. In this shared task, 34 teams from 7 different countries (China, Egypt, Israel, India, Mexico, Pakistan, and UAE)registered to participate in the shared task, 18 teams submitted their experimental results and 11 teams submitted their technical reports. The proposed systems were based on various count-based features and used different classifiers as well as neural network architectures. The stochastic gradient descent (SGD) algorithm outperformed other classifiers and achieved 0.679 F-score.

Original language	English
Title of host publication	FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation
Editors	Debasis Ganguly, Surupendu Gangopadhyay, Mandar Mitra, Prasenjit Majumder, Prasenjit Majumder
Publisher	Association for Computing Machinery
Pages	19-21
Number of pages	3
ISBN (Electronic)	9781450395960
DOIs	https://doi.org/10.1145/3503162.3505240
State	Published - 13 Dec 2021
Event	13th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2021 - Virtual, Online, India Duration: 13 Dec 2021 → 17 Dec 2021

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	13th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2021
Country/Territory	India
City	Virtual, Online
Period	13/12/21 → 17/12/21

Keywords

Fake news detection
Urdu language
low resource languages

Access to Document

10.1145/3503162.3505240

Cite this

Amjad, M., Butt, S., Amjad, H. I., Zhila, A., Sidorov, G., & Gelbukh, A. (2021). UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu. In D. Ganguly, S. Gangopadhyay, M. Mitra, P. Majumder, & P. Majumder (Eds.), FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation (pp. 19-21). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3503162.3505240

Amjad, Maaz ; Butt, Sabur ; Amjad, Hamza Imam et al. / UrduFake@FIRE2021 : Shared Track on Fake News Identification in Urdu. FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation. editor / Debasis Ganguly ; Surupendu Gangopadhyay ; Mandar Mitra ; Prasenjit Majumder ; Prasenjit Majumder. Association for Computing Machinery, 2021. pp. 19-21 (ACM International Conference Proceeding Series).

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title = "UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu",

abstract = "This study reports the second shared task named as UrduFake@Fire2021 on identifying fake news detection in Urdu language. This is a binary classification problem in which the task is to classify a given news article into two classes: (i) real news, or (ii) fake news. In this shared task, 34 teams from 7 different countries (China, Egypt, Israel, India, Mexico, Pakistan, and UAE)registered to participate in the shared task, 18 teams submitted their experimental results and 11 teams submitted their technical reports. The proposed systems were based on various count-based features and used different classifiers as well as neural network architectures. The stochastic gradient descent (SGD) algorithm outperformed other classifiers and achieved 0.679 F-score.",

keywords = "Fake news detection, Urdu language, low resource languages",

author = "Maaz Amjad and Sabur Butt and Amjad, {Hamza Imam} and Alisa Zhila and Grigori Sidorov and Alexander Gelbukh",

note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 13th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2021 ; Conference date: 13-12-2021 Through 17-12-2021",

year = "2021",

month = dec,

day = "13",

doi = "10.1145/3503162.3505240",

language = "Ingl{\'e}s",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "19--21",

editor = "Debasis Ganguly and Surupendu Gangopadhyay and Mandar Mitra and Prasenjit Majumder and Prasenjit Majumder",

booktitle = "FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation",

}

Amjad, M, Butt, S, Amjad, HI, Zhila, A, Sidorov, G & Gelbukh, A 2021, UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu. in D Ganguly, S Gangopadhyay, M Mitra, P Majumder & P Majumder (eds), FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 19-21, 13th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2021, Virtual, Online, India, 13/12/21. https://doi.org/10.1145/3503162.3505240

UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu. / Amjad, Maaz; Butt, Sabur; Amjad, Hamza Imam et al.
FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation. ed. / Debasis Ganguly; Surupendu Gangopadhyay; Mandar Mitra; Prasenjit Majumder; Prasenjit Majumder. Association for Computing Machinery, 2021. p. 19-21 (ACM International Conference Proceeding Series).

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

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T1 - UrduFake@FIRE2021

T2 - 13th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2021

AU - Amjad, Maaz

AU - Butt, Sabur

AU - Amjad, Hamza Imam

AU - Zhila, Alisa

AU - Sidorov, Grigori

AU - Gelbukh, Alexander

PY - 2021/12/13

Y1 - 2021/12/13

N2 - This study reports the second shared task named as UrduFake@Fire2021 on identifying fake news detection in Urdu language. This is a binary classification problem in which the task is to classify a given news article into two classes: (i) real news, or (ii) fake news. In this shared task, 34 teams from 7 different countries (China, Egypt, Israel, India, Mexico, Pakistan, and UAE)registered to participate in the shared task, 18 teams submitted their experimental results and 11 teams submitted their technical reports. The proposed systems were based on various count-based features and used different classifiers as well as neural network architectures. The stochastic gradient descent (SGD) algorithm outperformed other classifiers and achieved 0.679 F-score.

AB - This study reports the second shared task named as UrduFake@Fire2021 on identifying fake news detection in Urdu language. This is a binary classification problem in which the task is to classify a given news article into two classes: (i) real news, or (ii) fake news. In this shared task, 34 teams from 7 different countries (China, Egypt, Israel, India, Mexico, Pakistan, and UAE)registered to participate in the shared task, 18 teams submitted their experimental results and 11 teams submitted their technical reports. The proposed systems were based on various count-based features and used different classifiers as well as neural network architectures. The stochastic gradient descent (SGD) algorithm outperformed other classifiers and achieved 0.679 F-score.

KW - Fake news detection

KW - Urdu language

KW - low resource languages

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DO - 10.1145/3503162.3505240

M3 - Contribución a la conferencia

AN - SCOPUS:85124364536

T3 - ACM International Conference Proceeding Series

SP - 19

EP - 21

BT - FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation

A2 - Ganguly, Debasis

A2 - Gangopadhyay, Surupendu

A2 - Mitra, Mandar

A2 - Majumder, Prasenjit

PB - Association for Computing Machinery

Y2 - 13 December 2021 through 17 December 2021

ER -

Amjad M, Butt S, Amjad HI, Zhila A, Sidorov G , Gelbukh A. UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu. In Ganguly D, Gangopadhyay S, Mitra M, Majumder P, Majumder P, editors, FIRE 2021 - Proceedings of the 13th Annual Meeting of the Forum for Information Retrieval Evaluation. Association for Computing Machinery. 2021. p. 19-21. (ACM International Conference Proceeding Series). doi: 10.1145/3503162.3505240

UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu

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