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Islamophobic Hate Speech Detection from Electronic Media Using Deep Learning

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Pattern Recognition and Artificial Intelligence (MedPRAI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1543))

Abstract

Islamophobic hate speech is the indiscriminate negative attitude and behavior towards Muslims and Islam. Speech indicating prejudice against Muslims has negatively impacted the perceptions of Islam. Online platforms like Twitter have carved out policies to stop users from promoting Islamophobic hate speech, however, such content still exists which causes problems for Muslim communities globally. Hence, it becomes pivotal to find solutions to eradicate such speech from social media platforms. This paper presents an effective methodology for Islamophobic hate speech identification in online tweets using deep learning techniques. The proposed technique relies on feature extraction using a one-dimensional Convolutional Neural Network and classification using Long Short-Term Memory network based classifier. The proposed technique is validated on a dataset comprising of 1290 pre-processed online tweets and an accuracy of more than 90% is reported.

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Authors and Affiliations

  1. Department of Computer Science, Bahria University, Islamabad, 44000, Pakistan

    Qasim Mehmood, Anum Kaleem & Imran Siddiqi

Authors
  1. Qasim Mehmood
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  2. Anum Kaleem
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  3. Imran Siddiqi
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Corresponding author

Correspondence to Qasim Mehmood .

Editor information

Editors and Affiliations

  1. Larbi Tebessi University, Tebessa, Algeria

    Chawki Djeddi

  2. Bahria University, Islamabad, Pakistan

    Imran Siddiqi

  3. FAST National University, Islamabad, Pakistan

    Akhtar Jamil

  4. Istanbul Sabahattin Zaim University, Istanbul, Turkey

    Alaa Ali Hameed

  5. Istanbul Sabahattin Zaim University, Istanbul, Turkey

    İsmail Kucuk

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Mehmood, Q., Kaleem, A., Siddiqi, I. (2022). Islamophobic Hate Speech Detection from Electronic Media Using Deep Learning. In: Djeddi, C., Siddiqi, I., Jamil, A., Ali Hameed, A., Kucuk, İ. (eds) Pattern Recognition and Artificial Intelligence. MedPRAI 2021. Communications in Computer and Information Science, vol 1543. Springer, Cham. https://doi.org/10.1007/978-3-031-04112-9_14

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  • DOI: https://doi.org/10.1007/978-3-031-04112-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04111-2

  • Online ISBN: 978-3-031-04112-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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