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Combating Online Hostile Posts in Regional Languages during Emergency Situation

First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2021

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Overview

Editors:
  1. Tanmoy Chakraborty

    1. IIIT Delhi, New Delhi, India

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  2. Kai Shu

    1. Illinois Institute of Technology, Chicago, USA

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  3. H. Russell Bernard

    1. Arizona State University, Tempe, USA

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  4. Huan Liu

    1. Arizona State University, Tempe, USA

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  5. Md Shad Akhtar

    1. IIIT Delhi, New Delhi, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1402)

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About this book

This book constitutes selected and revised papers from the First International Workshop on Combating On​line Ho​st​ile Posts in ​Regional Languages dur​ing Emerge​ncy Si​tuation, CONSTRAINT 2021, Collocated with AAAI 2021, held as virtual event, in February 2021. 

The 14 full papers and 9 short papers presented were thoroughly reviewed and selected from 62 qualified submissions. The papers present  interdisciplinary approaches on multilingual social media analytics and non-conventional ways of combating online hostile posts.

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Table of contents (23 papers)

  1. Front Matter

    Pages i-xi
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  2. Identifying Offensive Content in Social Media Posts

    • Ashwin Singh, Rudraroop Ray
    Pages 1-8
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  3. Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation

    • Omar Sharif, Mohammed Moshiul Hoque
    Pages 9-20
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  4. Fighting an Infodemic: COVID-19 Fake News Dataset

    • Parth Patwa, Shivam Sharma, Srinivas Pykl, Vineeth Guptha, Gitanjali Kumari, Md Shad Akhtar et al.
    Pages 21-29
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  5. Revealing the Blackmarket Retweet Game: A Hybrid Approach

    • Shreyash Arya, Hridoy Sankar Dutta
    Pages 30-41
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  6. Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts

    • Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL et al.
    Pages 42-53
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  7. LaDiff ULMFiT: A Layer Differentiated Training Approach for ULMFiT

    • Mohammed Azhan, Mohammad Ahmad
    Pages 54-61
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  8. Extracting Latent Information from Datasets in CONSTRAINT 2021 Shared Task

    • Renyuan Liu, Xiaobing Zhou
    Pages 62-73
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  9. Fake News and Hostile Posts Detection Using an Ensemble Learning Model

    • Siyao Zhou, Jie Li, Haiyan Ding
    Pages 74-82
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  10. Transformer-Based Language Model Fine-Tuning Methods for COVID-19 Fake News Detection

    • Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng et al.
    Pages 83-92
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  11. Tackling the Infodemic: Analysis Using Transformer Based Models

    • Anand Zutshi, Aman Raj
    Pages 93-105
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  12. Exploring Text-Transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

    • Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li
    Pages 106-115
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  13. g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection

    • Anna Glazkova, Maksim Glazkov, Timofey Trifonov
    Pages 116-127
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  14. Model Generalization on COVID-19 Fake News Detection

    • Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya, Ziwei Ji, Pascale Fung
    Pages 128-140
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  15. ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information

    • Ipek Baris, Zeyd Boukhers
    Pages 141-152
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  16. Evaluating Deep Learning Approaches for Covid19 Fake News Detection

    • Apurva Wani, Isha Joshi, Snehal Khandve, Vedangi Wagh, Raviraj Joshi
    Pages 153-163
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  17. A Heuristic-Driven Ensemble Framework for COVID-19 Fake News Detection

    • Sourya Dipta Das, Ayan Basak, Saikat Dutta
    Pages 164-176
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  18. Identification of COVID-19 Related Fake News via Neural Stacking

    • Boshko Koloski, Timen Stepišnik-Perdih, Senja Pollak, Blaž Škrlj
    Pages 177-188
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  19. Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task

    • Akansha Gautam, V. Venktesh, Sarah Masud
    Pages 189-200
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  20. Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings

    • Arkadipta De, Venkatesh Elangovan, Kaushal Kumar Maurya, Maunendra Sankar Desarkar
    Pages 201-212
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Other volumes

  1. Combating Online Hostile Posts in Regional Languages during Emergency Situation

Editors and Affiliations

  • IIIT Delhi, New Delhi, India

    Tanmoy Chakraborty, Md Shad Akhtar

  • Illinois Institute of Technology, Chicago, USA

    Kai Shu

  • Arizona State University, Tempe, USA

    H. Russell Bernard, Huan Liu

Bibliographic Information

  • Book Title: Combating Online Hostile Posts in Regional Languages during Emergency Situation

  • Book Subtitle: First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers

  • Editors: Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md Shad Akhtar

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-030-73696-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-73695-8Published: 09 April 2021

  • eBook ISBN: 978-3-030-73696-5Published: 08 April 2021

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XI, 258

  • Number of Illustrations: 19 b/w illustrations

  • Topics: Information Systems and Communication Service, Artificial Intelligence, Computer Applications

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