Skip to main content
Springer Nature Link
Account

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

Overview

Editors:
  1. Tanmoy Chakraborty

    1. IIIT Delhi, New Delhi, India

  2. Kai Shu

    1. Illinois Institute of Technology, Chicago, USA

  3. H. Russell Bernard

    1. Arizona State University, Tempe, USA

  4. Huan Liu

    1. Arizona State University, Tempe, USA

  5. Md Shad Akhtar

    1. IIIT Delhi, New Delhi, India

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.

Similar content being viewed by others

Keywords

Table of contents (23 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Identifying Offensive Content in Social Media Posts

    • Ashwin Singh, Rudraroop Ray
    Pages 1-8

  3. Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation

    • Omar Sharif, Mohammed Moshiul Hoque
    Pages 9-20

  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

  5. Revealing the Blackmarket Retweet Game: A Hybrid Approach

    • Shreyash Arya, Hridoy Sankar Dutta
    Pages 30-41

  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

  7. LaDiff ULMFiT: A Layer Differentiated Training Approach for ULMFiT

    • Mohammed Azhan, Mohammad Ahmad
    Pages 54-61

  8. Extracting Latent Information from Datasets in CONSTRAINT 2021 Shared Task

    • Renyuan Liu, Xiaobing Zhou
    Pages 62-73

  9. Fake News and Hostile Posts Detection Using an Ensemble Learning Model

    • Siyao Zhou, Jie Li, Haiyan Ding
    Pages 74-82

  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

  11. Tackling the Infodemic: Analysis Using Transformer Based Models

    • Anand Zutshi, Aman Raj
    Pages 93-105

  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

  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

  14. Model Generalization on COVID-19 Fake News Detection

    • Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya, Ziwei Ji, Pascale Fung
    Pages 128-140

  15. ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information

    • Ipek Baris, Zeyd Boukhers
    Pages 141-152

  16. Evaluating Deep Learning Approaches for Covid19 Fake News Detection

    • Apurva Wani, Isha Joshi, Snehal Khandve, Vedangi Wagh, Raviraj Joshi
    Pages 153-163

  17. A Heuristic-Driven Ensemble Framework for COVID-19 Fake News Detection

    • Sourya Dipta Das, Ayan Basak, Saikat Dutta
    Pages 164-176

  18. Identification of COVID-19 Related Fake News via Neural Stacking

    • Boshko Koloski, Timen Stepišnik-Perdih, Senja Pollak, Blaž Škrlj
    Pages 177-188

  19. Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task

    • Akansha Gautam, V. Venktesh, Sarah Masud
    Pages 189-200

  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
Back to top

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

Accessibility Information

Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.

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

Publish with us

Policies and ethics

Back to top