First Workshop on ​Combating On​line Ho​st​ile Posts in ​Regional L​anguages dur​ing Emerge​ncy Si​tuation

Collocated with AAAI 2021



The increasing accessibility of the Internet has dramatically changed the way we consume information. The ease of social media usage not only encourages individuals to freely express their opinion (freedom of speech) but also provides content polluters with ecosystems to spread hostile posts (hate speech, fake news, cyberbullying, etc.). Such hostile activities are expected to increase manifold during emergencies such as the 2021 US presidential election, COVID-19 pandemic spreading. Most of such hostile posts are written in regional languages, and therefore can easily evade online surveillance engines, the majority of which are trained on the posts written in resource-rich languages such as English and Chinese. Therefore, regions such as Asia, Africa, South America, where low-resource ​regional languages are used for day-to-day communication, suffer due to the lack of tools, benchmark datasets and learning techniques. Other developing countries such as Italy, Spain, where the used languages (pseudo-low-resource) are not as equipped with sophisticated computational resources as English, might also be facing the same issues.
CONSTRAINT’21 will encourage researchers from interdisciplinary domains working on multilingual social media analytics to think beyond the conventional way of combating online hostile posts. The workshop will emphasise on three major points:

  1. Regional language: The offensive posts under inspection may be written in low-resource regional languages (e.g., Tamil, Urdu, Bangali, Polish, Czech, Lithuanian, etc.).
  2. Emergency situation: ​The proposed solutions should be able to tackle misinformation during emergency situations where due to the lack of enough historical data, learning models need to adopt additional intelligence to handle emerging and novel posts.
  3. Early detection: ​Since the effect of misinformation during emergency situations is highly detrimental for society (e.g., health-related misadvice during a pandemic may take human’s life), we encourage the solutions to be able to detect such hostile posts as early as possible after their appearance on social media.



  • Topics of Interests: We invite the submission of high-quality manuscripts reporting relevant research in the area of collecting, managing, mining, and understanding hostile data from social media platforms. Topics of interest include, but are not limited to:
    • Fake news detection in regional languages
    • Hate speech detection in regional languages
    • Evolution of fake news and hate speech
    • Analyzing user behavior for hostile post propagation
    • Real-world tool development for combating hostile posts
    • Psychological study of the spreaders of hostile posts
    • Hate speech normalization
    • Information extraction, ontology design and knowledge graph for combating hostile posts
    • Early detection for hostile posts
    • Design lightweight tools with less data for hostile post detection
    • Code-mixed and code-switched hostile post analysis
    • Open benchmark and dashboard related to regional hostile posts
    • Specific case studies and surveys related to hostile posts
    • Claim detection and verification related to misinformation
    • Fact-check worthiness of misinformation
    • Cross-region language analysis for hostile posts
    • Computational social science analysis for hostile posts
    • Network analysis for fake news spreading and evolution

  • Submission Instructions:
    • Regular papers (maximum 12 pages) should be prepared in English and follow the Springer CCIS template, downloadable from here. All papers must be submitted via our EasyChair submission page and will go through a double-blind peer-review process. Only manuscripts in PDF or Microsoft Word format will be accepted.
    • In the 2nd phase of the submission, if your paper has been rejected from AAAI 2021 regular track with significant ratings, you can append your submission with the peer reviews and ratings. These papers will be reviewed separately.

  • Important Dates:
    • Oct 20, 2020 Oct 27, 2020: Phase 1 full papers due at 11:59 PM UTC-12
    • Nov 20, 2020: Notification of phase 1 papers due at 11:59 PM UTC-12
    • Dec 1, 2020: Camera ready submission due of accepted papers at 11:50 PM UTC-12
    • Dec 5, 2020: Phase 2 full papers due at 11:59 PM UTC-12 (AAAI 2021 rejected papers with high ratings will be considered separately for reviews. For this, the authors need to submit the full reviews and ratings obtained from AAAI.)
    • Dec 20, 2020: Notification of phase 2 papers due at 11:59 PM UTC-12
    • Dec 30, 2020: Camera ready submission due of phase 2 accepted papers at 11:50 PM UTC-12
    • Feb 2, 2021: CONSTRAINT workshop


  • Task: We are planning to release two types of datasets:
    • COVID19 Fake news detection (English)
    • Hostility detection (Hindi)
    For more details and updates please visit

  • Important Dates:
    • October 1, 2020: Release of the training set
    • December 1, 2020: Release of the test set
    • December 10, 2020: Deadline for submitting the final results
    • December 12, 2020: Announcement of the results
    • December 30, 2020: System paper submission deadline (All teams are invited to submit a paper)


Selected workshop papers will be invited for an extension to be considered in a special issue of Neurocomputing journal (Impact factor: 4.438)



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