Soham Poddar

• Soham Poddar, Rajdeep Mukherjee*, Subhendu Khatuya*, Niloy Ganguly, Saptarshi Ghosh.
  "How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era" 18th International AAAI Conference of Web and Social Media (ICWSM), Buffalo 2024. 
  [Link to Paper] [Dataset and Codes]

• Soham Poddar, Rajdeep Mukherjee, Azlaan Mustafa Samad, Niloy Ganguly, Saptarshi Ghosh.
  "MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts" ACM Transactions on the Web (TWEB), 2024.
  [Link to Paper] [Codes]

• Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh.
  "CAVES: A dataset to facilitate explainable classification and summarization of concerns towards COVID vaccines".  45th International ACM SIGIR Conference (Resource Track), Madrid 2022.
  [Link to Paper] [Dataset and Codes]

• Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, and Saptarshi Ghosh.
  "Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users" 16th International Conference on Web and Social Media (AAAI ICWSM), Atlanta, 2022.
  [Link to Paper] [Dataset and Codes]
  
  

• Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal and Saptarshi Ghosh.
  "Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation" The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL- IJCNLP), Virtual Event 2022.  
  [Link to Paper] [Dataset and Codes]

• [Best paper award] Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, and Saptarshi Ghosh.
  "Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents" Eighteenth International Conference on Artificial Intelligence and Law (ICAIL), Sao Paulo, June 2021.
  [Link to paper] [Codes]
  
  

• Rahul Pullanikkat, Soham Poddar, Anik Das, Tushar Jaiswal, Vivek Kumar Singh, Moumita Basu, and Saptarshi Ghosh.
  "Utilizing the Twitter social media to identify transportation-related grievances in Indian cities". Social Network Analysis and Mining (SNAM), 2024.
  [Link to Paper][Dataset]

• [Book Chapter] Soham Poddar, Mainack Mondal, Saptarshi Ghosh, Arnab Jana.
  "A Survey on Disaster: Understanding the After-Effects of Super-Cyclone Amphan, the Helping Hand of Social Media". Advances in Urban Design and Engineering, Springer, pp. 157--197, 2022.
  [Online version] [Preprint]

• Ashish Kumar Layek, Soham Poddar, and Sekhar Mandal.
  "Detection of Flood Images Posted on Online Social Media for Disaster Response." 2019 Second International Conference on Advanced Computational and Communication Paradigms (IEEE ICACCP), Sikkim, February 2019.
  [Link to paper]
  
  

• [Non-refereed] Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh.
  "Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe)".  Proceedings of FIRE 2023 - Annual Meeting of the Forum for Information Retrieval Evaluation, Goa, December 2023.
  [Link to paper] 

• [Non-refereed] Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh.
  "Overview of the FIRE 2022 track: Information Retrieval from Microblogs during Disasters (IRMiDis)". Proceedings of FIRE 2022 - Annual Meeting of the Forum for Information Retrieval Evaluation,  Kolkata, December 2022.
  [Link to Paper]

• [Non-refereed] Moumita Basu, Soham Poddar, Kripabandhu Ghosh, Saptarshi Ghosh.
  "Overview of the FIRE 2021 track: Information Retrieval from Microblogs during Disasters (IRMiDis)" Proceedings of FIRE 2021 - Annual Meeting of the Forum for Information Retrieval Evaluation, Virtual Event, December 2021.
  [Link to Paper]

*Equal Contribution

I'm currently working on the following broad projects:

• • Optimizing LLMs to improve sustainability

  • Detection and verification of claims on Social Media

Broad Projects that I've worked on previously:

• • Analysis of  social media posts for mitigating disasters and epidemics

  • Summarizing legal case documents: Incorporating domain knowledge in general summarization algorithms

  • Detection of Flood Images Posted on Online Social Media

(Details of projects are given in my CV -- check above)

I have officially been a reviewer at the following conferences and journals:

• ARTI Journal (2024)

• ICWSM 2022 (January cycle)

• ICWSM 2024 (September and January cycle cycle)

• OSNEM Journal 

I have organized the following shared tasks/competitions:

• CSI at ICPR 2024

• AISoMe at FIRE 2023

• IRMiDis at FIRE 2022

• IRMiDis at FIRE 2021

I have been a Teaching Assistant for the following courses at IIT Kharagpur:

• • Natural Language Processing, Spring 2024 (CS60075)

  • Social Computing, Autumn 2020 (CS60017)

  • Operating Systems Theory and Lab, Spring 2023 (CS30002/CS39002 )

  • Operating Systems Theory and Lab, Spring 2022 (CS30002/CS39002 )

  • Programming and Data Structures Lab, Autumn 2021 (CS19003)

  • Programming and Data Structures Lab, Autumn 2020 (CS19003)

  • Social Computing, Autumn 2020 (CS60017)

  • Machine Learning, Spring 2020 (CS60050)

  • Social Computing, Autumn 2019.

I have been a PMRF Teaching Assistant for the following courses:

• Joy of Computing using Python; on NPTEL (online), 2022 Autumn (CS122)

• Programming in C; at Hijli College, Kharagpur, 2022 Autumn

• Introduction to Java; at Hijli College, Kharagpur, 2023 Spring

Other activities:

• I manage the webpage for Complex Networks Research Group (CNeRG): [link]