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Current Openings

Our lab has immediate open Research Associate and PhD positions in the areas of NLP and Social Network Analysis. For more details, refer here.

Laboratory for Computational Social Systems (LCS2) is a research group led by Dr. Tanmoy Chakraborty and Dr. Md. Shad Akhtar at Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). Broad research interests of this group include Data Mining, Complex Networks, Social Computing, Natural Language Processing and Data-driven Cybersecurity.

Data Science for Fake News


  • July 22, 2021
    Paper accepted in ACM Transactions on Intelligent Systems and Technology (TIST) Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty. Detecting and Analyzing Collusive Entities on YouTube .
  • July 10, 2021
    Paper accepted in 32nd ACM Hypertext, 2021 Hridoy Sankar Dutta, Kartik Aggarwal and Tanmoy Chakraborty. DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter. .
  • July 08, 2021
    Following LCS2 members have recieved ACL volunteer fellowship and free registration in ACL 2021-
    • Abdul Waheed
    • Atharva Kulkarni
    • Ganeshan Malhotra
    • Nirav Diwan
    • Shivam Sharma
    • Shraman Pramanick
  • June 12, 2021
    Nirav Diwan has been selected to present his work at the Eastern European Machine Learning Summer School (EEML 2021).
  • May 20, 2021
    Meet Maheshwari and Priya Mehta have qualified for the final round of Qualcomm Innovation Fellowship 2021.
  • May 20, 2021
    Hridoy Sankar Dutta has recieved ICWSM scholarship 2021.
  • May 19, 2021
    Paper accepted in IEEE Transactions on Affective Computing Shivani Kumar, Manjot Bedi, Md Shad Akhtar, Tanmoy Chakraborty . Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations .
  • May 18, 2021
    Paper accepted in KDD 2021 Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty. Would your tweet invoke hate on the fly? Forecasting hate intensity of reply threads on Twitter .

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