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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

News

  • April 14, 2021
    Tutorial accepted in ECML-PKDD 2021: Sarah Masud, Pinkesh Badjatiya, Amitava Das, Manish Gupta, Vasudeva Varma, Tanmoy Chakraborty. Combating Online Hate Speech: Roles of Content, Networks, Psychology, User Behavior and Others .
  • April 09, 2021
    Paper accepted in Applied Soft Computing: William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty. Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection .
  • March 16, 2021
    Call for paper: Neurocomputing (Elsevier, Impact Factor: 4.438) Special Issue on Learning to Combat Online Hostile Posts in Regional Languages during Emergency Situations (Link)
  • March 16, 2021
    Paper accepted in ICWSM 2021: William Scott Paka, Ayan Sengupta, Gaurav Rajan, Suman Roy, Tanmoy Chakraborty. An Embedding-based Joint Sentiment-Topic Model for Short Texts .
  • March 16, 2021
    Paper accepted in ICWSM 2021: Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty. Exercise? I thought you said 'Extra Fries’: Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis .
  • March 16, 2021
    Paper accepted in ICWSM 2021: Hridoy Dutta, Udit Arora, Tanmoy Chakraborty. ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities .
  • February 21, 2021
    Paper accepted in IEEE Transactions on Computational Social Systems (IEEE TCSS): Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty. Hide and Seek: Outwitting Community Detection Algorithms .
  • February 09, 2021
    Paper accepted at PAKDD-21: Viresh Gupta, Tanmoy Chakraborty. VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning .

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