publications

social networks, deep learning, causal inference, probabilistic programs, recommender systems

For details see Google Scholar

2023

  1. AI’s Playdate with Youth Platforms: A Review of AI-Driven Content Moderation Techniques
    Aditya Surve, Archit Rathod, Mokshit Surana, Gautam Malpani, Aneesh Shamraj, Sainath Reddy Sankepally, Raghav Jain, and Swapneel Mehta
    Working Paper, 2023
  2. Towards Informed Interventions to Limit the Effects of Misleading Information on Social Networks
    Swapneel Mehta
    New York University, 2023
  3. Multiagent Simulators for Social Networks
    Aditya Surve, Archit Rathod, Mokshit Surana, Gautam Malpani, Aneesh Shamraj, Sainath Reddy Sankepally, Raghav Jain, and Swapneel S Mehta
    In Multi-Agent Security Workshop@ NeurIPS’23, 2023
  4. Defining and Achieving Success in Elections Integrity
    Glenn Ellingson, Katie Harbath, Jeff Allen, Eric Davis, Alex Leavitt, Swapneel Mehta, Edgard Oliviera, and  others
    Report (Integrity Institute), 2023
  5. Shining a Light on Platform Transparency Best Practices
    Hilary Ross, Brandon Silverman, Jeff Allen, Swapneel Mehta, Theodora Skeadas, Hallie Stern, and  others
    Report (Integrity Institute), 2023
  6. Platform Outages Increase the Sharing of High-quality News on Reddit
    Swapneel Mehta, Kevin Aslett, Richard Bonneau, Joshua Tucker, and Jonathan Nagler
    Working Paper, 2023
  7. Identifying the Causal Effects of Twitter’s Interventions on Trump’s Tweets
    Swapneel Mehta, James Bisbee, Zeve Sanderson, Richard Bonneau, Joshua Tucker, and Jonathan Nagler
    Working Paper, 2023

2022

  1. Compartmental Models for COVID-19 and Control via Policy Interventions
    Swapneel Mehta, and Noah Kasmanoff
    arXiv preprint arXiv:2203.02860, 2022
  2. Estimating the Impact of Coordinated Inauthentic Behavior on Content Recommendations in Social Networks
    Swapneel S Mehta, Atilim Gunes Baydin, Richard Bonneau, Jonathan Nagler, and Philip Torr
    In ICML 2022 Workshop AI for Agent-Based Modelling, 2022
  3. Expanding Access to ML Research through Student-led Collaboratives
    Deep Gandhi, Raghav Jain, Jay Gala, Jhagrut Lalwani, and Swapneel S Mehta
    In NeurIPS 2022 Workshop on Broadening Research Collaborations, 2022

2021

  1. Open-domain Trending Hashtag Recommendation for Videos
    Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Vishwanathan Swaminathan, Ryan Rossi, Ali Aminian, Han Guo, and Kshitiz Garg
    In IEEE International Symposium on Multimedia (ISM), 2021
  2. Application of OLS Regression and VAR Models to Analyse the Economies of Varying Political Regimes
    Amrita Ganeriwalla, and Swapneel Mehta
    Journal of Student Research, 2021
  3. Covid-19 Modeling and Control via Policy Interventions
    Swapneel Mehta, and Noah Kasmanoff
    In International Conference on Probabilistic Programming (PROBPROG), 2021

2020

  1. iml-wg/HEP-ML-Resources: 2019
    Matthew Feickert, M Paganini, S Mehta, K Cranmer, JF Low, DH Guest, BPJ Stienen, S Templ, R Di Sipio, M Stoye, and  others
    2020
  2. Deepjetcore
    J Kieseler, M Stoye, M Verzetti, P Silva, SS Mehta, A Stakia, Y Iiyama, E Bols, SR Qasim, H Kirschenmann, and  others
    Zenodo, doi, 2020

2019

    2018

    1. A Big Data Architecture for Log Data Storage and Analysis
      Swapneel Mehta, Prasanth Kothuri, and Daniel Lanza Garcia
      In Integrated Intelligent Computing, Communication and Security, 2018
    2. Auto-Grading for 3D Modeling Assignments in MOOCs
      Swapneel Mehta, Chirag Raman, Nitin Ayer, and Sameer Sahasrabudhe
      In 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT), 2018
    3. Anomaly Detection for Network Connection Logs
      Swapneel Mehta, Prasanth Kothuri, and Daniel Lanza Garcia
      arXiv preprint arXiv:1812.01941, 2018
    4. DeepJet: A Machine Learning Environment for High-energy Physics
      Swapneel Mehta, Mauro Verzetti, Jan Kieseler, and Markus Stoye
      2018
    5. Auto-grading for 3D Modeling Assignments in MOOCs
      Chirag Raman
      2018

    2017