Babaei, Mahmoudreza

Postdoctoral Fellow

Main Focus

My research focuses on human and AI cooperation in dynamic networks. I also have been working on information consumption in social media particularly along three dimensions of efficiency, trust, and divisiveness.
My research interests lie at the intersection of reinforcement learning, data mining, and social computing.

Curriculum Vitae

Since January 2021, I have joined the center for Human and machines at Max Planck Institute for Human Development as a postdoctoral researcher working with Prof. Iyad Rahwan. 

January-December 2020, I was a visiting researcher in UCLA in LA, U.S. working with Prof. Jungsecok Joo.

I pursued my Ph.D. at Max Planck Institute for Software Systems (MPI-SWS) in the Social Computing Research group with Dr. Krishna P. Gummadi as my advisor.

I got my master degree in Artificial Intelligent at Sharif University of Technology, Tehran, Iran.


Publication:

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
  • Moein Khajehnejad, Mahmoudreza Babei , Jessica Hoffman, Mahdi Jalili, Adrian Weller
    at International Joint Conferences on Artificial Intelligence 2020(IJCAI)
    [pdf]

  • On the Fairness of Time-Critical Influence Maximization in Social Networks.
    Junaid Ali, Mahmoudreza Babei , Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi and Adish Singla
    In Human-Centric Machine Learning Workshop at NeurIPS'19(HCML)2019
    [pdf]

  • Analysing Biases in Perception of Truth in News Stories and their Implications for Fact Checking
    Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha and Krishna P. Gummadi
    Accepted in the ACM Conference on Fairness, Accountability, and Transparency (FAT*), Atlanta, Georgia, US, January 2019.

    This work was also presented at the European Symposium on Societal Challenges in Computational Social Science (EuroCSS), Cologne, Germany, December 2018 and at the Workshop on Fairness in User Modeling, Adaptation and Personalization (FairUMAP), Singapore, July 2018.

  • On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook
    Filipe N. Ribeiro*, Koustuv Saha*, Mahmoudreza Babaei, Fabricio Benevenuto, K Gummadi, Elissa M. Redmiles
    Accepted in the ACM Conference on Fairness, Accountability, and Transparency (FAT*), Atlanta, Georgia, US, January 2019.
    [pdf]

  • Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale.
    Filipe N. Ribeiro, Lucas Henrique, Fabricio Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babei and Krishna P. Gummadi
    In Proc. AAAI Intl. Conference on Web and Social Media (ICWSM), Stanford, USA, June 2018
    [pdf] | [Media-Bias-Monitor-app]

    This work was also presented at the European Symposium on Societal Challenges in Computational Social Science (EUroCSS), Cologne, Germany, December 2018.

  • Purple Feed: Identifying High Consensus News Posts on Social Media
    Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabricio Benevenuto, Krishna P. Gummadi and Adrian Weller
    In Proc. AAAI/ACM Conference on Artifical Intelligence, Ethics & Society (AIES), New Orleans, USA, February 2018
    [pdf] | [Twitter-app] | [slides]

  • The Road to Popularity: The Dilution of Growing Audience on Twitter
    Przemyslaw A. Grabowicz, Mahmoudreza Babaei, Juhi Kulshrestha, Ingmar Weber
    In Proc. Intl. AAAI Conference on Web and Social Media (ICWSM), Cologne, Germany, May 2016
    (Short paper)
    [pdf]

  • On the Efficiency of Information Networks in Social Media.
    Mahmoudreza Babaei, Przemyslaw Grabowicz, Isabel Valera, Krishna P. Gummadi and Manuel Gomez-Rodriguez
    In Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM), San Francisco, CA, February 2016.
    [pdf]



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