Mr Sagar Joglekar

Former student

Project Title: From communities to crowds: quantifying the subjective. Data, measurements and models

End date: 31/07/2020

Deep Learning, Affects in digital space, Complex Networks

Latest Research Outputs

Analysing Meso and Macro conversation structures in an online suicide support forum
Joglekar, S., Velupillai, S., Dutta, R. & Sastry, N., 20 Jul 2020, In: arXiv.org.
Research output: Contribution to journal › Article
FaceLift: a transparent deep learning framework to beautify urban scenes
Joglekar, S. P., Sastry, N. R., Quercia, D., Aiello, L. & Redi, M., 15 Jan 2020, In: Royal Society open science. 7, 1, 190987.
Research output: Contribution to journal › Article › peer-review
Stop tracking me Bro! Differential Tracking of User Demographics on Hyper-Partisan Websites
Agarwal, P., Joglekar, S. P., Sastry, N. R., Papadapoulos, P. & Kourtellis, N., 10 Jan 2020, (Accepted/In press) Proceedings of the The Web Conference (WWW 2020). International World Wide Web Conferences Steering Committee
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Challenges in the decentralised web: The Mastodon case
Raman, A., Joglekar, S., De Cristofaro, E., Sastry, N. & Tyson, G., 21 Oct 2019, IMC 2019 - Proceedings of the 2019 ACM Internet Measurement Conference. Association for Computing Machinery, p. 217-229 13 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review