activity
20142023
most citedCharacterising Third Party Cookie Usage in the EU after GDPR

40 citations · 350 across the 32 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.SI2020

Analysing Meso and Macro conversation structures in an online suicide support forum

Sagar Joglekar, Sumithra Velupillai, Rina Dutta +1

Platforms like Reddit and Twitter offer internet users an opportunity to talk about diverse issues, including those pertaining to physical and mental health. Some of these forums a…

cs.NI2020★ 8 cited

From ATM to MPLS and QCI: The Evolution of Differentiated QoS Standards and Implications for 5G Network Slicing

Emeka Obiodu, Nishanth Sastry

The networking community continues to create new technologies and update existing ones to improve the quality, reliability, and "tailorability" of data networks. However, whenever…

cs.SI2020★ 4 cited

Wikipedia and Westminster: Quality and Dynamics of Wikipedia Pages about UK Politicians

Pushkal Agarwal, Miriam Redi, Nishanth Sastry +2

Wikipedia is a major source of information providing a large variety of content online, trusted by readers from around the world. Readers go to Wikipedia to get reliable informatio…

cs.SI2020

Characterising User Content on a Multi-lingual Social Network

Pushkal Agarwal, Kiran Garimella, Sagar Joglekar +2

Social media has been on the vanguard of political information diffusion in the 21st century. Most studies that look into disinformation, political influence and fake-news focus on…

cs.CY2020

Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites

Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos +2

Websites with hyper-partisan, left or right-leaning focus offer content that is typically biased towards the expectations of their target audience. Such content often polarizes use…

cs.CY2020★ 40 cited

FaceLift: A transparent deep learning framework to beautify urban scenes

Sagar Joglekar, Daniele Quercia, Miriam Redi +3

In the area of computer vision, deep learning techniques have recently been used to predict whether urban scenes are likely to be considered beautiful: it turns out that these tech…