Research
Published paper: Cleaning house or quiet quitting? Large-scale analysis of account deletion behaviour on Tumblr
Have you ever deleted a social media account? Why did you do that? In a new paper, Cleaning house or quiet quitting? Large-scale analysis of account deletion behaviour on Tumblr, we analyzed 4.5 million users to find out why only certain people
Published paper: Cleaning house or quiet quitting? Large-scale analysis of account deletion behaviour on Tumblr
Have you ever deleted a social media account? Why did you do that? In a new paper, Cleaning house or quiet quitting? Large-scale analysis of account deletion behaviour on Tumblr, we analyzed 4.5 million users to find out why only certain people
New accepted paper: Cleaning House or Quiet Quitting? Large-Scale Analysis of Account Deletion Behavior on Tumblr
We are happy to announce a new article accepted for publication at Behaviour and Information Technology: Cleaning House or Quiet Quitting? Large-Scale Analysis of Account Deletion Behavior on Tumblr. The paper was based on Ruth Sarig’s Master thesis and in collaboration with Ran
New accepted paper: Cleaning House or Quiet Quitting? Large-Scale Analysis of Account Deletion Behavior on Tumblr
We are happy to announce a new article accepted for publication at Behaviour and Information Technology: Cleaning House or Quiet Quitting? Large-Scale Analysis of Account Deletion Behavior on Tumblr. The paper was based on Ruth Sarig’s Master thesis and in collaboration with Ran
New preprint — Improving Users’ Passwords with DPAR
We are happy to share a new pre-print, titled “Improving Users’ Passwords with DPAR: a Data-driven Password Recommendation System” now available on Arxiv. The paper is based on the thesis work by Assaf Morag, and was done in collaboration with
New preprint — Improving Users’ Passwords with DPAR
We are happy to share a new pre-print, titled “Improving Users’ Passwords with DPAR: a Data-driven Password Recommendation System” now available on Arxiv. The paper is based on the thesis work by Assaf Morag, and was done in collaboration with
ICSE paper from the SMU-TAU Collaboration on Android App Debloating
Android apps are getting bigger and bigger, packed with more features than most users need or want. All that extra code increases app sizes, slows performance, and expands the attack surface for malware. MiniMon is a framework that can debloat
ICSE paper from the SMU-TAU Collaboration on Android App Debloating
Android apps are getting bigger and bigger, packed with more features than most users need or want. All that extra code increases app sizes, slows performance, and expands the attack surface for malware. MiniMon is a framework that can debloat
Strategies of Product Managers at CHI2024
What product managers actually do and why they important for understanding the user experience? We will present our paper, “Strategies of Product Managers: Negotiating Social Values in Digital Product Design” at CHI’2024. The paper is published and can be accessed
Strategies of Product Managers at CHI2024
What product managers actually do and why they important for understanding the user experience? We will present our paper, “Strategies of Product Managers: Negotiating Social Values in Digital Product Design” at CHI’2024. The paper is published and can be accessed
New paper accepted to CHI on the Strategies of Product Managers
I’m happy to announce a Eilat Lev Ari’s paper was (conditionally) accepted to the ACM CHI conference on Human Factors in Computing Systems. The paper, written with Maayan Roichman and Eran Toch, is titled “Strategies of Product Managers: Negotiating Social Values
New paper accepted to CHI on the Strategies of Product Managers
I’m happy to announce a Eilat Lev Ari’s paper was (conditionally) accepted to the ACM CHI conference on Human Factors in Computing Systems. The paper, written with Maayan Roichman and Eran Toch, is titled “Strategies of Product Managers: Negotiating Social Values
Presentation at AFT
How can we share data on blockchain networks with enough plausible deniability to give us confidence that we wouldn’t be recognized by the data we share but by giving confidence that the statistics based on the data are not baseless?
Presentation at AFT
How can we share data on blockchain networks with enough plausible deniability to give us confidence that we wouldn’t be recognized by the data we share but by giving confidence that the statistics based on the data are not baseless?