activity
20232026
most citedR2D2: Reducing Redundancy and Duplication in Data Lakes

8 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SI2026

Real-World Challenges in Fake News Detection: Dealing with Posts by Cold Users

Sai Keerthana Karnam, Abhirup Kundu, Jashn Arora +2

Social media serves as a primary source of information in the current digital era. Many people consume a vast range of information in a very short span, yet, amidst the stream of g…

cs.HC2026

The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT

Abhisek Dash, Soumi Das, Elisabeth Kirsten +6

To enable personalized and context-aware interactions, conversational AI systems have introduced a new mechanism: Memory. Memory creates what we refer to as the Algorithmic Self-po…

cs.HC2026

Bowling with ChatGPT: On the Evolving User Interactions with Conversational AI Systems

Sai Keerthana Karnam, Abhisek Dash, Krishna P. Gummadi +3

Recent studies have discussed how users are increasingly using conversational AI systems, powered by LLMs, for information seeking, decision support, and even emotional support. Ho…

cs.IR2025

Social Biases in Knowledge Representations of Wikidata separates Global North from Global South

Paramita Das, Sai Keerthana Karnam, Aditya Soni +1

Knowledge Graphs have become increasingly popular due to their wide usage in various downstream applications, including information retrieval, chatbot development, language model c…

cs.CY2025

Setting the Course, but Forgetting to Steer: Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and YouTube

Sai Keerthana Karnam, Abhisek Dash, Antariksh Das +6

The GDPR's Right of Access aims to empower users with control over their personal data via Data Download Packages (DDPs). However, their effectiveness is often compromised by incon…

cs.DB2023★ 8 cited

R2D2: Reducing Redundancy and Duplication in Data Lakes

Raunak Shah, Koyel Mukherjee, Atharv Tyagi +4

Enterprise data lakes often suffer from substantial amounts of duplicate and redundant data, with data volumes ranging from terabytes to petabytes. This leads to both increased sto…

cs.LG2023

Diversity matters: Robustness of bias measurements in Wikidata

Paramita Das, Sai Keerthana Karnam, Anirban Panda +3

With the widespread use of knowledge graphs (KG) in various automated AI systems and applications, it is very important to ensure that information retrieval algorithms leveraging t…