Anubrata Das

Orcid: 0000-0002-5412-6149

Affiliations:
  • University of Texas at Austin, TX, USA


According to our database1, Anubrata Das authored at least 18 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
The state of human-centered NLP technology for fact-checking.
Inf. Process. Manag., 2023

Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI.
CoRR, 2023

True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

2022
Fairness in Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

Fairness in Information Access Systems.
Found. Trends Inf. Retr., 2022

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
CoRR, 2022

The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims.
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

ProtoTEx: Explaining Model Decisions with Prototype Tensors.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
The Case for Claim Difficulty Assessment in Automatic Fact Checking.
CoRR, 2021

Fairness and Discrimination in Information Access Systems.
CoRR, 2021

Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

2020
Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content.
Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

2019
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.
SIGIR Forum, 2019

A Conceptual Framework for Evaluating Fairness in Search.
CoRR, 2019

CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking.
CoRR, 2019

Dataset bias: A case study for visual question answering.
Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019

2016
Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

2014
Predicting Trends in the Twitter Social Network: A Machine Learning Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014


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