Suivre
Anubrata Das
Titre
Citée par
Citée par
Année
Fairness and Discrimination in Information Access Systems
MD Ekstrand, A Das, R Burke, F Diaz
(FnTIR) Foundations and Trends® in Information Retrieval, 2022 16 ((1-2)), 1-177, 2021
193*2021
The state of human-centered NLP technology for fact-checking
A Das, H Liu, V Kovatchev, M Lease
Information Processing & Management 60 (2), 103219, 2023
732023
FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval
A Roegiest, A Lipani, A Beutel, A Olteanu, A Lucic, A Stoica, A Das, ...
53*2019
Fairness in Recommender Systems
F Ekstrand, M.D., Das, A., Burke, R., Diaz
Recommender Systems Handbook, 679–707, 2022
38*2022
Fast, accurate, and healthier: Interactive blurring helps moderators reduce exposure to harmful content
A Das, B Dang, M Lease
AAAI HCOMP 2020 8, 33-42, 2020
342020
ProtoTEx: Explaining Model Decisions with Prototype Tensors
A Das*, C Gupta*, V Kovatchev, M Lease, JJ Li
ACL 2022, 2022
262022
Predicting trends in the twitter social network: a machine learning approach
A Das, M Roy, S Dutta, S Ghosh, AK Das
Swarm, Evolutionary, and Memetic Computing: 5th International Conference …, 2015
152015
Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype
A Das, N Mallik, S Bandyopadhyay, SD Bit, J Basak
(PerCom Workshops) 2016 IEEE International Conference on Pervasive Computing …, 2016
142016
Dataset bias: A case study for visual question answering
A Das, S Anjum, D Gurari
(ASIS&T 2019) Proceedings of the Association for Information Science and …, 2019
132019
🏅Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
H Liu*, A Das*, A Boltz*, D Zhou, D Pinaroc, M Lease, MK Lee
Honorable Mention: CSCW'24. Proceedings of the 28th ACM Conference on …, 2023
12*2023
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims
L Shi, N Bhattacharya, A Das, M Lease, J Gwizdka
CHIIR 2022, 315-320, 2022
82022
A Conceptual Framework for Evaluating Fairness in Search
A Das, M Lease
arXiv preprint arXiv:1907.09328, 2019
72019
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
V Kovatchev, T Chatterjee, VS Govindarajan, J Chen, E Choi, G Chronis, ...
(DADC Workshop 2022) Proceedings of the First Workshop on Dynamic …, 2022
42022
The Case for Claim Difficulty Assessment in Automatic Fact Checking
P Singh, A Das, JJ Li, M Lease
arXiv preprint arXiv:2109.09689, 2021
42021
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking
A Das, K Mehta, M Lease
arXiv preprint arXiv:1907.03718, 2019
42019
Fairly accurate: Learning optimal accuracy vs. fairness tradeoffs for hate speech detection.
V Kovatchev, S Gupta, A Das, M Lease
arXiv preprint, 2022
32022
True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study
L Shi, N Bhattacharya, A Das, J Gwizdka
CHIIR 2023, 2023
22023
Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval.
S Gupta, G Singh, A Das, M Lease
ACM SIGIR ICTIR 2021, 2021
12021
Finding Pareto Trade-offs in Fair and Accurate Detection of Toxic Speech
S Gupta, V Kovatchev, A Das, M De-Arteaga, M Lease
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–19