71 citations · 102 across the 8 of their papers we have counts for
8 papers
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
Houjiang Liu, Anubrata Das, Alexander Boltz +4
While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such…
True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study
Li Shi, Nilavra Bhattacharya, Anubrata Das +1
Misinformation is an important topic in the Information Retrieval (IR) context and has implications for both system-centered and user-centered IR. While it has been established tha…
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das, Houjiang Liu, Venelin Kovatchev +1
Misinformation threatens modern society by promoting distrust in science, changing narratives in public health, heightening social polarization, and disrupting democratic elections…
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan +9
Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability. Here, we describe the approach of the tea…
ProtoTEx: Explaining Model Decisions with Prototype Tensors
Anubrata Das, Chitrank Gupta, Venelin Kovatchev +2
We present ProtoTEx, a novel white-box NLP classification architecture based on prototype networks. ProtoTEx faithfully explains model decisions based on prototype tensors that enc…
The Case for Claim Difficulty Assessment in Automatic Fact Checking
Prakhar Singh, Anubrata Das, Junyi Jessy Li +1
Fact-checking is the process of evaluating the veracity of claims (i.e., purported facts). In this opinion piece, we raise an issue that has received little attention in prior work…
A Conceptual Framework for Evaluating Fairness in Search
Anubrata Das, Matthew Lease
While search efficacy has been evaluated traditionally on the basis of result relevance, fairness of search has attracted recent attention. In this work, we define a notion of dist…
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking
Anubrata Das, Kunjan Mehta, Matthew Lease
The effect of user bias in fact-checking has not been explored extensively from a user-experience perspective. We estimate the user bias as a function of the user's perceived reput…