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Demo Data from EDBT 2026 / reviewers in the wild / expert

Matt Murtagh-White

dblp:343/4810 · also Matt Murtagh · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0003-3343-6882ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Trustworthy machine learning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › content moderation
harmful content detection		 1.012026
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects · ACL (1) 2026
Machine learning › Trustworthy machine learning › fairness › bias in language models
dialect bias		 0.312026
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects · ACL (1) 2026
Machine learning › Trustworthy machine learning
fairness		 0.312026
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

benchmark evaluation · 1.0
YearPublicationVenuePosition
2026 DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
abstract
Jason S Lucas, Matt Murtagh White, Ali Al-Lawati, Uchendu Uchendu, Adaku Uchendu, Dongwon Lee. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Jason S. Lucas, Matt Murtagh-White, Ali Al-Lawati, Uchendu Uchendu, Adaku Uchendu, Dongwon Lee 0001
 ACL (1)2
2026 "As Long as It Does What I Want, I'd Be Happy to Trust It": Exploring User Perspectives on a Scrutable Assistant for Time Management
Jovan Jeromela, Matt Murtagh-White, Jasmina Gajcin, Alok Debnath, Dipto Barman, Owen Conlan
 UMAP2