6 citations · 12 across the 5 of their papers we have counts for
5 papers
Developing a Natural Language Understanding Model to Characterize Cable News Bias
Seth P. Benson, Iain J. Cruickshank
Media bias has been extensively studied by both social and computational sciences. However, current work still has a large reliance on human input and subjective assessment to labe…
Analysis of Media Writing Style Bias through Text-Embedding Networks
Iain J. Cruickshank, Jessica Zhu, Nathaniel D. Bastian
With the rise of phenomena like `fake news' and the growth of heavily-biased media ecosystems, there has been increased attention on understanding and evaluating media bias. Of par…
Measuring Classification Decision Certainty and Doubt
Alexander M. Berenbeim, Iain J. Cruickshank, Susmit Jha +2
Quantitative characterizations and estimations of uncertainty are of fundamental importance in optimization and decision-making processes. Herein, we propose intuitive scores, whic…
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities
Katherine R. Maffey, Kyle Dotterrer, Jennifer Niemann +3
Many organizations seek to ensure that machine learning (ML) and artificial intelligence (AI) systems work as intended in production but currently do not have a cohesive methodolog…
Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations
Gian Maria Campedelli, Iain J. Cruickshank, Kathleen M. Carley
Capturing dynamics of operational similarity among terrorist groups is critical to provide actionable insights for counter-terrorism and intelligence monitoring. Yet, in spite of i…