The Explainability TurnEN
I suggest recent moves to assuage worries over the opaque and threatening potential of computation, termed explainability, might contribute to tool criticism within digital humanities.
Tool criticism in practice. On methods, tools and aims of computational literary studies- J. Berenike Herrmann
- Anne-Sophie Bories
- Francesca Frontini
- Clèmence Jacquot
- Steffen Pielström
- Simone Rebora
- Geoffrey Rockwell
- Stéfan Sinclair
EN
This article reflects a rich array of perspectives on tools criticism, arguing that we need tools and methods as a basic common ground on how to carry out fundamental operations of analysis and interpretation within a community.
Slow Listening: Digital Tools for Voice Studies- Marit J. MacArthur
- Lee M. Miller
EN
This article provides a critical narrative of our research in applying, developing and refining tools for the analysis of pitch and timing patterns in recorded performances of literary texts.
Bias in Big Data, Machine Learning and AI: What Lessons for the Digital Humanities?EN
This article surveys the ways in which issues of race and gender bias emerge in projects involving the use of predictive analytics, big data and artificial intelligence (AI).
The Politics of ToolsEN
If it is true that our tool-building cannot define or predict the specific political arrangements that may later arise, we should perhaps be most circumspect not when we are tempted to imagine our efforts to be neutral, but rather when we imagine our tools to be acts of resistance or outright political activism.
Sentiment Analysis in Literary Studies. A Critical SurveyEN
The article sets up a critique of Sentiment Analysis (SA) tools in literary studies, both from a theoretical and a computational point of view.
Unpacking tool criticism as practice, in practiceEN
This paper explores tool criticism – a critical attitude required of digital humanities scholars when working with computational tools and digital infrastructures.