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2024
Research report
The Devils After the Fall
This is a report by Nicola Baldwin of a Digital Residency at Living With Machines, on the dataset: Crowdsourced accidents data from Newspapers, working in line with the LWM aims for Radical Collaboration, New Perspectives, Analysing at Scale. The following document is a personal account of work done, thoughts arising...Baldwin, Nicola
Living with Machines, accidents, Victorian, film, crowdsourcing, newspaper, and digital humanities
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2022
Abstract
Historic machines from 'prams' to 'Parliament': new avenues for collaborative linguistic research
Research in computational linguistics has made successful attempts at modelling word meaning at scale, but much remains to be done to put these computational models to the test of historical scholarship (see e.g. Beelen et al. 2021). More importantly, a lot of computational research looks at texts in a historical...Ridge, Mia ; Tolfo, Giorgia ; Westerling, Kalle ; Pedrazzini, Nilo ; McGillivray, Barbara
crowdsourcing, computational linguistics, and digital humanities
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2020
Dataset
Living with Machines alpha and beta Zooniverse 'accident' task data
Data created through crowdsourcing tasks hosted on the Zooniverse platform. Members of the public were asked to look at a selection of articles from 19th century newspapers that mentioned machines and decide if they described an industrial accident. A further task asked participants to transcribe personal, organisational and place names...Zooniverse volunteers
crowdsourcing, digital history, citizen history, Living with Machines, newspapers, and digital humanities