http://dl.gi.de/handle/20.500.12116/36583 Tue, 21 Jul 2026 13:28:55 GMT 2026-07-21T13:28:55Z http://dl.gi.de/handle/20.500.12116/36584 Frontmatter Frontmatter Article Frontmatter was published on February 1, 2018 in the journal it - Information Technology (volume 60, issue 1). Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/36584 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36589 Not-so-distant reading: A dynamic network approach to literature Luczak-Roesch, Markus; Grener, Adam; Fenton, Emma In this article we report about our efforts to develop and evaluate computational support tools for literary studies. We present a novel method and tool that allows interactive visual analytics of character occurrences in Victorian novels, and has been handed to humanities scholars and students for work with a number of novels from different authors. Our user study reveals insights about Victorian novels that are valuable for scholars in the digital humanities field, and informs UI as well as UX designers about how these domain experts interact with tools that leverage network science. Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/36589 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36590 Optimising crowdsourcing efficiency: Amplifying human computation with validation Chamberlain, Jon; Kruschwitz, Udo; Poesio, Massimo Crowdsourcing has revolutionised the way tasks can be completed but the process is frequently inefficient, costing practitioners time and money. This research investigates whether crowdsourcing can be optimised with a validation process, as measured by four criteria: quality; cost; noise; and speed. A validation model is described, simulated and tested on real data from an online crowdsourcing game to collect data about human language. Results show that by adding an agreement validation (or a like/upvote) step fewer annotations are required, noise and collection time are reduced and quality may be improved. Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/36590 2018-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/36587 Design and implementation of a platform for the citizen science project migraine radar Wogenstein, Florian; Gaul, Charly; Kropp, Peter; Scheidt, Jörg; Siebenhaar, Yannic; Drescher, Johannes In this paper we introduce the design and technical implementation of the citizen science project Migraine Radar. The goal of the project is to establish a large collection of migraine attack data in order to explore the trigger factors of migraine attacks. A main focus is the investigation of the influence of environmental factors like weather or changes in the geomagnetic activity on the frequency of migraine attacks. After registering with the project, participants report their migraine attack data using a web app or one of the smartphone apps implemented for Android and iOS. As a benefit, the system serves as a personal headache calendar and participants have access to statistics and individualized reports about their attacks. For scientific analysis the data are pre-processed and provided to the researchers in an anonymized way. Mon, 01 Jan 2018 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/36587 2018-01-01T00:00:00Z