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Field research for humanities with social media: crowdsourcing and algorithmic data analysis

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dc.contributor.authorBry, François
dc.contributor.authorKneißl, Fabian
dc.contributor.authorWieser, Christoph
dc.contributor.editorHeiß, Hans-Ulrich
dc.contributor.editorPepper, Peter
dc.contributor.editorSchlingloff, Holger
dc.contributor.editorSchneider, Jörg
dc.date.accessioned2018-11-27T09:59:43Z
dc.date.available2018-11-27T09:59:43Z
dc.date.issued2011
dc.description.abstractHumanities rely on both field research data and databases but rarely have the means necessary for employing them. Crowdsourcing on the Web using social media specifically designed for the purpose offers a promising alternative. This article reports about two endeavors of this kind: enriching an art history database with semantic interpretations and collecting and assessing the regional and social origins of parts of speech for a linguistic investigation. The article motivates and describes the approach and further introduces into the semantic analysis method based on higherorder singular value decomposition specially designed for the project.en
dc.identifier.isbn978-88579-286-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18750
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2011 – Informatik schafft Communities
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-192
dc.titleField research for humanities with social media: crowdsourcing and algorithmic data analysisen
dc.typeText/Conference Paper
gi.citation.endPage430
gi.citation.publisherPlaceBonn
gi.citation.startPage430
gi.conference.date4.-7. Oktober 2011
gi.conference.locationBerlin
gi.conference.sessiontitleRegular Research Papers

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