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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1075/scl.12...
Part of book or chapter of book . 2024 . Peer-reviewed
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Sockpuppets, Wikifants, and Honeypots

Metaphorical patterns in digital discourses on Wikipedia talk pages
Authors: Eva Gredel;

Sockpuppets, Wikifants, and Honeypots

Abstract

Abstract This chapter analyses the discursive construction of collaborative text production via metaphors on talk pages of the English, French, and German Wikipedia. The cross-linguistic study makes use of the WikiDemoCorpus (WDC) to qualitatively reveal the source domains of these metaphors. Situated within the framework of discourse analysis in the tradition of Foucault (1966, 1969, 1971), the study analyses how Wikipedia authors use metaphors to create a certain point of view in their collaborations on talk pages. Additionally, the Wikipedia corpora available at the Leibniz Institute for the German Language (IDS) via the Corpus Search, Management and Analysis System II (COSMAS II) are used for exemplary quantification. Finally, the potential of further corpus linguistics methods for metaphor identification and analysis is discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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