Refine
Document Type
- Part of a Book (2)
Language
- English (2)
Has Fulltext
- yes (2)
Is part of the Bibliography
- yes (2)
Keywords
- Autorschaft (1)
- Benennung (1)
- Computerlinguistik (1)
- Frame-Semantik (1)
- Name (1)
- Naming (1)
- Part-of-Speech-Tagging (1)
- Politiker (1)
- Präsident (1)
- Social Media (1)
Publicationstate
- Veröffentlichungsversion (2) (remove)
Reviewstate
- Peer-Review (2)
Publisher
We use a convolutional neural network to perform authorship identification on a very homogeneous dataset of scientific publications. In order to investigate the effect of domain biases, we obscure words below a certain frequency threshold, retaining only their POS-tags. This procedure improves test performance due to better generalization on unseen data. Using our method, we are able to predict the authors of scientific publications in the same discipline at levels well above chance.
Naming and titling have been discussed in sociolinguistics as markers of status or solidarity. However, these functions have not been studied on a larger scale or for social media data. We collect a corpus of tweets mentioning presidents of six G20 countries by various naming forms. We show that naming variation relates to stance towards the president in a way that is suggestive of a framing effect mediated by respectfulness. This confirms sociolinguistic theory of naming and titling as markers of status.