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Annotating speaker stance in discourse : The Brexit Blog Corpus

Simaki, Vasiliki LU ; Skeppstedt, Maria ; Paradis, Carita LU orcid ; Kerren, Andreas and Sahlgren, Magnus (2020) In Corpus Linguistics and Linguistic Theory 16(2). p.215-248
Abstract
The aim of this study is to explore the possibility of identifying speaker stance in discourse, provide an analytical resource for it and an evaluation of the level of agreement across speakers in the area of stance-taking in discourse. We explore to what extent language users agree about what kind of stances are expressed in natural language use or whether their interpretations diverge. In order to perform this task, a comprehensive cognitive-functional framework of ten stance categories was developed based on previous work on speaker stance in the literature. A corpus of opinionated texts, where speakers take stance and position themselves, was compiled, the Brexit Blog Corpus (BBC). An analytical interface for the annotations was set up... (More)
The aim of this study is to explore the possibility of identifying speaker stance in discourse, provide an analytical resource for it and an evaluation of the level of agreement across speakers in the area of stance-taking in discourse. We explore to what extent language users agree about what kind of stances are expressed in natural language use or whether their interpretations diverge. In order to perform this task, a comprehensive cognitive-functional framework of ten stance categories was developed based on previous work on speaker stance in the literature. A corpus of opinionated texts, where speakers take stance and position themselves, was compiled, the Brexit Blog Corpus (BBC). An analytical interface for the annotations was set up and the data was annotated independently by two annotators. The annotation procedure, the annotation agreement and the co-occurrence of more than one stance category in the utterances are described and discussed. The careful, analytical annotation process has by and large returned satisfactory inter- and intra-annotation agreement scores, resulting in a gold standard corpus, the final version of the BBC. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
text annotation, blog post texts, modality, opinion, sentiment, Appraisal, evaluation, grounding, evidentiality, subjectivity, attitude, positioning
in
Corpus Linguistics and Linguistic Theory
volume
16
issue
2
pages
34 pages
publisher
Mouton de Gruyter
external identifiers
  • scopus:85037856904
ISSN
1613-7035
DOI
10.1515/cllt-2016-0060
project
StaViCTA - Advances in the description and explanation of stance in discourse using visual and computational text analytics
language
English
LU publication?
yes
id
18e17da2-9c3f-4c27-8980-7a04d12aacda
date added to LUP
2017-08-24 09:14:40
date last changed
2022-04-25 01:44:16
@article{18e17da2-9c3f-4c27-8980-7a04d12aacda,
  abstract     = {{The aim of this study is to explore the possibility of identifying speaker stance in discourse, provide an analytical resource for it and an evaluation of the level of agreement across speakers in the area of stance-taking in discourse. We explore to what extent language users agree about what kind of stances are expressed in natural language use or whether their interpretations diverge. In order to perform this task, a comprehensive cognitive-functional framework of ten stance categories was developed based on previous work on speaker stance in the literature. A corpus of opinionated texts, where speakers take stance and position themselves, was compiled, the Brexit Blog Corpus (BBC). An analytical interface for the annotations was set up and the data was annotated independently by two annotators. The annotation procedure, the annotation agreement and the co-occurrence of more than one stance category in the utterances are described and discussed. The careful, analytical annotation process has by and large returned satisfactory inter- and intra-annotation agreement scores, resulting in a gold standard corpus, the final version of the BBC.}},
  author       = {{Simaki, Vasiliki and Skeppstedt, Maria and Paradis, Carita and Kerren, Andreas and Sahlgren, Magnus}},
  issn         = {{1613-7035}},
  keywords     = {{text annotation; blog post texts; modality; opinion; sentiment; Appraisal; evaluation; grounding; evidentiality; subjectivity; attitude; positioning}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{215--248}},
  publisher    = {{Mouton de Gruyter}},
  series       = {{Corpus Linguistics and Linguistic Theory}},
  title        = {{Annotating speaker stance in discourse : The Brexit Blog Corpus}},
  url          = {{https://lup.lub.lu.se/search/files/34256897/_Corpus_Linguistics_and_Linguistic_Theory_Annotating_Speaker_Stance_in_Discourse_The_Brexit_Blog_Corpus.pdf}},
  doi          = {{10.1515/cllt-2016-0060}},
  volume       = {{16}},
  year         = {{2020}},
}