Annotating speaker stance in discourse: the Brexit Blog Corpus (BBC)

Creator/Principal investigator(s)

Andreas Kerren - Linnaeus University orcid

Carita Paradis - Lund University, Center for Language and Literature orcid

Description

In this study, 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 were 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.

Purpose:

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 lev

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Subject area

MEDIA, COMMUNICATION AND LANGUAGE, Language and linguistics, Information technology (CESSDA Topic Classification)
Language Technology (Computational Linguistics), General Language Studies and Linguistics, Specific Languages (The Swedish standard of fields of research 2011)

Responsible department/unit

Linnaeus University, Department of Computer Science

Creator/Principal investigator(s)

Andreas Kerren - Linnaeus University orcid

Carita Paradis - Lund University, Center for Language and Literature orcid

Identifiers

SND-ID: SND 1037

Description

In this study, 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 were 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.

Purpose:

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 lev

... Show more..

Language

English

Time period(s) investigated

2015-06-01 — 2016-05-31

Unit of analysis

Funding

Swedish Research Council — Ref. 2012-5659

Subject area

MEDIA, COMMUNICATION AND LANGUAGE, Language and linguistics, Information technology (CESSDA Topic Classification)
Language Technology (Computational Linguistics), General Language Studies and Linguistics, Specific Languages (The Swedish standard of fields of research 2011)

Contact for questions about the data

Andreas Kerren

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Publications

Vasiliki Simaki, Carita Paradis, Maria Skeppstedt, Magnus Sahlgren, Kostiantyn Kucher, and Andreas Kerren. Annotating speaker stance in discourse: the Brexit Blog Corpus. In Corpus Linguistics and Linguistic Theory, 2017. De Gruyter, published electronically before print. https://doi.org/10.1515/cllt-2016-0060

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Version 1.0

Brexit Blog Corpus (BBC)

Suggested citation

Andreas Kerren, Carita Paradis. Linnaeus University, Department of Computer Science (2017). <em>Brexit Blog Corpus (BBC)</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/002925">https://doi.org/10.5878/002925</a>

Creator/Principal investigator(s)

Andreas Kerren - Linnaeus University orcid

Carita Paradis - Lund University, Center for Language and Literature orcid

Description

The BBC is a collection of texts from blog sources. The corpus texts are thematically related to the 2016 UK referendum concerning whether the UK should remain members of the European Union or not. The texts were extracted from the Internet from June to August 2015. With the Gavagai API (https://developer.gavagai.se), the texts were detected using seed words, such as Brexit, EU referendum, pro-Europe, europhiles, eurosceptics, United States of Europe, David Cameron, or Downing Street. The retrie

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Data format / data structure

Text

Data collection

Time period(s) for data collection: 2015-06-01 — 2016-05-31

Source of the data: Research data

Variables

8

Number of individuals/objects

1682

Published: 2017-10-16
Last updated: 2019-01-15