research data . Dataset . 2016 . Embargo end date: 12 Jul 2017

Brexit stance annotated tweets

Grčar, Miha; Cherepnalkoski, Darko; Mozetič, Igor; Kralj Novak, Petra;
Open Access
  • Published: 01 Jan 2016
  • Publisher: Jožef Stefan Institute
Abstract
The corpus contains over 4.5 million tweets (tweet IDs) automatically labeled by a machine learning program with stance regarding Brexit: Positive (supporting Brexit), Negative (opposing Brexit), or Neutral (uncommitted). The Brexit referendum was held on June 23, 2016, to decide whether the UK should leave or remain in the EU. In the weeks before the referendum, starting on May 12, the UK geo-located Brexit-related tweets were continuously collected resulting in a dataset of around 4.5 million (4,508,440) tweets from almost one million (998,054) users. A large sample of the collected tweets (35,000) was manually labeled for the stance of their authors regarding...
Persistent Identifiers
Funded by
EC| DOLFINS
Project
DOLFINS
Distributed Global Financial Systems for Society
  • Funder: European Commission (EC)
  • Project Code: 640772
  • Funding stream: H2020 | RIA
Communities
FET H2020FET PROACT: Global Systems Science (GSS)
FET H2020FET PROACT: Distributed Global Financial Systems for Society
Digital Humanities and Cultural Heritage
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