[Article] Public’s Perception of Political Parties during the 2014 Quebec Election on Twitter

Research Article_s NLP

This article investigates how to extract signals from social media (Twitter) concerning political parties during an election.

William Sanger https://avantgarde.cirano.qc.ca/staff/william-sanger (Polytechnique Montréal & CIRANO (Canada))https://avantgarde.cirano.qc.ca/staff/william-sanger , Thierry Warin https://www.warin.ca (HEC Montréal & CIRANO (Canada))https://www.hec.ca/en/profs/thierry.warin.html
05-01-2018

Abstract

670,000 messages were collected during the 2014 Québec election regarding each political party using a framing strategy. After associating each message to one of the four main topics of the campaign, two logistic models were developed to describe the election. While having been set by the incumbent party, the topic of “Independence” was not the most important topic of the campaign (“Economy” and “Society” were). When dominating in terms of mentions, each party was associated to a topic, and such association changed during the campaign.

From a practical standpoint, the findings of this article could be used to implement a framework to understand political campaigns dynamics through social media.

Keywords: Conversation analysis, Political communication, Social media, Electoral campaign, Social data science


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Citation

For attribution, please cite this work as

Sanger & Warin, "Thierry Warin, PhD: [Article] Public’s Perception of Political Parties during the 2014 Quebec Election on Twitter", Canadian Journal of Communication, 2018

BibTeX citation

@article{sanger2018[article],
  author = {Sanger, William and Warin, Thierry},
  title = {Thierry Warin, PhD: [Article] Public’s Perception of Political Parties during the 2014 Quebec Election on Twitter},
  journal = {Canadian Journal of Communication},
  year = {2018},
  note = {https://warin.ca/posts/article-public-perception/},
  doi = {10.22230/cjc.2018v43n2a3251}
}