Measuring the Impact of Candidates’ Tweets on their Electoral Results. Papaxanthi, D., Kartsounidou, E., & Andreadis, Ι. In ECPR General Conference 2020, 2020. ECPR. ![Measuring the Impact of Candidates’ Tweets on their Electoral Results [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex As candidates are increasingly using Twitter in their political communication, a question about its effectiveness as a political marketing tool is raised. Of course, along Twitter usage, there are more “traditional” political campaigning tools such as door-knocking, visiting businesses and social organizations etc. The aim of this paper is to study the factors that could influence the electoral performance of the candidate MPs and whether Twitter usage is one of them. To this aim we use information about candidates’ previous political activity, electoral campaign tools, money spent on campaign etc acquired through survey data. We combine this dataset with data produced by candidates’ Twitter activity, to study their effectiveness on the 2019 Greek Parliamentary election results. We are studying which are the factors with the greater influence on preferential votes each candidate gets in his constituency. The first data source is the Hellenic Candidate Study 2019. This dataset provides useful information about candidates’ political campaigns such as campaign spending, campaign means etc. The other source is Twitter activity data. We also measure candidates’ popularity using two different approaches: i) Wikipedia (number of hits on each candidate’s Wikipedia page), ii) experts’ evaluation. We are particularly interested in candidates’ Twitter audience. We apply an innovative method of analysis of candidate’s network starting from retweeters for each candidates’ post. We also take into account the followers of each retweeter and the candidate’s followers. In this way we explore whether the size of the Twitter audience of a candidate is related to the electoral success, or in other words, whether larger network sizes are associated with more successful candidates relatively to the party share in each electoral constituency. First indications suggest that the size of candidates’ Twitter audience affect the preferential votes that a candidate receives in his constituency.
@inproceedings{papaxanthi_measuring_2020,
title = {Measuring the {Impact} of {Candidates}’ {Tweets} on their {Electoral} {Results}},
url = {https://ecpr.eu/Events/Event/PaperDetails/54504},
abstract = {As candidates are increasingly using Twitter in their political communication, a question about its effectiveness as a political marketing tool is raised. Of course, along Twitter usage, there are more “traditional” political campaigning tools such as door-knocking, visiting businesses and social organizations etc. The aim of this paper is to study the factors that could influence the electoral performance of the candidate MPs and whether Twitter usage is one of them. To this aim we use information about candidates’ previous political activity, electoral campaign tools, money spent on campaign etc acquired through survey data. We combine this dataset with data produced by candidates’ Twitter activity, to study their effectiveness on the 2019 Greek Parliamentary election results. We are studying which are the factors with the greater influence on preferential votes each candidate gets in his constituency. The first data source is the Hellenic Candidate Study 2019. This dataset provides useful information about candidates’ political campaigns such as campaign spending, campaign means etc. The other source is Twitter activity data. We also measure candidates’ popularity using two different approaches: i) Wikipedia (number of hits on each candidate’s Wikipedia page), ii) experts’ evaluation. We are particularly interested in candidates’ Twitter audience. We apply an innovative method of analysis of candidate’s network starting from retweeters for each candidates’ post. We also take into account the followers of each retweeter and the candidate’s followers. In this way we explore whether the size of the Twitter audience of a candidate is related to the electoral success, or in other words, whether larger network sizes are associated with more successful candidates relatively to the party share in each electoral constituency. First indications suggest that the size of candidates’ Twitter audience affect the preferential votes that a candidate receives in his constituency.},
booktitle = {{ECPR} {General} {Conference} 2020},
publisher = {ECPR},
author = {Papaxanthi, Dimitra and Kartsounidou, Evangelia and Andreadis, Ιoannis},
year = {2020},
}
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To this aim we use information about candidates’ previous political activity, electoral campaign tools, money spent on campaign etc acquired through survey data. We combine this dataset with data produced by candidates’ Twitter activity, to study their effectiveness on the 2019 Greek Parliamentary election results. We are studying which are the factors with the greater influence on preferential votes each candidate gets in his constituency. The first data source is the Hellenic Candidate Study 2019. This dataset provides useful information about candidates’ political campaigns such as campaign spending, campaign means etc. The other source is Twitter activity data. We also measure candidates’ popularity using two different approaches: i) Wikipedia (number of hits on each candidate’s Wikipedia page), ii) experts’ evaluation. We are particularly interested in candidates’ Twitter audience. We apply an innovative method of analysis of candidate’s network starting from retweeters for each candidates’ post. We also take into account the followers of each retweeter and the candidate’s followers. In this way we explore whether the size of the Twitter audience of a candidate is related to the electoral success, or in other words, whether larger network sizes are associated with more successful candidates relatively to the party share in each electoral constituency. 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