Objective
Many claim that politicians make more, and more extreme, emotional appeals than ever before, because these appeals win over the emotional citizen. With highly emotive language people like Donald Trump, Geert Wilders or Marine Le Pen are pounding on the portals to power. Do such emotional appeals affect citizens’ political choices? Yes, they can. But, citizens’ existing emotional attachments to parties, leaders or issues moderate the success of emotional appeals. POLEMIC will extend existing theory and use novel methods to explain when (types of) emotional appeals are persuasive, and when emotional attachments prevent persuasion.
Do politicians actually make more emotional appeals than in the past? And if so why are they doing it? We lack historical data of emotional appeals so we cannot answer these questions. POLEMIC will provide unique, historical data (1945-now, 9 countries) of emotional appeals by politicians in their speeches. I develop and test 3 alternative theories from different intellectual traditions that explain why politicians make emotional appeals: is it either (1) a vote-maximizing strategy, (2) a product of the personality of a politician or (3) just fashionable?
POLEMIC analyses emotional appeals of politicians and the emotional responses of citizens to these appeals. Emotional appeals are texts, and emotions are experiences by the brain. To measure them POLEMIC will use innovative methods in political science: automated text analysis to extract emotion from appeals; physiological measurement to measure emotions.
POLEMIC offers a ground-breaking combination of a macro-perspective (what politicians say) and a micro-perspective (how citizens respond) and forms a bridge between party politics and political psychology. The project’s output will indicate the importance of emotion in the decision-making of citizens, and the level of rationality that is behind politicians’ decision to make emotional appeals.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2017-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1012WX Amsterdam
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.