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Voter Autrement 2024 - The Online Experiment

Authors: Delemazure, Théo; Freeman, Rupert; Lang, Jérôme; Laslier, Jean-François; Peters, Dominik;

Voter Autrement 2024 - The Online Experiment

Abstract

The election of the French representative to the European Parliament is based on a proportional representation system with a 5% threshold. Due to this threshold, votes for parties that do not reach this threshold are lost, and the corresponding voters are not represented, and not taken into account for the allocation of seats. In this context, we wanted to test alternative voting methods that could mitigate this issue by allowing voters to rank more than one list. We conducted an online voting experiment during the election of the French representative to the European Parliament in June 2024. In this experiment, participants were asked to vote with the alternative voting methods, and give their opinion. We ran the experiment on two sample of participants, a self-selected one in which every voter could participate, and a representative one, collected through a poll institute. If you are using this dataset in a scientific paper, please cite our paper Reallocating Wasted Votes in Proportional Parliamentary Elections with Thresholds (Théo Delemazure, Rupert Freeman, Jérôme Lang, Jean-François Laslier, Dominik Peters). V2.0: Added the representative dataset and updated the documentation. V1.2: same bug but in "participants.csv" for voting intentions. V1.1: there was a bug in the data of the "vote_two_choices.csv" file => NaN values were replaced by "ESPERANTO LANGUE COMMUNE".

Keywords

Voting, Social Choice, Elections

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average