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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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The Grass Is Not Greener on the Other Side: The Role of Attention in Voting Behavior

Authors: Štěpán Mikula;

The Grass Is Not Greener on the Other Side: The Role of Attention in Voting Behavior

Abstract

Replication script and data for paper "The Grass Is Not Greener on the Other Side: The Role of Attention in Voting Behavior". The replication script (replication_code.R) is looking for the data in a directory ./DATA. Specifically, it reads data from .RData file (data_replication.RData) with the following variables: year ... Election year/Election ID, ballot ... Ballot ID -- a combination of KSTRANA (election-specific party ID), VOLKRAJ (constituency ID) and year, pref_hlasy ... Number of preferential votes (n), otherside ... Indicator variable for candidates listed on the reverse side, male ... Indicator variable for males, agecat ... Age category, VEK ... Age, ISCO ... ISCO 1 (other -- not categorized in ISCO), maxBallot ... Total number of candidates on the ballot, POC_HLASU ... Total number of votes cast for the party, dff ... Distance to break, ISCED* ... Indicator variables for ISCED categories Dataset contains only publicly available data described in the underlying paper. Voting data available from https://www.volby.cz/opendata/opendata.htm are augmented with ISCO categories and the variable "otherside". Both were coded manually.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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