Automated Organization Profile

Miami of Ohio

Current S-Index

10.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

27

Total datasets in this organization

Average FAIR Score

16.5%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Voter Perceptions V1 (Version: 1.0)

Contains estimates of voter perceptions of candidate's ideology using C/CES data from 2009-2024.

Authors

  • Reuning, Kevin
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.7910/dvn/vsrriyJanuary 2025

Replication Data for: The Party Replies: Examining Local Party Responsiveness to Prospective Campaign Volunteers (Version: 1.0)

We examine the role that local parties play in responding to and equipping local volunteers to work during campaign seasons. We use a field experiment during the 2020 U.S. general election to investigate whether local parties are more likely to respond to certain types of volunteers and to examine what factors are associated with local parties’ responsiveness. We find that both Democratic and Republican local parties in competitive counties are more likely to respond to volunteers. Moreover, we find that both parties are more likely to respond to white volunteers and Democratic parties are more likely to respond to women. These differential response rates may be contributing to the increased demographic sorting between the parties.

Authors

  • Hannah, Lee ;
  • Whitesell, Anne ;
  • Reuning, Kevin
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.7910/dvn/u82xg7January 2022

Replication Data for: Facebook Algorithm Changes May Have Amplified Local Republican Parties (Version: 1.0)

In this research note we document changes to rate of comments, shares, and reactions on local Republican Facebook pages. Near the end of 2018, local Republican parties started to see a much higher degree of interactions on their posts compared to Democratic parties. We show how this increase in engagement was unique to Facebook and happened across a range of over a thousand local parties. In addition, we use a changepoint model to identify when the change happened and find it lines up with reported information about the change in Facebook’s algorithm in 2018. We conclude that it seems possible that changes in how Facebook rated content led to a doubling of the total shares of Republican party posts compared to Democratic party posts in the first half of 2019 even though Democratic parties posted more often during this period. Regardless of Facebook’s motivations, their decision to change the algorithm might have given local Republican parties greater reach to connect with citizens and shape political realities for Americans. The fact that private companies can so easily control the political information flow for millions of Americans raises clear questions for the state of democracy.

Authors

  • Reuning, Kevin ;
  • Whitesell, Anne ;
  • Hannah, A. Lee
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.7910/dvn/htxy3rJanuary 2022

Replication Data for: Does the Ideology of the Newsroom Affect the Provision of Media Slant? (Version: 1.0)

Although research on the provision of ideologically slanted news has focused on consumers’ demands or news ownership’s profit margins and political agendas, little focus has been paid to those individuals who create the news content: the political journalists. We use a new measure of newspaper ideology derived from a large scale survey of journalists to estimate the ideology of almost 700 newsrooms, a substantial increase over previous efforts. By estimating newsroom ideology independent of content we show that newsroom ideology influences the responsiveness of newspapers to the demands of readers. We find that newsroom ideology has an effect on the ideological slant of news content even after controlling for consumer preferences. While consumer demand influences the ideological content of the news, the ideology of the newsroom that produces the news skews the responsiveness to the demands of readership and ultimately affects the production of ideological slant in the news.

Authors

  • Hassell, Hans ;
  • Miles, Matthew ;
  • Reuning, Kevin
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.7910/dvn/lqmgbgJanuary 2021

Election_Networks.zip

:unav

Authors

  • Reuning, Kevin
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.7910/dvn/ymdfpw/2vxjblJanuary 2020

backboning.txt

:unav

Authors

  • Reuning, Kevin
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.7910/dvn/idbnzc/6sujdkJanuary 2019

Election_Networks.zip

:unav

Authors

  • Reuning, Kevin
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.7910/dvn/ymdfpw/6tn88fJanuary 2019

scripts.R

:unav

Authors

  • Reuning, Kevin
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.7910/dvn/idbnzc/kz4a17January 2019

DataCombine.R

:unav

Authors

  • Reuning, Kevin
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.7910/dvn/idbnzc/syute2January 2019

elect_state_list.tab

:unav

Authors

  • Reuning, Kevin
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.7910/dvn/idbnzc/9uwmjoJanuary 2019