Automated Author Profile

Macdonald, Maggie

Center for Social Media and Politics, New York University

Current S-Index

0.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

57.7%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Replication Data for: "Pursuing Change or Pursuing Credit? Litigation and Credit Claiming on Social Media" (Version: 1.0)

The below data and code replicates the main and appendix analyses for "Pursuing Change or Pursuing Credit? Litigation and Credit Claiming on Social Media"An important caveat to this data: by user agreements, we are unable to share the full text of either the Facebook or tweets. We created a unique identifier (id for Facebook and tweet_id for Twitter) that, alongside the handles/user names, can be used to rehydrate and gather the posts we used for this paper. We are happy to discuss the data limitations and how we gathered the data in more detail. Interest groups often post about their judicial advocacy on social media. We argue that they do so for two main reasons. First, providing information about the courts on social media builds the group’s credibility as a source of information with policymakers, media, and the public. Second, social media provides a way to claim credit for litigation activity and outcomes, which can increase membership and aid in fundraising. Using original datasets of millions of tweets and Facebook posts by interest groups, we provide evidence that interest groups use social media for public education and to credit claim for their litigation activity.

Authors

  • Gunderson, Anna ;
  • Widner, Kirsten ;
  • Macdonald, Maggie
0 Citations0 Mentions58% FAIR0.3 Dataset Index
10.7910/dvn/skd1rs2022