Automated Author ProfileMacdonald, Maggie
Center for Social Media and Politics, New York University
Macdonald, Maggie
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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