SMAPPNYU / lead_follow_apsrLinks
Replication materials for "Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data", forthcoming in APSR
☆25Updated 6 years ago
Alternatives and similar repositories for lead_follow_apsr
Users that are interested in lead_follow_apsr are comparing it to the libraries listed below
Sorting:
- Incivility classifier used in Theocharis et al (2020, Sage Open)☆20Updated 3 years ago
- Print multiple stm model dashboards to a pdf file for inspection☆41Updated 6 years ago
- Extract effects from estimateEffect in the stm package☆50Updated 5 years ago
- SJMC Time Series Boot Camp - Materials by Josephine Lukito and Jordan Foley☆41Updated 5 years ago
- ☆38Updated last year
- 🍵 Create and administrate validation tests for automated content analysis tools.☆58Updated 2 months ago
- Semi-supervised algorithm for geographical document classification☆65Updated 7 months ago
- R-package to estimate media scores from url sharing data☆13Updated last year
- 💒 Reproducible Extraction of Cross-lingual Topics using R☆20Updated 2 years ago
- An R package for estimating and doing statistical inference on context-specific word embeddings.☆108Updated 5 months ago
- Materials for 2021 Workshop on Text and Network Methods☆12Updated 3 years ago
- A Wrapper To Retrieve Data From The CrowdTangle API☆19Updated 4 years ago
- ☆13Updated 7 years ago
- Readme2: An R Package for Improved Automated Nonparametric Content Analysis for Social Science☆48Updated last month
- A simple Shiny App for Topic Modeling in R☆44Updated last month
- Paper and related materials for Rodriguez & Spirling (JOP, 2022) word embeddings overview and assessment☆49Updated 3 years ago
- An R package for semantic network analysis☆24Updated 8 years ago
- Syllabus and material for a semester-long course on text analysis for the social science and humanities.☆31Updated 8 years ago
- Python module to extract articles from NexisUni and Factiva.☆39Updated 6 years ago
- A Shiny Application for Inspecting Structural Topic Models☆121Updated last year
- Text as Data 2019☆60Updated 6 years ago
- Replication materials including code and data for "A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly…☆27Updated 8 years ago
- Dictionaries for text analysis☆75Updated 3 years ago
- Makes a call to the Botometer API in R to obtain the probability that a specified Twitter handle is a bot.☆30Updated 4 years ago
- Interface to the Comparative Legislators Database☆96Updated 2 years ago
- ☆11Updated 3 years ago
- Python code for producing emotionality scores from Gennaro and Ash (2021).☆20Updated 4 years ago
- Materials for "Text as Data" classes at Penn State and Essex.☆26Updated 4 years ago
- Working with newspaper data from 'LexisNexis'☆110Updated last year
- Chris Bail's graduate-level computational social science course☆24Updated 4 years ago