OTHER TOOLS
This R tool has been developed to support the implementation of the Manifesto Gender Analysis (MGA) protocol for the coding of electoral programmes. Designed as a Shiny-based application, it enables the structured annotation of quasi-sentences within manifesto data and similar textual corpora. The tool provides a user-friendly interface that facilitates systematic and consistent coding, allowing researchers to apply the MGA protocol in a transparent and standardised manner. By supporting the organisation and annotation of textual data, it contributes to improving the reliability and comparability of the analysis across cases.
Carteny, G. (2026). UNTWIST Manifesto Gender Analysis (MGA) Annotation Tool [Computer software]. GitHub.
This Python-based tool has been developed to facilitate the analysis and visualisation of the UNTWIST WP4 manifesto dataset, with a particular focus on enabling flexible aggregation of sentence-level data. Implemented as a desktop application using PySide6, it provides a user-friendly interface through which users can explore, filter, and inspect the dataset prior to further analysis. The tool allows users to load the original dataset, apply filters, and switch between disaggregated and aggregated views. A key feature is its aggregation functionality, which operates at the document level by grouping quasi-sentence annotations according to a unique combination of variables (including project, country, election date, and party identifiers). Rather than aggregating directly at the sentence level, the application counts sentence-level annotations within each document and returns a single aggregated record per document. The tool also supports the export of both filtered and aggregated data in CSV format, thereby facilitating further analysis, transparency, and reuse of the dataset.
Carteny, G. (2026). UNTWIST Manifesto Gender Analysis (MGA) Aggregation Tool [Computer software]. GitHub.