Analyzing and Categorizing Orphan Pages in Wikipedia

This project was developed by Nicola Bancher for his Bachelor's Thesis in Computer Science at the University of Trento, under the supervision of Cristian Consonni and Alberto Montresor.

Overview

The project aims to provide a regularly updated and interactive dashboard about the characteristics of orphan pages and the characteristics of the authors who create them. It also includes a tool for de-orphaning pages aided by an LLM.

Article analysis

The Article Analysis page builds on the research presented in “Orphan Articles: The Dark Matter of Wikipedia”.

It extends the analysis by incorporating Wikipedia’s native article categories and data on the editors who created the orphan articles. It also uses all the 64 themes from the taxonomy described in “Language-agnostic topic classification for Wikipedia.”, rather than only the four macro-themes.

LLM-assisted de-orphaning

The tool for de-orphaning articles works by creating a prompt containing the instructions for the LLM, the links to the orphan pages that exist in other languages and the wikitext of those pages.

The LLM is asked to create a table of suggested edits, specifying:

All suggestions must be reviewed by the user and applied manually to Wikipedia. The tool does not edit Wikipedia automatically.