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Political influence and prominence are both important drivers and outcomes of political careers, however are hard to quantify. I develop a method to measure these characteristics for a large set of political elites using information from the largest database of politicians - the English Wikipedia. I argue that metadata from the encyclopaedia, such as article editing, readership metrics, and linkage structures are reflective of the latent traits. A Bayesian latent variable model is employed to identify prominence and influence scores for a set of 45,000 U.S. politicians. Several validation exercises corroborate the superiority of the measures over existing alternatives. To illustrate their usefulness, I present an analysis of media appearances of political elites. The ability to measure the importance of political elites on a large scale has various implications for the understanding of political career paths, electoral performance, and legislative politics.
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Stored only when both papers are in the corpus — 4 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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