https://github.com/briatte/elus

Bayesian ideal points of French politicians, based on Twitter data.
https://github.com/briatte/elus

france ideal-points politics twitter

Last synced: 10 days ago
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Bayesian ideal points of French politicians, based on Twitter data.

• Host: GitHub
• URL: https://github.com/briatte/elus
• Owner: briatte
• Created: 2015-04-26T12:20:15.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-09-05T16:06:39.000Z (about 9 years ago)
• Last Synced: 2024-06-13T16:12:40.754Z (5 months ago)
• Topics: france, ideal-points, politics, twitter
• Language: R
• Homepage:
• Size: 539 KB
• Stars: 5
• Watchers: 5
• Forks: 4
• Open Issues: 7
• Metadata Files:
  • Readme: README.md

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README

        
Code to estimate Bayesian ideal points for French politicians from Twitter data. Forked from [pablobarbera](https://github.com/pablobarbera)'s code at [`twitter_ideology`](https://github.com/pablobarbera/twitter_ideology/). Edits by [briatte](https://github.com/briatte) and [3wen](https://github.com/3wen). 

- Read the [draft paper](http://f.briatte.org/research/spq-paper.pdf) and [its appendix](http://f.briatte.org/research/spq-appendix.pdf)

- See the [HOWTO](HOWTO.md) file for details on how to run the code

- Feel free to [suggest improvements or report bugs](https://github.com/briatte/elus/issues)

# SOURCES

- Many Twitter accounts from [Elus 2.0](http://www.elus20.fr/elus-web-facebook-twitter/), [eTerritoire](http://www.eterritoire.fr/blog/category/statistiques-twitter/) and [Regards Citoyens](http://www.regardscitoyens.org/).

- Election results from Ministère de l'Intérieur via [Data.gouv.fr](https://www.data.gouv.fr).

- French administrative units from Insee via [Wikipedia Francophone](https://fr.wikipedia.org/wiki/).

- Geocodes from [Google Maps](https://developers.google.com/maps/).

- GEOFLA shapefiles from [IGN](http://professionnels.ign.fr/geofla) (not included).

- Government composition by Premier ministre via [Data.gouv.fr](https://www.data.gouv.fr).

- List of French first names by [Mike Campbell and Boris New](http://www.lexique.org/public/prenoms.php) (not included).

- Population age group figures by [Irdes](https://www.data.gouv.fr/fr/datasets/population-par-tranche-d-age-et-sexe-estimations-localisees-de-population/) (not included).

# SEEALSO

- [This blog post](http://politbistro.hypotheses.org/2589) (in French) explains how to plot the data as a network.

- [This blog post](http://politbistro.hypotheses.org/2604) (in French) shows some intermediary results of the model.

- [This paper](https://files.nyu.edu/pba220/public/barbera_twitter_ideal_points.pdf) by [pablobarbera](https://github.com/pablobarbera) explains the nuts and bolts of the model.

- [This blog post](http://stats2u.blogspot.fr/2015/03/ideologia-de-politicos-usando-o-twitter.html) (in Portuguese) does something similar with Brazilian politicians.

- [This paper](http://dx.doi.org/10.1017/S0003055414000525) reviews the relevant literature and does something quite similar with Facebook "likes".

- [This blog post](http://blogs.lse.ac.uk/europpblog/2014/12/09/political-discussions-on-twitter-during-elections-are-dominated-by-those-with-extreme-views/) by [pablobarbera](https://github.com/pablobarbera) and [griverorz](https://github.com/griverorz) discusses partisan polarisation on Twitter.