Published June 24, 2018 | Version v1
Dataset Open

#Élysée2017fr: The 2017 French Presidential Campaign on Twitter

Description

# README

This archive contains the #Élysée2017fr dataset.

(Initially published at https://web.archive.org/web/20200530171644if_/https://dataverse.mpi-sws.org/dataverse/icwsm18 on June 24, 2018. This dataverse being defunct now, we repost on Zenodo)


## Content

### keywords.csv
The keywords used to collect the initial dataset, each presented with the start and stop dates of use (date format: YYYY-MM-DD).


### profiles_annotations.csv
The manual profiles annotations. The file contains the following columns:

#### FROM_USER_ID
The profile's id used by Twitter

#### PROFILE_NATURE
"**individual**" if the profile is managed by a single person, else "**non individual**".
The "**non individual**" label is itself divided in 3 subcategories:
  - "**political**" for profiles of political parties or associations, and profiles representing groupes of militants.
  - "**media**" for profiles of media outlets.
  - "**other**" for profiles not included in the previous categories.

#### PARTY
The profile's political affiliation(s), indicated as the shortcut for the political party:
  - "**fi**": France Insoumise (far-left)
  - "**ps**": Parti Socialiste (left)
  - "**em**": En Marche ! (center)
  - "**lr**": Les Républicains (right)
  - "**fn**": Front National (far-right)
  - **null**: no political affiliation

When a profile has 2 affiliations, they are separated by a slash (ex: "ps/fi"). 

#### MEDIA_PROFESSIONAL
*For individual profiles only.*
Indicates if the profile's owner self-identify as a media professional (journalist, editorialist, ...)

#### SEX
*For individual profiles only.*
Indicates the sex of the profile's owner:
 - "**m**": male
 - "**f**": female
 - **null**: undetermined or other


### posts_ids_*
Files containing the tweets and retweets ids, divided according to the political affiliation of their authors for more flexibility.
  - **posts_ids_fi.csv**: Tweet ids for profiles affiliated to France Insoumise (far-left)
  - **posts_ids_ps.csv**: Tweet ids for profiles affiliated to Parti Socialiste (left)
  - **posts_ids_em.csv**: Tweet ids for profiles affiliated to En Marche ! (center)
  - **posts_ids_lr.csv**: Tweet ids for profiles affiliated to Les Républicains (right)
  - **posts_ids_fn.csv**: Tweet ids for profiles affiliated to Front National (far-right)
  - **posts_ids_multi_affiliations.csv**: Tweet ids for profiles affiliated to more than one party
  - **posts_ids_indetermined.csv**: Tweet ids for profiles not affiliated to any party

Each file contains one tweet id per line.


### networks_*
Files containing the mention and retweet networks, in NCOL and GraphML format.

The NCOL files contains the directed weighted edges between profiles, one per line, in the following format:
profile1_twitter_id profile2_twitter_id edge_weight

The GraphML files contains the directed weighted edges between profiles, as well as all the profiles annotations presented in *profiles_annotations.csv*. They can be opened using a graph visualisation software like Gephi.

 

## How to get tweets from ids
You can use various tools to help you get tweets from their ids, we suggest the following:
- DMI-TCAT: https://github.com/digitalmethodsinitiative/dmi-tcat
- Twarc: https://github.com/DocNow/twarc

 

## How to cite this work
Fraisier Ophélie, Cabanac Guillaume, Pitarch Yoann, Besançon Romaric, Boughanem Mohand. 2018. #Élysée2017fr: the French Presidential Election on Twitter. In International Conference on Weblogs and Social Media. https://aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17821 (https://hal.archives-ouvertes.fr/hal-02319715)

Notes

Initially published at https://web.archive.org/web/20200530171644if_/https://dataverse.mpi-sws.org/dataverse/icwsm18 on June 24, 2018. This dataverse being defunct now, we repost on Zenodo.

Files

keywords.csv

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Additional details

Related works

Funding

LiSTIC – Digital Ties and (mobile) Information and Communication Technologies ANR-16-CE26-0014
Agence Nationale de la Recherche