# 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)

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.