Dataset Open Access
#Élysée2017fr: The 2017 French Presidential Campaign on Twitter
Fraisier;
Cabanac;
Pitarch;
Besançon;
Boughanem
DCAT Export
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<dct:title>#Élysée2017fr: The 2017 French Presidential Campaign on Twitter</dct:title>
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<dct:description><p># README</p> <p>This archive contains the #&Eacute;lys&eacute;e2017fr dataset.</p> <p>(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)</p> <p><br> ## Content</p> <p>### keywords.csv<br> The keywords used to collect the initial dataset, each presented with the start and stop dates of use (date format: YYYY-MM-DD).</p> <p><br> ### profiles_annotations.csv<br> The manual profiles annotations. The file contains the following columns:</p> <p>#### FROM_USER_ID<br> The profile&#39;s id used by Twitter</p> <p>#### PROFILE_NATURE<br> &quot;**individual**&quot; if the profile is managed by a single person, else &quot;**non individual**&quot;.<br> The &quot;**non individual**&quot; label is itself divided in 3 subcategories:<br> &nbsp; - &quot;**political**&quot; for profiles of political parties or associations, and profiles representing groupes of militants.<br> &nbsp; - &quot;**media**&quot; for profiles of media outlets.<br> &nbsp; - &quot;**other**&quot; for profiles not included in the previous categories.</p> <p>#### PARTY<br> The profile&#39;s political affiliation(s), indicated as the shortcut for the political party:<br> &nbsp; - &quot;**fi**&quot;: France Insoumise (far-left)<br> &nbsp; - &quot;**ps**&quot;: Parti Socialiste (left)<br> &nbsp; - &quot;**em**&quot;: En Marche ! (center)<br> &nbsp; - &quot;**lr**&quot;: Les R&eacute;publicains (right)<br> &nbsp; - &quot;**fn**&quot;: Front National (far-right)<br> &nbsp; - **null**: no political affiliation</p> <p>When a profile has 2 affiliations, they are separated by a slash (ex: &quot;ps/fi&quot;).&nbsp;</p> <p>#### MEDIA_PROFESSIONAL<br> *For individual profiles only.*<br> Indicates if the profile&#39;s owner self-identify as a media professional (journalist, editorialist, ...)</p> <p>#### SEX<br> *For individual profiles only.*<br> Indicates the sex of the profile&#39;s owner:<br> &nbsp;- &quot;**m**&quot;: male<br> &nbsp;- &quot;**f**&quot;: female<br> &nbsp;- **null**: undetermined or other</p> <p><br> ### posts_ids_*<br> Files containing the tweets and retweets ids, divided according to the political affiliation of their authors for more flexibility.<br> &nbsp; - **posts_ids_fi.csv**: Tweet ids for profiles affiliated to France Insoumise (far-left)<br> &nbsp; - **posts_ids_ps.csv**: Tweet ids for profiles affiliated to Parti Socialiste (left)<br> &nbsp; - **posts_ids_em.csv**: Tweet ids for profiles affiliated to En Marche ! (center)<br> &nbsp; - **posts_ids_lr.csv**: Tweet ids for profiles affiliated to Les R&eacute;publicains (right)<br> &nbsp; - **posts_ids_fn.csv**: Tweet ids for profiles affiliated to Front National (far-right)<br> &nbsp; - **posts_ids_multi_affiliations.csv**: Tweet ids for profiles affiliated to more than one party<br> &nbsp; - **posts_ids_indetermined.csv**: Tweet ids for profiles not affiliated to any party</p> <p>Each file contains one tweet id per line.</p> <p><br> ### networks_*<br> Files containing the mention and retweet networks, in NCOL and GraphML format.</p> <p>The NCOL files contains the directed weighted edges between profiles, one per line, in the following format:<br> profile1_twitter_id profile2_twitter_id edge_weight</p> <p>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.</p> <p>&nbsp;</p> <p>## How to get tweets from ids<br> You can use various tools to help you get tweets from their ids, we suggest the following:<br> - DMI-TCAT: https://github.com/digitalmethodsinitiative/dmi-tcat<br> - Twarc: https://github.com/DocNow/twarc</p> <p>&nbsp;</p> <p>## How to cite this work<br> Fraisier Oph&eacute;lie, Cabanac Guillaume, Pitarch Yoann, Besan&ccedil;on Romaric, Boughanem Mohand. 2018. #&Eacute;lys&eacute;e2017fr: 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)</p></dct:description>
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87
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downloads
| All versions | This version | |
|---|---|---|
| Views | 87 | 87 |
| Downloads | 87 | 87 |
| Data volume | 3.3 GB | 3.3 GB |
| Unique views | 71 | 71 |
| Unique downloads | 18 | 18 |
Indexed in
- Publication date:
- June 24, 2018
- DOI:
-
- Keyword(s):
- presidential elections France Twitter
- Grants:
-
Agence Nationale de la Recherche:
- LiSTIC - Digital Ties and (mobile) Information and Communication Technologies (ANR-16-CE26-0014)
- Meeting:
- The International AAAI Conference on Weblogs and Social Media (AAAI ICWSM), Stanford, CA, USA, 25-28 June 2018
- Related identifiers:
- Supplement to
- https://aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/viewFile/17821/17042 (Conference paper)
- License (for files):
- Creative Commons Attribution 4.0 International