Dataset Open Access

#Élysée2017fr: The 2017 French Presidential Campaign on Twitter

Fraisier; Cabanac; Pitarch; Besançon; Boughanem


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{
  "description": "<p># README</p>\n\n<p>This archive contains the #&Eacute;lys&eacute;e2017fr dataset.</p>\n\n<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>\n\n<p><br>\n## Content</p>\n\n<p>### keywords.csv<br>\nThe keywords used to collect the initial dataset, each presented with the start and stop dates of use (date format: YYYY-MM-DD).</p>\n\n<p><br>\n### profiles_annotations.csv<br>\nThe manual profiles annotations. The file contains the following columns:</p>\n\n<p>#### FROM_USER_ID<br>\nThe profile&#39;s id used by Twitter</p>\n\n<p>#### PROFILE_NATURE<br>\n&quot;**individual**&quot; if the profile is managed by a single person, else &quot;**non individual**&quot;.<br>\nThe &quot;**non individual**&quot; label is itself divided in 3 subcategories:<br>\n&nbsp; - &quot;**political**&quot; for profiles of political parties or associations, and profiles representing groupes of militants.<br>\n&nbsp; - &quot;**media**&quot; for profiles of media outlets.<br>\n&nbsp; - &quot;**other**&quot; for profiles not included in the previous categories.</p>\n\n<p>#### PARTY<br>\nThe profile&#39;s political affiliation(s), indicated as the shortcut for the political party:<br>\n&nbsp; - &quot;**fi**&quot;: France Insoumise (far-left)<br>\n&nbsp; - &quot;**ps**&quot;: Parti Socialiste (left)<br>\n&nbsp; - &quot;**em**&quot;: En Marche ! (center)<br>\n&nbsp; - &quot;**lr**&quot;: Les R&eacute;publicains (right)<br>\n&nbsp; - &quot;**fn**&quot;: Front National (far-right)<br>\n&nbsp; - **null**: no political affiliation</p>\n\n<p>When a profile has 2 affiliations, they are separated by a slash (ex: &quot;ps/fi&quot;).&nbsp;</p>\n\n<p>#### MEDIA_PROFESSIONAL<br>\n*For individual profiles only.*<br>\nIndicates if the profile&#39;s owner self-identify as a media professional (journalist, editorialist, ...)</p>\n\n<p>#### SEX<br>\n*For individual profiles only.*<br>\nIndicates the sex of the profile&#39;s owner:<br>\n&nbsp;- &quot;**m**&quot;: male<br>\n&nbsp;- &quot;**f**&quot;: female<br>\n&nbsp;- **null**: undetermined or other</p>\n\n<p><br>\n### posts_ids_*<br>\nFiles containing the tweets and retweets ids, divided according to the political affiliation of their authors for more flexibility.<br>\n&nbsp; - **posts_ids_fi.csv**: Tweet ids for profiles affiliated to France Insoumise (far-left)<br>\n&nbsp; - **posts_ids_ps.csv**: Tweet ids for profiles affiliated to Parti Socialiste (left)<br>\n&nbsp; - **posts_ids_em.csv**: Tweet ids for profiles affiliated to En Marche ! (center)<br>\n&nbsp; - **posts_ids_lr.csv**: Tweet ids for profiles affiliated to Les R&eacute;publicains (right)<br>\n&nbsp; - **posts_ids_fn.csv**: Tweet ids for profiles affiliated to Front National (far-right)<br>\n&nbsp; - **posts_ids_multi_affiliations.csv**: Tweet ids for profiles affiliated to more than one party<br>\n&nbsp; - **posts_ids_indetermined.csv**: Tweet ids for profiles not affiliated to any party</p>\n\n<p>Each file contains one tweet id per line.</p>\n\n<p><br>\n### networks_*<br>\nFiles containing the mention and retweet networks, in NCOL and GraphML format.</p>\n\n<p>The NCOL files contains the directed weighted edges between profiles, one per line, in the following format:<br>\nprofile1_twitter_id profile2_twitter_id edge_weight</p>\n\n<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>\n\n<p>&nbsp;</p>\n\n<p>## How to get tweets from ids<br>\nYou can use various tools to help you get tweets from their ids, we suggest the following:<br>\n- DMI-TCAT: https://github.com/digitalmethodsinitiative/dmi-tcat<br>\n- Twarc: https://github.com/DocNow/twarc</p>\n\n<p>&nbsp;</p>\n\n<p>## How to cite this work<br>\nFraisier 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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Oph\u00e9lie", 
      "@id": "https://orcid.org/0000-0003-2974-5308", 
      "@type": "Person", 
      "name": "Fraisier"
    }, 
    {
      "affiliation": "Guillaume", 
      "@id": "https://orcid.org/0000-0003-3060-6241", 
      "@type": "Person", 
      "name": "Cabanac"
    }, 
    {
      "affiliation": "Yoann", 
      "@id": "https://orcid.org/0000-0002-1508-5436", 
      "@type": "Person", 
      "name": "Pitarch"
    }, 
    {
      "affiliation": "Romaric", 
      "@id": "https://orcid.org/0000-0003-1331-5768", 
      "@type": "Person", 
      "name": "Besan\u00e7on"
    }, 
    {
      "affiliation": "Mohand", 
      "@id": "https://orcid.org/0000-0001-7004-0807", 
      "@type": "Person", 
      "name": "Boughanem"
    }
  ], 
  "url": "https://zenodo.org/record/5535333", 
  "datePublished": "2018-06-24", 
  "@type": "Dataset", 
  "keywords": [
    "presidential elections", 
    "France", 
    "Twitter"
  ], 
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  "identifier": "https://doi.org/10.5281/zenodo.5535333", 
  "@id": "https://doi.org/10.5281/zenodo.5535333", 
  "workFeatured": {
    "url": "https://icwsm.org/2018/", 
    "alternateName": "AAAI ICWSM", 
    "location": "Stanford, CA, USA", 
    "@type": "Event", 
    "name": "The International AAAI Conference on Weblogs and Social Media"
  }, 
  "name": "#\u00c9lys\u00e9e2017fr: The 2017 French Presidential Campaign on Twitter"
}
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