Dataset Open Access
Fraisier;
Cabanac;
Pitarch;
Besançon;
Boughanem
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"access_right_category": "success", "doi": "10.5281/zenodo.5535333", "description": "<p># README</p>\n\n<p>This archive contains the #Élysée2017fr 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's id used by Twitter</p>\n\n<p>#### PROFILE_NATURE<br>\n"**individual**" if the profile is managed by a single person, else "**non individual**".<br>\nThe "**non individual**" label is itself divided in 3 subcategories:<br>\n - "**political**" for profiles of political parties or associations, and profiles representing groupes of militants.<br>\n - "**media**" for profiles of media outlets.<br>\n - "**other**" for profiles not included in the previous categories.</p>\n\n<p>#### PARTY<br>\nThe profile's political affiliation(s), indicated as the shortcut for the political party:<br>\n - "**fi**": France Insoumise (far-left)<br>\n - "**ps**": Parti Socialiste (left)<br>\n - "**em**": En Marche ! (center)<br>\n - "**lr**": Les Républicains (right)<br>\n - "**fn**": Front National (far-right)<br>\n - **null**: no political affiliation</p>\n\n<p>When a profile has 2 affiliations, they are separated by a slash (ex: "ps/fi"). </p>\n\n<p>#### MEDIA_PROFESSIONAL<br>\n*For individual profiles only.*<br>\nIndicates if the profile'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's owner:<br>\n - "**m**": male<br>\n - "**f**": female<br>\n - **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 - **posts_ids_fi.csv**: Tweet ids for profiles affiliated to France Insoumise (far-left)<br>\n - **posts_ids_ps.csv**: Tweet ids for profiles affiliated to Parti Socialiste (left)<br>\n - **posts_ids_em.csv**: Tweet ids for profiles affiliated to En Marche ! (center)<br>\n - **posts_ids_lr.csv**: Tweet ids for profiles affiliated to Les Républicains (right)<br>\n - **posts_ids_fn.csv**: Tweet ids for profiles affiliated to Front National (far-right)<br>\n - **posts_ids_multi_affiliations.csv**: Tweet ids for profiles affiliated to more than one party<br>\n - **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> </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> </p>\n\n<p>## How to cite this work<br>\nFraisier 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)</p>", "license": { "id": "CC-BY-4.0" }, "title": "#\u00c9lys\u00e9e2017fr: The 2017 French Presidential Campaign on Twitter", "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.", "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "5535332" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "5535333" } } ] }, "grants": [ { "code": "ANR-16-CE26-0014", "links": { "self": "https://zenodo.org/api/grants/10.13039/501100001665::ANR-16-CE26-0014" }, "title": "Digital Ties and (mobile) Information and Communication Technologies", "acronym": "LiSTIC", "program": "", "funder": { "doi": "10.13039/501100001665", "acronyms": [ "Not Available" ], "name": "Agence Nationale de la Recherche", "links": { "self": "https://zenodo.org/api/funders/10.13039/501100001665" } } } ], "keywords": [ "presidential elections", "France", "Twitter" ], "publication_date": "2018-06-24", "creators": [ { "orcid": "0000-0003-2974-5308", "affiliation": "Oph\u00e9lie", "name": "Fraisier" }, { "orcid": "0000-0003-3060-6241", "affiliation": "Guillaume", "name": "Cabanac" }, { "orcid": "0000-0002-1508-5436", "affiliation": "Yoann", "name": "Pitarch" }, { "orcid": "0000-0003-1331-5768", "affiliation": "Romaric", "name": "Besan\u00e7on" }, { "orcid": "0000-0001-7004-0807", "affiliation": "Mohand", "name": "Boughanem" } ], "meeting": { "acronym": "AAAI ICWSM", "url": "https://icwsm.org/2018/", "dates": "25-28 June 2018", "place": "Stanford, CA, USA", "title": "The International AAAI Conference on Weblogs and Social Media" }, "access_right": "open", "resource_type": { "type": "dataset", "title": "Dataset" }, "related_identifiers": [ { "scheme": "url", "identifier": "https://aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/viewFile/17821/17042", "relation": "isSupplementTo", "resource_type": "publication-conferencepaper" }, { "scheme": "doi", "identifier": "10.5281/zenodo.5535332", "relation": "isVersionOf" } ] } }
All versions | This version | |
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Views | 87 | 87 |
Downloads | 87 | 87 |
Data volume | 3.3 GB | 3.3 GB |
Unique views | 71 | 71 |
Unique downloads | 18 | 18 |