Dataset Open Access
Fraisier;
Cabanac;
Pitarch;
Besançon;
Boughanem
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">presidential elections</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">France</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Twitter</subfield> </datafield> <controlfield tag="005">20210929134836.0</controlfield> <datafield tag="500" ind1=" " ind2=" "> <subfield code="a">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.</subfield> </datafield> <controlfield tag="001">5535333</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="d">25-28 June 2018</subfield> <subfield code="g">AAAI ICWSM</subfield> <subfield code="a">The International AAAI Conference on Weblogs and Social Media</subfield> <subfield code="c">Stanford, CA, USA</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Guillaume</subfield> <subfield code="0">(orcid)0000-0003-3060-6241</subfield> <subfield code="a">Cabanac</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Yoann</subfield> <subfield code="0">(orcid)0000-0002-1508-5436</subfield> <subfield code="a">Pitarch</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Romaric</subfield> <subfield code="0">(orcid)0000-0003-1331-5768</subfield> <subfield code="a">Besançon</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Mohand</subfield> <subfield code="0">(orcid)0000-0001-7004-0807</subfield> <subfield code="a">Boughanem</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">5812</subfield> <subfield code="z">md5:dbd2fe12cfd0f132fad31da32f2dcb90</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/keywords.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">176723019</subfield> <subfield code="z">md5:0a010c79f3ca8c879336e2bc714cfcbe</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/networks_mention.graphml</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">50365654</subfield> <subfield code="z">md5:b9e88689d66553da2500e3d1d938a952</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/networks_mention.ncol</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">125695776</subfield> <subfield code="z">md5:177bd8cec4a06e39b2228c09a69bce2f</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/networks_retweet.graphml</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">35261631</subfield> <subfield code="z">md5:0acd39f9b7699576e273398c51735a02</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/networks_retweet.ncol</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">28903240</subfield> <subfield code="z">md5:3e72f38634b3d7609fee847b2963daf6</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/posts_ids_em.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">41658355</subfield> <subfield code="z">md5:4b0a85288ceaafc8cc7144d9ebf63078</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/posts_ids_fi.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">35261685</subfield> <subfield code="z">md5:4835693a33b903ca4f10ee99906e3057</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/posts_ids_fn.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">16256780</subfield> <subfield code="z">md5:4bd4cb0bf871264a47239668db12a6bd</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/posts_ids_indetermined.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">50941964</subfield> <subfield code="z">md5:925ac0b68b5fa6d8216f1b020be898a5</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/posts_ids_lr.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">7148883</subfield> <subfield code="z">md5:3b3bf4a5dfe68c3c199ca9b2f0bccc4c</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/posts_ids_multi_affiliations.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">13220884</subfield> <subfield code="z">md5:f7b7c481f824e8f943b29eb2b9ae3103</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/posts_ids_ps.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">865175</subfield> <subfield code="z">md5:f27610a391f89944a90114f503a50169</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/profiles_annotations.csv</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">3604</subfield> <subfield code="z">md5:ad4686ae5b1e51a7ad01ebbfb0c3a309</subfield> <subfield code="u">https://zenodo.org/record/5535333/files/README.md</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="y">Conference website</subfield> <subfield code="u">https://icwsm.org/2018/</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2018-06-24</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="o">oai:zenodo.org:5535333</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Ophélie</subfield> <subfield code="0">(orcid)0000-0003-2974-5308</subfield> <subfield code="a">Fraisier</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">#Élysée2017fr: The 2017 French Presidential Campaign on Twitter</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">ANR-16-CE26-0014</subfield> <subfield code="a">Digital Ties and (mobile) Information and Communication Technologies</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><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></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">url</subfield> <subfield code="i">isSupplementTo</subfield> <subfield code="a">https://aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/viewFile/17821/17042</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.5535332</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.5535333</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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 |