4439509
doi
10.5281/zenodo.4439509
oai:zenodo.org:4439509
Overdorf, Rebekah
EPFL
Aberer, Karl
EPFL
A Dataset of State-Censored Tweets
Elmas, Tuğrulcan
EPFL
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
twitter, social media, censorship
<p>This is the dataset associated with the paper of the same name. You can find it here: <a href="https://arxiv.org/abs/2101.05919">https://arxiv.org/abs/2101.05919</a></p>
<p><br>
<strong>Files:</strong></p>
<ul>
<li>tweets.csv : All 583k censored tweets</li>
<li>tweets_debiased.csv : Debiased sample of tweets (Section 6.1)</li>
<li>all_users.csv : All users who are censored once at least once</li>
<li>users.csv : All 4301 users whose entire profile is censored</li>
<li>users_inferred.csv : 1931 extra users inferred to be the censored by the procedure described in Section 3.3</li>
<li>supplement.csv : The supplementary tweet data. (Section 3.5)</li>
</ul>
<p>Please refer to this Github repo for the detailed documentation and the code for reproduction.</p>
<p><a href="https://github.com/tugrulz/CensoredTweets">https://github.com/tugrulz/CensoredTweets</a></p>
Zenodo
2021-01-14
info:eu-repo/semantics/other
4435113
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