Dataset Open Access

Detecting weak and strong Islamophobic hate speech on social media

Dr Bertie Vidgen; Dr Taha Yasseri

Data, code and annotation guidelines for our publication, 'Detecting weak and strong Islamophobic hate speech on social media' (2019).

Files (299.8 MB)
Name Size
45 far right seed accounts.csv
md5:188c8f0c49067396db22cbf4a8dcb688
1.1 kB Download
Online_supplement_1 code_1 cleanTweets.R
md5:6472cfad1f5b7e67a7bc8b60d1b3720c
9.2 kB Download
Online_supplement_1 code_2 applywordVecs.R
md5:8c688ccdb634f990c7a6dd6379f7f3c3
4.2 kB Download
Online_supplement_1 code_3 extractInputFeatures.R
md5:a92c7055fa0db9e5baa954eb890ab6d4
6.4 kB Download
Online_supplement_1 code_4 createClassifier.R
md5:c9618b5e4de46273e29c6daf4a17872e
6.0 kB Download
Online_supplement_1 code_5 visualizeResults.R
md5:083b3b9b47f9289083038cad28d1621f
3.1 kB Download
Online_supplement_1 Islamophobia annotation guidelines.docx
md5:4e1354f0cc3fe543b2ffc4cf8cd5fea2
32.6 kB Download
Online_supplement_1 word vectors.RData
md5:393cd5dbf1436ee5acb97b2e1d410dcb
299.8 MB Download
Wiki Mosques.txt
md5:34ed97c551e417132dbab4c8cb7bc6a0
744 Bytes Download
369
517
views
downloads
All versions This version
Views 369369
Downloads 517517
Data volume 10.5 GB10.5 GB
Unique views 329329
Unique downloads 291291

Share

Cite as