arXiv
Open Access
2023
A Twitter Dataset for Pakistani Political Discourse
Ehsan-Ul Haq
Haris Bin Zia
Reza Hadi Mogavi
Gareth Tyson
Yang K. Lu
+2 lainnya
Abstrak
We share the largest dataset for the Pakistani Twittersphere consisting of over 49 million tweets, collected during one of the most politically active periods in the country. We collect the data after the deposition of the government by a No Confidence Vote in April 2022. This large-scale dataset can be used for several downstream tasks such as political bias, bots detection, trolling behavior, (dis)misinformation, and censorship related to Pakistani Twitter users. In addition, this dataset provides a large collection of tweets in Urdu and Roman Urdu that can be used for optimizing language processing tasks.
Topik & Kata Kunci
Penulis (7)
E
Ehsan-Ul Haq
H
Haris Bin Zia
R
Reza Hadi Mogavi
G
Gareth Tyson
Y
Yang K. Lu
T
Tristan Braud
P
Pan Hui
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓