Dataset: How Different Genders Use Profanity on Twitter?

File 01 - a summary table of keywords used to crawled those tweets in File 02
In this file, we summaries the keywords that used to obtain the 102464 tweets that we refer to the first study from this article- https://dl.acm.org/doi/abs/10.1145/3193077.3193078

File 02 - All the Original tweets that were collected using the keywords from File 01
File 03 - All the processed tweets categories by location
File 04 - All the Public and Targeted Male and Female set of Tweets

For File 01, the method to obtain the set of keywords is descript in this article
https://dl.acm.org/doi/abs/10.1145/3193077.3193078
Phoey Lee Teh, Chi-Bin Cheng, and Weng Mun Chee. 2018. Identifying and Categorising Profane Words in Hate Speech. In Proceedings of the 2nd International Conference on Compute and Data Analysis (ICCDA 2018). Association for Computing Machinery, New York, NY, USA, 65–69. DOI:https://doi.org/10.1145/3193077.3193078

For File 04, the result is published in this article, kindly refer
https://dl.acm.org/doi/abs/10.1145/3388142.3388145
Phoey Lee Teh, Chi-Bin Cheng, and Weng Mun Chee. 2018. Identifying and Categorising Profane Words in Hate Speech. In Proceedings of the 2nd International Conference on Compute and Data Analysis (ICCDA 2018). Association for Computing Machinery, New York, NY, USA, 65–69. DOI:https://doi.org/10.1145/3193077.3193078