iCSS maintains a set of datasets produced from our research, which are made accessible to other researchers to support reproducibility and to foster future research. Please follow the instructions of each dataset on how to access the dataset and how to cite it in your research paper.
Institute of Cyber Security for Society (iCSS)
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Datasets
Lead Researcher: Dr Harmonie Toros (School of Politics & International Relations)
Data Preparation: Caio Ribeiro (School of Computing)
These datasets were prepared as part of a research project lead by Dr Harmonie Toros, titled “Gendered Narrative Analysis of Violent Extremism in the United Kingdom”, funded by GCHQ’s Research Fellowship in National Resilience scheme. The project uses two case studies – the controversy surrounding the return to the UK of Shamima Begum from Iraq/Syria and the attack on two mosques in Christchurch, New Zealand – to investigate the gendered narratives regarding violent extremism in both mainstream and non-mainstream (extremist) online communities.
For this, we collected and prepared data from two mainstream sources, and one non-mainstream source. For the former, the dataset contains comment sections from articles published by The Independent and DailyMail, two UK newspapers. For the non-mainstream data, we collected data from the threads in the 4plebs archive of the /pol/ 4chan board, that had matches to keywords related to each case study and were posted within the designated timeline of the study. Detailed below is a brief description of the data collection process. Specific information about the dataset files, i.e. their dimensions, instances and attributes, can be requested.
For more information, visit the Kent Data Repository:
- Case 1 datasets (206MB): https://data.kent.ac.uk/id/eprint/407
- Case 2 datasets (40MB): https://data.kent.ac.uk/id/eprint/409