Cyber Security and Online Safety Education for Schools in the UK: Looking through the Lens of Twitter Data

Author:

Knott Jamie1ORCID,Yuan Haiyue1ORCID,Boakes Matthew1ORCID,Li Shujun1ORCID

Affiliation:

1. School of Computing, University of Kent, Institute of Cyber Security for Society, Canterbury, Kent, United Kingdom

Publisher

ACM

Reference15 articles.

1. Apoorv Agarwal , Boyi Xie , Ilia Vovsha , Owen Rambow , and Rebecca J. Passonneau . 2011. Sentiment Analysis of Twitter Data . In Proc. LSM 2011 . ACL, 30--38. https://aclanthology.org/W11-0705.pdf Apoorv Agarwal, Boyi Xie, Ilia Vovsha, Owen Rambow, and Rebecca J. Passonneau. 2011. Sentiment Analysis of Twitter Data. In Proc. LSM 2011. ACL, 30--38. https://aclanthology.org/W11-0705.pdf

2. Steven Bird , Ewan Klein , and Edward Loper . 2009. Natural language processing with Python: analyzing text with the natural language toolkit . O'Reilly Media, Inc. Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural language processing with Python: analyzing text with the natural language toolkit. O'Reilly Media, Inc.

3. DCMS. 2022. Mapping informal cyber security initiatives for young people aged 5-19 --- gov.uk. Technical Report. https://www.gov.uk/government/publications/mapping-informal-cyber-security-initiatives-for-young-people-aged-5-19/mapping-informal-cyber-security-initiatives-for-young-people-aged-5-19 [Accessed 16-Aug-2022]. DCMS. 2022. Mapping informal cyber security initiatives for young people aged 5-19 --- gov.uk. Technical Report. https://www.gov.uk/government/publications/mapping-informal-cyber-security-initiatives-for-young-people-aged-5-19/mapping-informal-cyber-security-initiatives-for-young-people-aged-5-19 [Accessed 16-Aug-2022].

4. JustAnotherArchivist. 2022. A social networking service scraper in Python. https://github.com/JustAnotherArchivist/snscrape [Accessed 10-Aug-2022]. JustAnotherArchivist. 2022. A social networking service scraper in Python. https://github.com/JustAnotherArchivist/snscrape [Accessed 10-Aug-2022].

5. Twitter Sentiment Analysis: The Good the Bad and the OMG!

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