View Proposal

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Proposer

Simona Frenda

Title

Hate Crime: From Social Media to real life

Goal

Creation of analysis methods to identify the connection between online hate speech/disinformation and hate crimes.

Description

Social media misbehaviour translates into real-life behaviours affecting users' lives. A highly challenging task is linking hate speech and disinformation to hate crimes. Its difficulty is due to how hate crimes are reported and the limited traceability of prior offences. The analysis of datasets about crimes, trials and social media activity can identify unreported offences and unseen consequential patterns to better understand the origins of hateful behaviours towards individuals or communities. Moreover, the longitudinal and census data could further reveal the unforeseen impacts on society of specific events. The findings would help to define tailored solutions to effectively identify the sources of hate and provide insights on how to mitigate hate, especially among young people, and contribute to preventing hate crimes.

Resources

Resources could involve: 1) public released social media or news datasets 2) public released resources from the UK Data Service or other public services (surveys, census). https://datacatalogue.ukdataservice.ac.uk/ https://www.equalityhumanrights.com/human-rights/human-rights-tracker/hate-crime-and-hate-speech-uk-government-action https://fra.europa.eu/en/content/eu-gender-based-violence-survey

Background

- Written evidence submitted by the Social Data Science Lab, Cardiff University: https://committees.parliament.uk/writtenevidence/70132/html/ - Peršak N. Criminalising Hate Crime and Hate Speech at EU Level: Extending the List of Eurocrimes Under Article 83(1) TFEU. Crim Law Forum. 2022;33(2):85-119. doi: 10.1007/s10609-022-09440-w. Epub 2022 May 10. PMID: 35573748; PMCID: PMC9086657. - Williams, M. L. and Burnap, P. 2016. Cyberhate on social media in the aftermath of Woolwich: a case study in computational criminology and big data. British Journal of Criminology 56 (2), pp.211-238. (10.1093/bjc/azv059)

Url

Difficulty Level

Easy

Ethical Approval

None

Number Of Students

0

Supervisor

Simona Frenda

Keywords

hate crime, hate speech

Degrees

Master of Science in Data Science
Bachelor of Science in Statistical Data Science
BSc Data Sciences