An Explainable Genetic Programming Approach to Safely Predict Cyberbullying Occurrence in Ireland
Created by W.Langdon from
gp-bibliography.bib Revision:1.8311
- @InProceedings{Murphy:2024:AICS,
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author = "Aidan Murphy and Mahsa Mahdinejad and
Syed Saeed Ahmad and Joe Kenny and Anthony Ventresque",
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title = "An Explainable Genetic Programming Approach to Safely
Predict Cyberbullying Occurrence in Ireland",
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booktitle = "32nd Irish Conference on Artificial Intelligence and
Cognitive Science, AICS 2024",
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year = "2024",
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editor = "Arjun Pakrashi and Ellen Rushe and
Brian {Mac Namee} and Rob Brennan and Beyza Yaman",
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volume = "3910",
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address = "Dublin, Ireland",
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month = "9-10 " # dec,
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publisher = "CEUR",
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keywords = "genetic algorithms, genetic programming,
Cyberbullying, XAI, Fuzzy Logic, Fuzzy Pattern Trees,
FPT",
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ISSN = "1613-0073",
-
URL = "
https://ceur-ws.org/Vol-3910/",
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URL = "
https://ceur-ws.org/Vol-3910/aics2024_p58.pdf",
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size = "11 pages",
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abstract = "Cyberbullying is a growing problem in Ireland, with
reported rates of occurrence growing every year for
both primary and secondary school students. We have
collected survey data from primary school children
across the country and asked them their beliefs about
internet safety, their opinion of their own knowledge
of the internet, as well as their actions online. This
survey data, collected over 9 years, represents by far
the largest dataset on cyberbullying ever collected and
analysed in Ireland. We use this dataset to build an
explainable machine learning classifier called a Fuzzy
Pattern Tree. Fuzzy Pattern Tree classifiers achieve
close to state-of-the-art results, attaining mean test
accuracy of 84.3%, while allowing their internal
workings to be examined. Examining the logic of the
models ensures both their safe deployment and allows
for effective interventions and corrections in
behaviour to help children avoid experiencing
cyberbullying. Our models show that increased awareness
from parents about the apps their children use, as well
as their social media activity are important to avoid
cyberbullying. The Fuzzy Pattern Tree models also point
towards smartphone usage as a major risk factor for
cyberbullying.",
-
notes = "https://aics2024.ucd.ie/programme.html
urn:nbn:de:0074-3910-X
Lero, the Science Foundation Ireland Research Centre
for Software, Limerick, Ireland",
- }
Genetic Programming entries for
Aidan Murphy
Mahsa Mahdinejad
Syed Saeed Ahmad
Joe Kenny
Anthony Ventresque
Citations