An Evolutionary Computation Approach for Twitter Bot Detection
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- @Article{rovito:2022:AS,
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author = "Luigi Rovito and Lorenzo Bonin and Luca Manzoni and
Andrea {De Lorenzo}",
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title = "An Evolutionary Computation Approach for Twitter Bot
Detection",
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journal = "Applied Sciences",
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year = "2022",
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volume = "12",
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number = "12",
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pages = "Article No. 5915",
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note = "Special Issue Genetic Programming, Theory, Methods and
Applications",
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keywords = "genetic algorithms, genetic programming, X",
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ISSN = "2076-3417",
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URL = "https://www.mdpi.com/2076-3417/12/12/5915",
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DOI = "doi:10.3390/app12125915",
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abstract = "Bot accounts are automated software programs that act
as legitimate human profiles on social networks.
Identifying these kinds of accounts is a challenging
problem due to the high variety and heterogeneity that
bot accounts exhibit. In this work, we use genetic
algorithms and genetic programming to discover
interpretable classification models for Twitter bot
detection with competitive qualitative performance,
high scalability, and good generalisation capabilities.
Specifically, we use a genetic programming method with
a set of primitives that involves simple mathematical
operators. This enables us to discover a human-readable
detection algorithm that exhibits a detection accuracy
close to the top state-of-the-art methods on the
TwiBot-20 dataset while providing predictions that can
be interpreted, and whose uncertainty can be easily
measured. To the best of our knowledge, this work is
the first attempt at adopting evolutionary computation
techniques for detecting bot profiles on social media
platforms.",
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notes = "also known as \cite{app12125915}",
- }
Genetic Programming entries for
Luigi Rovito
Lorenzo Bonin
Luca Manzoni
Andrea De Lorenzo
Citations