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Leonardo Castro-Gonzalez

3 papers hereh-index 14 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.SI1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedUnderstanding the illicit drug distribution in England: a data-centric approach to the County Lines Model

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SI2024

Who is driving the conversation? Analysing the nodality of British MPs and journalists on social media

Sukankana Chakraborty, Leonardo Castro-Gonzalez, Helen Margetts +3

With the rise of social media, political conversations now take place in more diffuse environments. In this context, it is not always clear why some actors, more than others, have…

cs.CL2024

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data

Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk +4

The field of machine learning has recently made significant progress in reducing the requirements for labelled training data when building new models. These `cheaper' learning tech…

stat.AP2022★ 2 cited

Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model

Leonardo Castro-Gonzalez

The County Lines Model (CLM) is a relatively new illicit drugs distribution method found in Great Britain. The CLM has brought modern slavery and public health issues, while challe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.