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\section{Introduction}
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\label{sec:intro}
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\emph{Gender diversity}, or more often its lack thereof, among participants to
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software development activities has been thoroughly studied in recent years. In
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particular, the presence of, effects of, and countermeasures for \emph{gender
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bias} in Free/Open Source Software (FOSS) have received a lot of attention
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over the past decade~\cite{david2008fossdevs, qiu2010kdewomen,
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nafus2012patches, kuechler2012genderfoss, vasilescu2014gender,
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oneil2016debiansurvey, robles2016womeninfoss, terrell2017gender,
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zacchiroli2021gender}. \emph{Geographic diversity} is on the other hand the
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kind of diversity that stems from participants in some global activity coming
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from different world regions and cultures.
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Geographic diversity in FOSS has received relatively little attention in scholarly
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works. In particular, while seminal survey-based and
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point-in-time medium-scale studies of the geographic origins of FOSS
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contributors exist~\cite{ghosh2005understanding, david2008fossdevs,
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barahona2008geodiversity, takhteyev2010ossgeography, robles2014surveydataset,
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wachs2021ossgeography}, large-scale longitudinal studies of the geographic
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origin of FOSS contributors are still lacking. Such a quantitative
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characterization would be useful to inform decisions related to global
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development teams~\cite{herbsleb2007globalsweng} and hiring strategies in the
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information technology (IT) market, as well as contribute factual information
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to the debates on the economic impact and sociology of FOSS around the world.
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\paragraph{Contributions}
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With this work we contribute to close this gap by conducting \textbf{the first
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longitudinal study of the geographic origin of contributors to public code
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over 50 years.} Specifically, we provide a preliminary answer to the
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following research question:
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\begin{researchquestion}
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From which world regions do authors of publicly available commits come from
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and how has it changed over the past 50 years?
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\label{rq:geodiversity}
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\end{researchquestion}
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We use as dataset the \SWH/ archive~\cite{swhipres2017} and analyze from it
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2.2 billion\xspace commits archived from 160 million\xspace projects and authored by
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43 million\xspace authors during the 1971--2021 time period.
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We geolocate developers to
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\DATAWorldRegions/ world regions, using as signals email country code top-level domains (ccTLDs) and
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author (first/last) names compared with name distributions around the world, and UTC offsets
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mined from commit metadata.
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We find evidence of the early dominance of North America in open source
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software, later joined by Europe. After that period, the geographic diversity
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in public code has been constantly increasing.
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We also identify relevant historical shifts
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related to the end of the UNIX wars and the increase of coding literacy in
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Central and South Asia, as well as of broader phenomena like colonialism and
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people movement across countries (immigration/emigration).
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\paragraph{Data availability.}
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A replication package for this paper is available from Zenodo at
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\url{https://doi.org/10.5281/zenodo.6390355}~\cite{replication-package}.
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\section{Related Work}
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\label{sec:related}
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Both early and recent works~\cite{ghosh2005understanding, david2008fossdevs,
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robles2014surveydataset, oneil2016debiansurvey} have characterized the
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geography of Free/Open Source Software (FOSS) using \emph{developer surveys},
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which provide high-quality answers but are limited in size (2-5\,K developers)
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and can be biased by participant sampling.
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In 2008 Barahona et al.~\cite{barahona2008geodiversity} conducted a seminal
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large-scale (for the time) study on FOSS \emph{geography using mining software
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repositories (MSR) techniques}. They analyzed the origin of 1\,M contributors
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using the SourceForge user database and mailing list archives over the
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1999--2005 period, using as signals information similar to ours: email domains
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and UTC offsets.
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The studied period (7 years) in~\cite{barahona2008geodiversity} is shorter than
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what is studied in the present paper (50 years) and the data sources are
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largely different; with that in mind, our results show a slightly larger quote of
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European v.~North American contributions.
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Another empirical work from 2010 by Takhteyev and
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Hilts~\cite{takhteyev2010ossgeography} harvested self-declared geographic
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locations of GitHub accounts recursively following their connections,
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collecting information for $\approx$\,70\,K GitHub users. A very recent
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work~\cite{wachs2021ossgeography} by Wachs et al.~has geolocated half a million
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GitHub users, having contributed at least 100 commits each, and who
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self-declare locations on their GitHub profiles. While the study is
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point-in-time as of 2021, the authors compare their findings
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against~\cite{barahona2008geodiversity, takhteyev2010ossgeography} to
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characterize the evolution of FOSS geography over the time snapshots taken by
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the three studies.
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Compared with previous empirical works, our study is much larger scale---having
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analyzed 43 million\xspace authors of 2.2 billion\xspace commits from 160 million\xspace
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projects---longitudinal over 50 years of public code contributions rather than
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point in time, and also more fine-grained (with year-by-year granularity over
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the observed period). Methodologically, our study relies on Version Control
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