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Demographic inference and representative population estimates from multilingual social media data

Abstract:

Social media provide access to behavioural data at an unprecedented scale and granularity. However, using these data to understand phenomena in a broader population is difficult due to their non-representativeness and the bias of statistical inference tools towards dominant languages and groups. While demographic attribute inference could be used to mitigate such bias, current techniques are almost entirely monolingual and fail to work in a global environment. We address these challenges b...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3308558.3313684

Authors


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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Oxford college:
Hertford College
Role:
Author
ORCID:
0000-0002-6894-4951
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Publisher:
Association for Computing Machinery Publisher's website
Journal:
WWW '19 The World Wide Web Conference Journal website
Pages:
2056-2067
Host title:
WWW '19 The World Wide Web Conference
Publication date:
2019-05-13
Acceptance date:
2019-01-21
DOI:
Source identifiers:
1003143
ISBN:
9781450366748
Keywords:
Pubs id:
pubs:1003143
UUID:
uuid:cce88786-ab37-4bf3-8e2e-3b91fa144518
Local pid:
pubs:1003143
Deposit date:
2019-06-05

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