Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus

Devin Gaffney; J. Nathan Matias

doi:10.1371/journal.pone.0200162

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Open Access

Peer-reviewed

Research Article

Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus

Devin Gaffney ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: gaffney.d@husky.neu.edu

Affiliation Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America

http://orcid.org/0000-0002-9540-5814

⨯
J. Nathan Matias

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

Affiliation Princeton University, Princeton, New Jersey, United States of America
⨯

Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus

Devin Gaffney,
J. Nathan Matias

Published: July 6, 2018
https://doi.org/10.1371/journal.pone.0200162

About the Authors

Devin Gaffney

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: gaffney.d@husky.neu.edu

Affiliation Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America

http://orcid.org/0000-0002-9540-5814

J. Nathan Matias

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

Affiliation Princeton University, Princeton, New Jersey, United States of America

Competing Interests

The authors have declared that no competing interests exist.

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Behavior
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Computational sociology
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Medical risk factors
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Network analysis
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Mass media
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