Detecting Fake People in Historical Records

Abstract Data quality is a key input in efforts to link individuals across census records. We examine the extreme case of low data quality by identifying US census enumerators who fabricated entire families. We provide clear evidence of fake people included in the 1920 US Census for Homestead, Pennsylvania. We use the features of this case study to identify other places where information in the census may have been falsified. We develop an automated approach that identifies census sheets that have much lower match rates to other census records than would be expected, given the characteristics of the people recorded on each sheet. We perform a hand-check on the suspicious sheets using standard genealogy tools and identify at least 90 sheets where the entire census sheet appears to have been fabricated.

Institutions

Publication Details

Journal
Social Science History
Published
2025-12-17
DOI
https://doi.org/10.1017/ssh.2025.10115
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detecting Fake People in Historical Records

Social Science History
Data Quality and Management
article

Detecting Fake People in Historical Records

article en

Abstract

Abstract Data quality is a key input in efforts to link individuals across census records. We examine the extreme case of low data quality by identifying US census enumerators who fabricated entire families. We provide clear evidence of fake people included in the 1920 US Census for Homestead, Pennsylvania. We use the features of this case study to identify other places where information in the census may have been falsified. We develop an automated approach that identifies census sheets that have much lower match rates to other census records than would be expected, given the characteristics of the people recorded on each sheet. We perform a hand-check on the suspicious sheets using standard genealogy tools and identify at least 90 sheets where the entire census sheet appears to have been fabricated.

Social Science History
Brigham Young University (US), Mitchell Institute (US), University of Chicago (US), Chilworth Technology (United Kingdom) (GB), Texas A&M University (US)
Openalex Percentile: Top 31%
Data Quality and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Detecting Fake People in Historical Records · Social Science History (2025) | TGRS Research Map | TGRS