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How Biased is the Population of Facebook Users? Comparing the Demographics of Facebook Users with Census Data to Generate Correction Factors [article]

Filipe N. Ribeiro, Fabrício Benevenuto, Emilio Zagheni
2020 arXiv   pre-print
These data, when compared with official statistics, enable researchers to produce appropriate statistical correction factors.  ...  In this paper, we leverage the Facebook advertising platform to compile the equivalent of an aggregate-level census of Facebook users.  ...  In countries like the US, data collection through censuses is mandated by the Constitution. Censuses are necessary; however, the cost and time needed to run a census of the population are quite high.  ... 
arXiv:2005.08065v1 fatcat:tspeiqr5svha7jebexkdw72wo4

The relative incidence of COVID-19 in healthcare workers versus non-healthcare workers: evidence from a web-based survey of Facebook users in the United States

Abraham D. Flaxman, Daniel J. Henning, Herbert C. Duber
2020 Gates Open Research  
Methods: Analysis of cross-sectional data from a daily, web-based survey of 1,788,795 Facebook users from September 6, 2020 to October 18, 2020.  ...  Healthcare workers are at the forefront of the COVID-19 pandemic and it is essential to monitor the relative infection rate of this group, as compared to workers in other occupations.  ...  Facebook also provided survey weights to adjust for the demographics of the active Facebook user population 7,8 .  ... 
doi:10.12688/gatesopenres.13202.1 fatcat:akvaoflnhvcsvanh7rm7xq2ujq

The relative incidence of COVID-19 in healthcare workers versus non-healthcare workers: evidence from a web-based survey of Facebook users in the United States

Abraham D. Flaxman, Daniel J. Henning, Herbert C. Duber
2021 Gates Open Research  
Methods: Analysis of cross-sectional data from a daily, web-based survey of 1,822,662 Facebook users from September 8, 2020 to October 20, 2020.  ...  Healthcare workers are at the forefront of the COVID-19 pandemic and it is essential to monitor the relative incidence rate of this group, as compared to workers in other occupations.  ...  Results: The demographics for healthcare workers should be compared to national data about healthcare workers demographics. This data can be obtained from the CPS or census.  ... 
doi:10.12688/gatesopenres.13202.2 fatcat:vs2flr62xfcxrpbpo47sw2tzbu

A Typology of Perceived Triggers for End-User Security and Privacy Behaviors

Sauvik Das, Laura A. Dabbish, Jason I. Hong
2019 Symposium On Usable Privacy and Security  
What triggers end-user security and privacy (S&P) behaviors? How do those triggers vary across individuals? When and how do people share their S&P behavior changes?  ...  Most importantly, people with low-to-medium SBI most commonly reported social triggers.  ...  Tiffany Hyun-Jin Kim made important contributions to this work, particularly in helping design the survey.  ... 
dblp:conf/soups/DasDH19 fatcat:x47u7roiana3hkttzvixpowgmy

Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior

Alicia DeVos, Aditi Dhabalia, Hong Shen, Kenneth Holstein, Motahhare Eslami
2022 CHI Conference on Human Factors in Computing Systems  
However, it is not well understood how users are often able to be so effective, nor how we might support more effective user-driven auditing.  ...  We find that 1) users' search strategies and interpretations are heavily guided by their personal experiences with and exposures to societal bias; and 2) collective sensemaking amongst multiple users is  ...  ACKNOWLEDGMENTS This work was supported by the National Science Foundation (NSF) program on Fairness in AI in collaboration with Amazon under Award No.  ... 
doi:10.1145/3491102.3517441 fatcat:obypclcgqzfwjjnst5rwgs24z4

Global Monitoring of the Impact of COVID-19 Pandemic through Online Surveys Sampled from the Facebook User Base [article]

Christina M Astley, Gaurav Tuli, Kimberly A Mc Cord - De Iaco, Emily L Cohn, Benjamin Rader, Samantha Chiu, Xiaoyi Deng, Kathleen Stewart, Tamer H Farag, Kristina M Barkume, Sarah LaRocca, Katherine A Morris (+2 others)
2021 medRxiv   pre-print
The University of Maryland Global COVID Trends and Impact Survey (UMD-CTIS), in partnership with Facebook, invites daily cross-sectional samples from the social media platform's active users to participate  ...  Simultaneously tracking the global COVID-19 impact across multiple populations is challenging due to regional variation in resources and reporting.  ...  The authors would like to acknowledge the programmatic support of Kara Sewalk and Aimee Han for this research.  ... 
doi:10.1101/2021.07.05.21259989 fatcat:l6qmnveeencyzgctzodfp2kop4

Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide [article]

Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, Ingmar Weber
2020 arXiv   pre-print
In this study, we examine the usefulness of the Facebook Advertising platform, which offers a digital "census" of over two billions of its users, in measuring potential rural-urban inequalities.  ...  However, it is increasingly challenging to track important statistics concerning this sparse, geographically dispersed population, resulting in a lack of reliable, up-to-date data.  ...  ACKNOWLEDGMENTS We gratefully acknowledge the support from the Lagrange Project of the ISI Foundation funded by the CRT Foundation.  ... 
arXiv:2002.11645v1 fatcat:wa75csw4sbg6bbz2axwh27yzbm

Correcting Sociodemographic Selection Biases for Population Prediction from Social Media [article]

Salvatore Giorgi, Veronica Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle Ungar, H. Andrew Schwartz
2022 arXiv   pre-print
Within the social sciences, such a bias is typically addressed with restratification techniques, where observations are reweighted according to how under- or over-sampled their socio-demographic groups  ...  However, social media users are not typically a representative sample of the intended population -- a "selection bias".  ...  users in county i, ψi (d) is the correction weight of the demographic set d, and r j (x j ) is the relative frequency of the unigram x j for user j.  ... 
arXiv:1911.03855v4 fatcat:kaixdov77zelrblsfpwxc7swxa

What's the Gist? Privacy-Preserving Aggregation of User Profiles [article]

Igor Bilogrevic, Julien Freudiger, Emiliano De Cristofaro, Ersin Uzun
2014 arXiv   pre-print
Census Bureau and show that (i) it provides accurate aggregates with as little as 100 users, (ii) it generates revenue for both users and data brokers, and (iii) its overhead is appreciably low.  ...  Over the past few years, online service providers have started gathering increasing amounts of personal information to build user profiles and monetize them with advertisers and data brokers.  ...  user participation from "biased" demographics (e.g., similar to Amazon Mechanical Turk).  ... 
arXiv:1405.1328v2 fatcat:b2eiliaw3rbttbrba72zk2htzu

What's the Gist? Privacy-Preserving Aggregation of User Profiles [chapter]

Igor Bilogrevic, Julien Freudiger, Emiliano De Cristofaro, Ersin Uzun
2014 Lecture Notes in Computer Science  
This paper explores an alternative approach where users only disclose an aggregate model -the "gist" -of their data. The goal is to preserve data utility and simultaneously provide user privacy.  ...  Online service providers gather increasingly large amounts of personal data into user profiles and monetize them with advertisers and data brokers.  ...  Our solution tackles trust and incentive challenges: rather than selling data as-is, users trade a model of their data.  ... 
doi:10.1007/978-3-319-11212-1_8 fatcat:leheihatwbfxho44cjymgyunkq

The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union [article]

Umberto Minora, Claudio Bosco, Stefano Iacus, Sara Grubanov-Boskovic, Francesco Sermi, Spyridon Spyratos
2022 arXiv   pre-print
At the fifth week since the beginning of the war, our results indicate an increase in the number of Ukrainian-speaking Facebook users in all the EU countries, with Poland registering the highest percentage  ...  This work contributes to the discussion on how innovative data can support a fast crisis response.  ...  It is important to highlight that Facebook estimates are not designed to match population, census estimates, or other sources [7] , and may differ depending on factors such as: • how many Facebook apps  ... 
arXiv:2206.12352v2 fatcat:5gdvne2hmng5dkj4rxhda4nlmu

Analyzing gender inequality through large-scale Facebook advertising data

David Garcia, Yonas Mitike Kassa, Angel Cuevas, Manuel Cebrian, Esteban Moro, Iyad Rahwan, Ruben Cuevas
2018 Proceedings of the National Academy of Sciences of the United States of America  
Here we show how the Facebook Gender Divide (FGD), a metric based on aggregated statistics of more than 1.4 Billion users in 217 countries, explains various aspects of worldwide gender inequality.  ...  Understanding gender inequality in social media is a challenging task due to the necessity of data sources that can provide large-scale measurements across multiple countries.  ...  We thank the Pew Research Center and the GWI for the access to their data to validate the FGD.  ... 
doi:10.1073/pnas.1717781115 pmid:29921703 fatcat:boraxo2jjfcvhcehz3la3r6llu

Monitoring global digital gender inequality using the online populations of Facebook and Google

Ridhi Kashyap, Masoomali Fatehkia, Reham Al Tamime, Ingmar Weber
2020 Demographic Research  
on the number of Facebook users by various demographic characteristics and can be thought of as a kind of real-time census of the platform's user base.  ...  Online data sources have biases that are important to consider, but by using them in conjunction with traditional data from surveys and censuses, population scientists can contribute to the task of evaluating  ...  For comparability with the results reported in Tables 4 and 5, the Mean Abs.  ... 
doi:10.4054/demres.2020.43.27 fatcat:ptfmqnhx65btbgbadlktsns6l4

Quantifying the Impact of User Attention on Fair Group Representation in Ranked Lists [article]

Piotr Sapiezynski, Wesley Zeng, Ronald E. Robertson, Alan Mislove, Christo Wilson
2019 arXiv   pre-print
Our approach offers two benefits compared to the state of the art. First, we offer a blueprint for modeling of user attention.  ...  By combining these two elements into our metric, we are able to better address the human factors inherent in this problem.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.  ... 
arXiv:1901.10437v2 fatcat:z5j2gv2qlzdrbbnmxsdaxbycle

Unrepresentative big surveys significantly overestimated US vaccine uptake

Valerie C. Bradley, Shiro Kuriwaki, Michael Isakov, Dino Sejdinovic, Xiao-Li Meng, Seth Flaxman
2021 Nature  
We show how a survey of 250,000 respondents can produce an estimate of the population mean that is no more accurate than an estimate from a simple random sample of size 10.  ...  Our central message is that data quality matters more than data quantity, and that compensating the former with the latter is a mathematically provable losing proposition.  ...  We further thank the Delphi Group at CMU for their help in computing weekly design effects for their survey; the Ipsos team for providing data on their 'offline' respondents; the CDC for responding to  ... 
doi:10.1038/s41586-021-04198-4 pmid:34880504 pmcid:PMC8653636 fatcat:ycg2qqi7zbf7de656uywjamo7y
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