Arjun Wilkins
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View article: The Effect of Deactivating Facebook and Instagram on Users’ Emotional State
The Effect of Deactivating Facebook and Instagram on Users’ Emotional State Open
View article: How do social media feed algorithms affect attitudes and behavior in an election campaign?
How do social media feed algorithms affect attitudes and behavior in an election campaign? Open
We investigated the effects of Facebook's and Instagram's feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of…
View article: Reshares on social media amplify political news but do not detectably affect beliefs or opinions
Reshares on social media amplify political news but do not detectably affect beliefs or opinions Open
We studied the effects of exposure to reshared content on Facebook during the 2020 US election by assigning a random set of consenting, US-based users to feeds that did not contain any reshares over a 3-month period. We find that removing …
View article: The Effect of Deactivating Facebook and Instagram on Users’ Emotional State
The Effect of Deactivating Facebook and Instagram on Users’ Emotional State Open
View article: The effects of Facebook and Instagram on the 2020 election: A deactivation experiment
The effects of Facebook and Instagram on the 2020 election: A deactivation experiment Open
We study the effect of Facebook and Instagram access on political beliefs, attitudes, and behavior by randomizing a subset of 19,857 Facebook users and 15,585 Instagram users to deactivate their accounts for 6 wk before the 2020 U.S. elect…
View article: Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism Open
Sparse histogram methods can be useful for returning differentially private counts of items in large or infinite histograms, large group-by queries, and more generally, releasing a set of statistics with sufficient item counts. We consider…
View article: The Diffusion and Reach of (Mis)Information on Facebook during the U.S. 2020 Election
The Diffusion and Reach of (Mis)Information on Facebook during the U.S. 2020 Election Open
Social media creates the possibility for rapid, viral spread of content, but how many posts actually reach millions? And is misinformation special in how it propagates? We answer these questions by analyzing the virality of and exposure to…
View article: Author Correction: Like-minded sources on Facebook are prevalent but not polarizing
Author Correction: Like-minded sources on Facebook are prevalent but not polarizing Open
View article: Like-minded sources on Facebook are prevalent but not polarizing
Like-minded sources on Facebook are prevalent but not polarizing Open
Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field exper…
View article: Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism Open
Sparse histogram methods can be useful for returning differentially private counts of items in large or infinite histograms, large group-by queries, and more generally, releasing a set of statistics with sufficient item counts. We consider…
View article: Facebook Privacy-Protected Full URLs Data Set
Facebook Privacy-Protected Full URLs Data Set Open
This is a codebook for data on the demographics of people who viewed, shared, and otherwise interacted with web pages (URLs) shared on Facebook, between January 1, 2017 and October 31, 2022. The data has about 68 million URLs, over 3.1 tri…
View article: URLs-v2.pdf
URLs-v2.pdf Open
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View article: URLs-v2.pdf
URLs-v2.pdf Open
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View article: URLs-v2.pdf
URLs-v2.pdf Open
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View article: URLs-v2.pdf
URLs-v2.pdf Open
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View article: URLs-v3.pdf
URLs-v3.pdf Open
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View article: URLs-v2.pdf
URLs-v2.pdf Open
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View article: Facebook URL Shares Light Training Data
Facebook URL Shares Light Training Data Open
This codebook results from a collaboration between Facebook and Social Science One, originally prepared for Social Science One grantees. It describes the first URLs training dataset, including its scope, structure, and fields. This data is…
View article: Facebook URL Shares-Light
Facebook URL Shares-Light Open
This codebook results from a collaboration between Facebook and Social Science One, originally prepared for Social Science One grantees. It describes the first URLs dataset, including its scope, structure, and fields. The data describes we…
View article: Facebook URLs-Training Data Codebook.pdf
Facebook URLs-Training Data Codebook.pdf Open
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View article: Facebook URLs-Light Codebook V2.0.pdf
Facebook URLs-Light Codebook V2.0.pdf Open
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View article: Facebook URLs-Light Codebook V1.0-1.pdf
Facebook URLs-Light Codebook V1.0-1.pdf Open
Codebook
View article: Facebook URLs-Training Data Codebook.pdf
Facebook URLs-Training Data Codebook.pdf Open
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View article: Facebook URL Shares-Light Training Data
Facebook URL Shares-Light Training Data Open
This codebook results from a collaboration between Facebook and Social Science One, originally prepared for Social Science One grantees. It describes the first URLs training dataset, including its scope, structure, and fields. This data is…
View article: Replication Data for: To Lag or Not to Lag? Re-evaluating the Use of Lagged Dependent Variables in Regression Analysis
Replication Data for: To Lag or Not to Lag? Re-evaluating the Use of Lagged Dependent Variables in Regression Analysis Open
copy directly from abstract in PSRM publication
View article: Readme.txt
Readme.txt Open