Peter Selb
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View article: Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data
Characteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data Open
A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that pred…
View article: Self-directed online information search can affect policy support: a randomized encouragement design with digital behavioral data
Self-directed online information search can affect policy support: a randomized encouragement design with digital behavioral data Open
The abundance of information sources in our digital environment makes it difficult to study how such information shapes individuals' support for current policies. Our study with 791 German participants investigates self-directed online sea…
View article: Income, Identity, and International Redistribution: Evidence from the European Union
Income, Identity, and International Redistribution: Evidence from the European Union Open
Previous research emphasizes that individual economic status does not significantly influence support for redistribution within the European Union (EU). Instead, identity factors are often posited as the main causes. We study the interacti…
View article: Characteristics of ChatGPT users from Germany: implications for the digital divide from web tracking data
Characteristics of ChatGPT users from Germany: implications for the digital divide from web tracking data Open
A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that pred…
View article: Electoral predictors of polling errors
Electoral predictors of polling errors Open
Case studies of polling failures focus on within-election differences in poll accuracy. The crucial question of why polls fail in one election but not in others often remains a matter of speculation. To develop a contextual understanding, …
View article: Replication Code for: Bias and Variance in Multiparty Election Polls
Replication Code for: Bias and Variance in Multiparty Election Polls Open
Replication code for "Bias and Variance in Multiparty Election Polls" includes code and data for scraping and cleaning pre-election polls conducted for German national (Bundestag) and regional (Landtag) elections from 1994 to 2021. The dat…
View article: Graphical Causal Models for Survey Inference
Graphical Causal Models for Survey Inference Open
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether populati…
View article: Electoral predictors of polling errors
Electoral predictors of polling errors Open
To understand when polls are accurate and when they fail, we adopt a Bayesian hierarchical modeling approach that separates poll bias and variance at the election level, and links error components to a broad range of election features incl…
View article: Tracking and Promoting the Usage of a COVID-19 Contact Tracing App
Tracking and Promoting the Usage of a COVID-19 Contact Tracing App Open
Digital contact tracing apps have been introduced globally as an instrument to contain the COVID-19 pandemic. Yet, privacy by design impedes both the evaluation of these tools and the deployment of evidence-based interventions to stimulate…
View article: Can we directly survey adherence to non-pharmaceutical interventions?
Can we directly survey adherence to non-pharmaceutical interventions? Open
Self-reports of adherence to non-pharmaceutical interventions in surveys may be subject to social desirability bias. Existing questioning techniques to reduce bias are rarely used to monitor adherence. We conducted a list experiment to eli…
View article: Graphical Causal Models for Survey Inference
Graphical Causal Models for Survey Inference Open
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether populati…
View article: Replication Data for: Examining a Most Likely Case for Strong Campaign Effects: Hitler’s Speeches and the Rise of the Nazi Party, 1927–1933
Replication Data for: Examining a Most Likely Case for Strong Campaign Effects: Hitler’s Speeches and the Rise of the Nazi Party, 1927–1933 Open
Code and data for "Examining a Most Likely Case for Strong Campaign Effects: Hitler’s Speeches and the Rise of the Nazi Party, 1927–1933"