254 citations
- ETH ZurichCH3 papers
- German Institute for Economic ResearchDE3 papers
- University of BaselCH3 papers
- Europa-Universität FlensburgDE2 papers
- Mercator Research Institute on Global Commons and Climate ChangeDE2 papers
- Northeastern UniversityUS2 papers
- Technical University of DenmarkDK2 papers
- Technische Universität BerlinDE2 papers
- University of OxfordGB2 papers
- Aalborg UniversityDK1 paper
- AIT Austrian Institute of Technology GmbHAT1 paper
- Alexandria UniversityEG1 paper
17 papers
Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations
David Hartmann, Amin Oueslati, Dimitri Staufer +3
Commercial content moderation APIs are marketed as scalable solutions to combat online hate speech. However, the reliance on these APIs risks both silencing legitimate speech, call…
Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs
Silvana Tiedemann, Jorge Sanchez Canales, Felix Schur +4
The price elasticity of demand can be estimated from observational data using instrumental variables (IV). However, naive IV estimators may be inconsistent in settings with autocor…
From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation
Silke K. Kaiser, Nadja Klein, Lynn H. Kaack
Shifting to cycling in urban areas reduces greenhouse gas emissions and improves public health. Street-level bicycle volume information would aid cities in planning targeted infras…
Towards Mobility Data Science (Vision Paper)
Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…
Price elasticity of electricity demand: Using instrumental variable regressions to address endogeneity and autocorrelation of high-frequency time series
Silvana Tiedemann, Raffaele Sgarlato, Lion Hirth
This paper examines empirical methods for estimating the response of aggregated electricity demand to high-frequency price signals, the short-term elasticity of electricity demand.…
Automated Identification of Climate Risk Disclosures in Annual Corporate Reports
David Friederich, Lynn H. Kaack, Alexandra Luccioni +1
It is important for policymakers to understand which financial policies are effective in increasing climate risk disclosure in corporate reporting. We use machine learning to autom…