Publications
You can also see my publications on my Google Scholar profile.
Publications
- Measuring Investigative Journalism in Local Newspapers, Proceedings of the National Academy of Sciences 2021
Eray Turkel, Anish Saha, Rhett C. Owen, Greg J. Martin, and Shoshana Vasserman
(Press Coverage- Non technical) (Dataset and Code)
We develop a language model to measure the investigative content of news articles, using a large database of newspaper articles between 2010-2018. Our method combines an unsupervised document influence model with supervised classification based on award winning investigative articles. The model achieves a recall of 67% on unseen test data between 2018-2020.
- Regulating Online Political Advertising, ACM WWW 2022: Proceedings of the ACM Web Conference
Eray Turkel
I mathematically characterize the optimal mechanisms in a market environment where a regulator is designing an auction to allocate ads in an online platform. The regulator’s preferences take into account both the ad revenues collected by the platforms, and other societal objectives such as ad diversity and price equity. I use Twitter’s political advertising database to empirically estimate bidding and valuation distributions of online advertisers using a Bayesian statistical model and simulate equilibria under different auction mechanisms.
- Electoral Campaigns as Dynamic Contests, Journal of the European Economic Association 2024
Avidit Acharya, Edoardo Grillo, Takuo Sugaya, and Eray Turkel
We build a game theoretic model of electoral campaigns as dynamic contests in which two candidates allocate their advertising budgets over time to affect their odds of winning, modeled as a mean-reverting stochastic process. We use our characterization of the equilibrium spending path to statistically estimate the over-time rate of decay in the effectiveness of advertising in actual campaigns, using a large dataset of TV advertising from the US between 2000-2014.
Working Papers
Itai Ater, Adi Shany, Brad Ross, Eray Turkel, Shoshana Vasserman (In preperation)
We analyze a major field experiment testing the efficacy of congestion pricing fees in Israel using a panel dataset. Our analysis shows that individuals cut their congestion inducing driving in response to per-Km pricing. We focus on heterogeneity in effects and implications on highway traffic density.
Yunus Can Aybas and Eray Turkel (Revise & Resubmit, last updated Dec 2022)
We analyze the mathematical foundations of games of coarse communication with commitment. Our model captures interactions between a sender and a receiver, where the sender is unable to fully describe the state of the world or recommend all possible actions due to communication constraints, such as credit ratings, product ratings, or advertising. We characterize optimal ways to send information using limited signals, show that the sender’s optimization problem can be tractably solved by a finite program, and prove a general upper bound on the marginal value of a signal.
Posters and Presentations
- Contamination-Aware Experimentation on Networks
Mine Su Erturk and Eray Turkel
(MIT Conference on Digital Experimentation, November 2020)
We study a setting where a decision maker is conducting experiments in a network environment, where other analysts are simulataneously conducting experiments on the same network. We analyze an experimenter’s problem where the goal is learning an optimal treatment regime over the network while limiting the contamination on other experimenters. We provide theoretical regret bounds and study the performance of our suggested policy through simulations.