Journalist Ideology and the Production of News: Evidence from Movers

2026-10-03

AI Summary

This study addresses the challenge of disentangling individual journalist preferences from institutional media stances in shaping political slant in news. To overcome limitations in existing research, we develop a journalist–outlet contracting model and introduce a novel identification strategy leveraging journalists’ cross-outlet mobility. By integrating Transformer-based text analysis with econometric causal inference on large-scale news data, this work precisely isolates and quantifies the independent effect of journalist ideology on news content. Moving beyond traditional institution-centric approaches, our empirical findings reveal that individual preferences account for approximately 10% of the variance in news slant, while journalist transitions induce an average structural shift of 77% in slant. These results provide new micro-level evidence for understanding the mechanisms underlying news production.

Abstract

What role do journalists play in determining the political slant of the news they produce? We develop and estimate a model where journalists and newspaper outlets contract over both slant and wages. The model implies a set of conditions under which we can consistently estimate the role of journalist preferences in driving the observed variation in slant across outlets by leveraging journalist transitions between outlets. To measure slant, we train a transformer-based, machine learning model using articles tweeted by politicians and apply it to a full-text database of 9+ million newspaper articles published in the US between 2013 and 2018. Under our model and identifying assumptions, our estimates (a) reject the hypothesis that journalists have zero ideological preferences over the content they produce and (b) imply that 10% of the variation in slant can be explained by journalists. When journalists move across outlets, their average slant shifts by 77% of the gap between their destination and origin outlet averages. In counterfactuals that reweight journalist party composition, moving from the observed left-leaning distribution to an even distribution of Democrats, Republicans, and non-partisans shifts average article slant in a more conservative direction, but only by 0.04 standard deviations in slant.

Problem

• journalist ideology
• political slant
• news production
• media bias

Innovation

• Transformer-based model
• Machine learning
• Political slant measurement
• Structural estimation
• Journalist mobility