Media capture, captured: a new computational methodology to measure deteriorating media freedom

Open Access
Authors
Publication date 2024
Journal Democratization
Volume | Issue number 31 | 7
Pages (from-to) 1536-1563
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam Institute for Social Science Research (AISSR)
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam School of Communication Research (ASCoR)
Abstract
The media are under increasing pressure by states to adopt a regime-friendly editorial line in many countries globally, raising the importance of understanding the conditions of successful and failed media capture. Unfortunately, the standard measurement of media capture – annual expert surveys – neither distinguishes between outlets nor offers the needed resolution to assess, e.g., the immediate impact of a new gag law. To remedy these shortcomings, we develop a computational measurement of media capture based on a comparison of nominally independent outlets and regime-owned outlets regarding media agenda and tone when referring to the regime. By relying on two unsupervised measurement methods – topic modelling and sentiment classification – the new method can assess the loss of editorial independence at the level of individual outlets on a monthly or even weekly basis. The methodology is validated by applying it to recent data from Nicaragua. There the two-pronged approach shows how outlets respond differently to regime pressure. While there still are limitations to consider, if further editorial aspects of media capture such as issue framing are added to the methodology, it has the potential of transforming the future study of media capture.

Document type Article
Note With Supplemental Material
Language English
Published at https://doi.org/10.1080/13510347.2024.2331694
Downloads
Media capture, captured (Final published version)
Supplementary materials
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