It continues the discussions from the 2022 annual conference of the DGPuK Methods division in Munich. 6 articles (two will be published in the next issue of SCM) reflect critically on various aspects of quality criteria for content analysis. Marko Bachl edited the special issue with Mario Haim, Valerie Hase, Johanna Schindler (all LMU Munich), and Emese Domahidi (TU Ilmenau).

The special issue is available here: https://doi.org/10.5771/2192-4007-2023-4.

Our editorial summarizes the main ideas and gives an overview of the six articles:

Abstract: Content analysis is one of the core methods of communication science. However, it is currently confronted with several challenges, such as the influx of procedures, data, and measurements emerging from computational methods. To understand how communication science adapts its methods while simultaneously reassuring their ongoing functionality, the six contributions in this Special Issue focus on (re)established quality criteria for content analysis. They showcase the fact that while manual content analysis (and human coders) is still at the core of our methodology, traditional quality criteria are being reinterpreted and approximated, often in light of open science practices and computational text analysis. Therefore, we call for further reflection on conceptual clarity and methodological approaches related to traditional quality criteria (validity, reliability), how they may be reestablished (reproducibility, robustness, and replicability), as well as criteria that have recently come into focus (e.g., ethics). By bringing together leading scholars in this Special Issue, we aim to contribute to moving content analysis forward as a method based on insights from both inside and outside our discipline.

Haim, M., Hase, V., Schindler, J., Bachl, M., & Domahidi, E. (2023). (Re)Establishing quality criteria for content analysis: A critical perspective on the field’s core method. Studies in Communication and Media, 12(4), 277–288. https://doi.org/10.5771/2192-4007-2023-4-277