Fact-checks as Data Source? Content Analysis of Fact-checking Articles in Germany between 2019 and 2023

Misinformation has to be uncovered before it can be used for research purposes. This is a resource intensive process, which is why fact-checks have been a popular data source. They have been used directly as proxy for misinformation and indirectly to identify its sources and analyze its content and spread. However, there is little research on the limitations of fact-checks as a data source. Are there patterns in their topics that might lead to biased research results? How does the fact-checkers’ choice of targeting certain actors and social media platforms influence their article’s content? The study provides answers to these questions. It analyzes fact-checks from four German outlets between 2019 and 2023. The study finds that certain topics appear continuously, while for others coverage is event- driven. Furthermore, political actors are covered only to a small extent and even less when they are the originators of misinformation. Finally, fact-checks focus strongly on misinformation on Facebook and the findings indicate that the topic distribution of fact-checks might be different if other platforms were focused. The article discusses the findings with respect to limitations of fact-checks as a data source and concludes with practical recommendations for future research.

Authors

Institutions

Publication Details

Journal
Computational Communication Research
Published
2025-04-08
DOI
https://doi.org/10.5117/ccr2025.1.6.nenn
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
5.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fact-checks as Data Source? Content Analysis of Fact-checking Articles in Germany between 2019 and 2023

Sami Nenno
1 citations
Computational Communication Research
Computational and Text Analysis Methods
5.34
article

Fact-checks as Data Source? Content Analysis of Fact-checking Articles in Germany between 2019 and 2023

Sami Nenno
article en
1 citations

Abstract

Misinformation has to be uncovered before it can be used for research purposes. This is a resource intensive process, which is why fact-checks have been a popular data source. They have been used directly as proxy for misinformation and indirectly to identify its sources and analyze its content and spread. However, there is little research on the limitations of fact-checks as a data source. Are there patterns in their topics that might lead to biased research results? How does the fact-checkers’ choice of targeting certain actors and social media platforms influence their article’s content? The study provides answers to these questions. It analyzes fact-checks from four German outlets between 2019 and 2023. The study finds that certain topics appear continuously, while for others coverage is event- driven. Furthermore, political actors are covered only to a small extent and even less when they are the originators of misinformation. Finally, fact-checks focus strongly on misinformation on Facebook and the findings indicate that the topic distribution of fact-checks might be different if other platforms were focused. The article discusses the findings with respect to limitations of fact-checks as a data source and concludes with practical recommendations for future research.

Computational Communication ResearchVol. 7(1)
University of Bremen (DE), Alexander von Humboldt Institute for Internet and Society (DE)
Openalex Percentile: Top 6%
Computational and Text Analysis Methods
5.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.