Computational methods are characterized by and can increase social bias in research.
Identification of major barriers to multi- and cross-platform research and computational ways to alleviate them.
We need to take a closer look at bias in and through computational methods.
In this Special Issue, we rethink epistemological changes in journalism through the lens of power.
Young social media users sense risks but poorly recognize political microtargeting.
News about and audience reactions to terrorism are subject to bias.
Platform non-compliance with EU data access rights severely limits data donation research and calls for reforms.
Automated classifiers can introduce misclassification bias, but with proper validation and error-correction methods, their measurements remain reliable.
Disclosure about political microtargeting can have chilling effects on citizens.
Perceived fit of targeted political advertising lowers perceived manipulation and increases perceived democratic benefits.
German news outlets adapt content to social media technically but not communicatively.
News coverage of climate change varies globally, with the Global North reporting more frequently and the Global South emphasizing societal impacts.
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