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What Defines and Affects Replicability in Computational Communication Science? (RepCCS (MetaRep))



Abstract

The project

investigates the determinants and conditions for replicability in the field of

Computational Communication Science (CCS). Ethical and legal questions

regarding the (re-) use of data with regards to privacy or copyright issues,

the control exerted by (commercial) third parties over data access, as well as

technological challenges with reusing research materials, such as changes or

deprecations of platforms, APIs, or other software complicate replications in CCS.

These challenges are a consequence of a) the methods commonly used in the field

(e.g., automated content analyses and observations), b) the volatility of its

topics of study and the data it makes use of (e.g., news stories or

social-media posts), and c) the increasing dependency on third-party data

providers (e.g., search engines, social networking sites). Against this

background, the project will (1) assess the potential replicability of research

in CCS by means of a large-scale content analysis of publications in the field,

and (2) test and evaluate the actual replicability of studies from this field

by means of a reproduction and replication of purposively selected studies.

 



Runtime
01.03.2022 – 28.02.2025

Sponsored by

Deutsche Forschungsgemeinschaft