Between Innovation and Standardization: Best Practices and Inclusive Guidelines in Computational Communication Science
- Author(s)
- Annie Waldherr, Matthew Weber, Shangyuan Wu, Mario Haim, Mariken A.C.G. van der Velden, Kaiping Chen
- Abstract
Computational communication science is transitioning from an emerging to an established field within communication research, creating a need for proper guidelines and methodological standards. This forum gathers experienced computational communication science scholars to debate the merits and drawbacks of standardization and discuss the tension between innovation, rigor, and inclusion. The assembled perspectives review current standards for data collection, sharing, and documentation, offering best practices for future research. They argue that high standards and inclusive practices can coexist, enhancing creativity and accessibility. By adopting inclusive guidelines, the computational communication science community can welcome diverse scholars, foster innovation, and advance the field collectively.
- Organisation(s)
- Department of Communication
- External organisation(s)
- Rutgers University, National University of Singapore (NUS), Ludwig-Maximilians-Universität München, Vrije Universiteit Amsterdam, University of Wisconsin, Madison
- Journal
- Journalism & Mass Communication Quarterly
- Volume
- 102
- Pages
- 13-36
- No. of pages
- 24
- ISSN
- 1077-6990
- DOI
- https://doi.org/10.1177/10776990241301676
- Publication date
- 12-2024
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 508007 Communication science
- Keywords
- ASJC Scopus subject areas
- Communication
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/944356f3-3a84-4808-a558-bcb3a4764e58