The academic journal Journalism & Mass Communication Quarterly has published an article titled "Between Innovation and Standardization: Best Practices and Inclusive Guidelines in Computational Communication Science," written by Annie Waldherr, Matthew Weber, Shangyuan Wu, Mario Haim, Mariken van der Velden, and Kaiping Chen. The authors discuss the pros and cons of standardization in CCS, as well as the tension between innovation, rigor, and inclusion.    

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.

Find the full open-access paper here: https://doi.org/10.1177/10776990241301676

Cite article:

Waldherr, A., Weber, M., Wu, S., Haim, M., van der Velden, M. A. C. G., & Chen, K. (2024). Between Innovation and Standardization: Best Practices and Inclusive Guidelines in Computational Communication Science. Journalism & Mass Communication Quarterly, 0(0). https://doi.org/10.1177/10776990241301676https://doi.org/10.1177/10776990241301676