Working Papers

 Accepted papers 

Greasing the wheels for comparative communication research
Authors: Fabienne Lind, Tobias Heidenreich, Christoph Kralj, Hajo G. Boomgaarden

Code: https://github.com/Christoph/MultilingualTextAnalysis

SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3840747

OSF (online appendix): https://osf.io/vumh5/

APL: A Python Library for Computational Aesthetic Analysis of Visual Media in Social Science Research
Author: Yilang Peng

Code: https://github.com/yilangpeng/Athec 

SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3899662

MARMOT: A Deep Learning Framework for Constructing Multimodal Representations for Vision-and-Language Tasks
Authors: Patrick Y. Wu, Walter R. Mebane, Jr.

Code: https://github.com/patrickywu/MARMOT

Preprint: https://arxiv.org/abs/2109.11526 

Age and Gender Representation on German TV: A Longitudinal Computational Analysis.
Authors: Pascal J├╝rgens, Christine E. Meltzer, Michael Scharkow

Preprint, Data and Code: https://osf.io/9kzac

Visual Framing of Social Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness
Authors: Kaiping Chen, Sang Jung Kim, Sebastina Raschka, Qiantong Gao

Preprint: https://arxiv.org/abs/2102.01163

Code: https://github.com/LynetteGao/image_as_data

Fifteen Seconds of Fame: TikTok and the Supply Side of Social Video
Authors: Benjamin Guinaudeau, Kevin Munger, Fabio Votta

Preprint: https://osf.io/zvq8w/

Code: https://osf.io/c4xq3/

 

CCR Working Papers

As explained in our review policy, we encourage authors to publish a preprint of their manuscript once we reach the "intend to publish" stage. Below are preprints of the papers that are currently under review that we intend to publish assuming that any outstanding issues are resolved. Please note that these papers are not accepted yet and there is no guarantee that they will be eventually published in this journal. 

The 4CAT Capture and Analysis Toolkit: A Modular Tool for Transparent and Traceable Social Media Research

Authors: Stijn Peeters, Sal Hagen

SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3914892 

Code: https://github.com/digitalmethodsinitiative/4cat