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The State of Digital Media Data Research, 2023
DMD Report website: https://mddatacoop.org/dmd/The purpose of this report is to provide an account of digital media data (DMD) research practices and to highlight its ongoing challenges. We define DMD as data that are collected, extracted, gathered, or scraped from a web-based platform such as a
website, social networking site, mobile application, or another virtual space. We break
these practices and their challenges into three stages—collection, analysis, and sharing.
We argue that continuing digital media data (DMD) research should be guided by four
principles: collaboration, transparency, preparation, and consistency.
1. COLLABORATION: Working together on protocols for DMD research can occur across all stages of the research pipeline, including setting norms for data
sharing, producing baseline research, and co-developing archives.
2. TRANSPARENCY: Make code and data accessible to other researchers, when
possible. Open-source software development is especially helpful for advancing
research in a transparent manner. Given the cost for collecting, storing, and
analyzing DMD, we also encourage researchers to provide these details in their
publications.
3. PREPARATION: Researchers should anticipate the risks or challenges to
collecting, analyzing, and reporting on DMD. Emerging methods for data
collection, such as donated data, provide a new mechanism for studying user-consented data.
4. CONSISTENCY: We end with this principle because it builds on the
aforementioned three as, when researchers are collaborative, transparent and
prepared, research approaches will be more consistent, allowing us to compare
across studies and identify situational contexts that require nuanced protocol.This work has been generously supported by the Social Science Research Council.Journalis