
Writing in digital environments for professional and public communication of science has become increasingly important today. Previous research has indicated that it is beneficial for women scientists to communicate their research using emerging digital genres for science communication (graphical abstracts, video summaries, podcasts/videocasts, social networks, etc.). Involvement in producing these types of digital genres highlights digital writing practices for science dissemination. However, little LSP research has been conducted from a gender perspective and from the perspective of genres. Adopting a gender perspective, this paper aims to gain insight into female scientists’ writing experiences in digital environments and uncover the digital and communication skills needed to address the challenges posed by online science communication to diverse. The main research question guiding this study was what digital composing processes female scientists engage in, with a particular focus on digital writing technologies and multimodal resources. To collect data on digital composing processes, three instruments were used in four case studies: a self-evaluation checklist of digital and communication skills, a reflection diary, and a genre plot. The participants are members of a Spanish association of women scientists actively engaged in sharing research openly with diverse audiences online. The results provide evidence of writing as an ongoing, networked, multimodal text production at three stages: before, during, and after creating it. The writing skills these researchers employ involve intermediality and recontextualization strategies, as well as genre knowledge transfer and interdiscursivity. Best practices and strategies identified in the case studies will be presented.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
