Combining keystroke logging, screen recordings, interviews, and text quality assessment in two mixed-methods studies with technical writers, this research (1) identifies defining variables of technical writing processes and (2) examines their correlations with and predictive power for text quality. Study 1, an exploratory investigation with 10 participants, identified 22 distinct writing behaviors under six categories of information searching, information reusing, content shaping, organization structuring, language styling, and layout designing during planning, translating, and reviewing sessions. These behavioral variables, together with time-related variables, were subsequently analyzed as “process indicators” in a comparative experiment with 43 participants across experience levels. Results of Study 2 revealed significant differences among experience levels in writing speed, planning duration, pause, search, reuse, content shaping, and structuring. Detailed planning and systematic content/structure editing were strongly associated with higher-quality texts. Building on these findings, we propose a process model of technical writing, explain its correlations with writing score, and depict process profiles of different experience levels. We also highlight the importance of information processing skills in enhancing writing efficiency, offering empirical guidance for technical writing instruction and professional training.

Background: During two major rainstorm disasters in Henan and Shanxi provinces in 2021, digital volunteer groups in China used cloud-based technologies to facilitate rescue and relief efforts. Literature review: In technical and professional communication (TPC), crisis and disaster communication has been studied extensively in contexts such as public health emergencies, terrorist attacks and war, and natural disasters. However, less attention has been given to grassroots, digitally mediated volunteer networks, particularly through the lens of Actor-Network Theory (ANT). Research question: How did volunteer groups mobilize information through an expanded process of translation for disaster relief during the Henan and Shanxi rainstorm calamities? Research methodology: We conducted virtual, multisited ethnography by joining volunteer social media groups during the disasters. We also interviewed documentation creators and analyzed media coverage to understand the practices and infrastructures that supported their work. Results: We introduce a five-phase model of disaster communication: Problematization, Initiation, Launch, Optimization, and Transfer (PILOT). This ANT-informed model theorizes how distributed digital volunteer groups mobilized, stabilized, and transferred actor networks during crisis response, offering a more granular account of their emergent, decentralized, affective work than previous TPC scholarship. Conclusions: TPC professionals can (re)design adaptive communication infrastructures that support rapid response in digital environments, particularly in terms of organizational coordination, knowledge flow, and technological integration.

Introduction: Graduates with master's degrees in Translation and Interpreting (MTI) are an important workforce in technical communication. To meet this need, we examined the pedagogy of trans-writing to better integrate technical communication (TC) into translation programs. This teaching case from two Chinese universities discusses the curriculum design, its implementation, and teaching effectiveness. Situating the case: While an increasing number of universities in China are interested in embedding TC courses into their translation programs, no research-backed effective solution has been identified. About the case: To boost the employability of MTI students, we designed the courses as “user-centered trans-writing with global content,” which features trans-writing as a strategy for global content creation, user research as the core learning task, and team projects as the primary form of engagement. Methods: We used a mixed method of interviews and surveys to investigate the course effectiveness, each targeting different groups of stakeholders. Results: We synthesized a competence framework for trans-writers based on interviews, which showed that graduates (who work as trans-writers) and their employers prioritized language/culture, user-centered mindset, and cooperation as core competencies. A survey focusing on other graduates who took our courses but did not become trans-writers also revealed positive learning outcomes, including expanded professional visions and enhanced skills in user awareness, project management, collaboration, and communication. Conclusion: The trans-writing approach is effective in equipping MTI students with the necessary competencies for global technical communication.

Defining global warming as a rhetorical construct built by stakeholders, this study investigates how Chinese state and social media understand risk and responsibility regarding climate change. This multi-layer, multi-dimensional, statistical and qualitative textual analysis focuses on the ratification and implementation of the Paris Agreement and the U.S. withdrawal from it. Findings indicate that a new green public sphere led by grassroots experts and aided by lay people is burgeoning in China and changing the way people conceptualize environmental risks and engage in environmental protection. With theoretical and methodological innovations, this study contributes to the emerging field of transnational environmental communication.