Online Credibility and Information Labor: Infrastructure Reverberating through Ethos

This chapter examines how information infrastructure influences ethos in information labor. The primary text is discourse about ACID3, a web page created by members of the Web Standards Project. ACID3 tests the compliance of infrastructural standards for web browsers. In addition to analyzing ACID3 code, several other related conference presentations, job announcements, and web pages are analyzed to theorize ACID3 as a rhetorical text. This chapter argues that three rhetorical commonplaces (mastery, purity, infallibility) are central for the credibility of ACID3 as a text of legitimacy. This study provides a better understanding of rhetoric and infrastructure. To understand rhetorics of infrastructural standardization is to understand the power structures embedded within the modern world. ACID3 is a significant case because of its criticality for standards that enable publics to publish Web content. This chapter contributes to literature in information infrastructural studies, science and technology studies, and the rhetoric of science

Human-data interaction in healthcare

In this chapter, we focus on an emerging strand of IT-oriented research, namely Human-Data Interaction (HDI) and on how this can be applied to healthcare. HDI regards both how humans create and use data by means of interactive systems, which can both assist and constrain them and the operational level of data work, which is both work on data and by data. Healthcare is a challenging arena where to test the potential of HDI towards a new, user-centered perspective on how to support and assess “data work”. This is especially true in current times where data are becoming increasingly big and many tools are available for the lay people, including doctors and nurses, to interact with health-related data. This chapter is a contribution in the direction of considering health-related data through the lens of HDI, and of framing data visualization tools in this strand of research. The intended aim is to let the subtler peculiarities among different kind of data and of their use emerge and be addressed adequately. Our point is that doing so can promote the design of more usable tools that can support data work from a user-centered and data quality perspective and the evidence-based validation of these tools