Filter by author: John Noel Viana

Textual analysis is a commonly-used qualitative method for analysing and interpreting cultural texts. This approach elicits how representations occur, their underlying assumptions and how they come to have meaning. Despite the popularity and utility of textual analysis, its interpretive and theoretical strategies are not comprehensively described in science communication research. To fill this gap and clarify how textual analysis can be used to unpack the cultural meanings and representation of science in visual texts — images, comics and films — the authors analyse and discuss four environmentally-themed scholarly articles that apply textual analysis. This showcases the value of textual analysis in investigating and understanding the relationships between pop culture and science, demystifying it for science communication students and researchers.

Communities are rarely seen as the ideal level at which to focus science communication efforts, compared to the individual, psychological or mass, societal levels. Yet evidence from allied fields suggests building interpersonal relationships with specific communities over time is key to meaningful engagement, so orienting science communication towards communities is warranted. In this paper, we argue this case. We review previous studies, identifying three existing models of community-oriented science communication, which we label ‘neighbourly’, ‘problem-solving’ and ‘brokering’. We illustrate the effectiveness of the ‘problem-solving’ approach and the desirable ideal of ‘brokering’ using recent examples of community-oriented science communication from Australia.