With the aim of addressing environmental concerns from an applied social psychological perspective, this study explores how regulations aimed at reducing industrial pollution contribute to short-term and long-term changes in social representations. The local river in a Valley characterised by strong interactions between industries and communities was the focus of concern. Three features of the representations were examined: images, emotional experiences and practices. The research followed a multi-method approach, using reports completed by 11-to 14-year-old school pupils and collected in three periods: 19741977; 19781980; 20072009. In the third time period, interviews and surveys were also collected. Textual data underwent lexicometric analyses and qualitative content analyses; quantitative data underwent descriptive and inferential analyses. Results show that effective regulations contributed to positive change in social representations of the river. After 30 years, however, tensions between elements of the representation are present. Images and emotional experiences of the river considerably improved, so much so that the river almost disappears from the focus of attention. Practices however are consistent with old representations of the water as noxious, indicating persistent concerns about potential pollution. Results suggest the desirability of continuing participatory engagement between citizens and local/environmental authorities, not only as new regulations are introduced but also after they have been enacted. Copyright (c) 2011 John Wiley & Sons, Ltd

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We introduce 9 guiding principles 1 to integrate Participatory Design (PD) methods in the development of Natural Language Processing (NLP) systems. The adoption of PD methods by NLP will help to alleviate issues concerning the development of more democratic, fairer, less-biased technologies to process natural language data. This short paper is the outcome of an ongoing dialogue between designers and NLP experts and adopts a non-standard format following previous work by Traum (2000); Bender (2013); Abzianidze and Bos (2019). Every section is a guiding principle. While principles 1-3 illustrate assumptions and methods that inform community-based PD practices, we used two fictional design scenarios (Encinas and Blythe, 2018), which build on top of situations familiar to the authors, to elicit the identification of the other 6. Principles 4-6 describes the impact of PD methods on the design of NLP systems, targeting two critical aspects: data collection & annotation, and the deployment & evaluation. Finally, principles 7-9 guide a new reflexivity of the NLP research with respect to its context, actors and participants, and aims. We hope this guide will offer inspiration and a road-map to develop a new generation of PD-inspired NLP.

Participatory social innovation projects often involve the coming together of design researchers, community development groups, and community members to develop (often technological) solutions to social problems or challenges. "Intermediaries" are specific individuals and organisations who contribute to these projects by translating intentions, values and experiences between design researchers and communities. Previous research has not yet critically examined the role of intermediaries in such projects. This paper does so in a project carried out in rural areas of Europe, which sought to test and develop a technology to support the creation of FM community radio stations in isolated areas. We present the project as a biography of infrastructures to provide an account of intermediaries' interactions during the project's unfolding. We find that how intermediaries shape the social base and ends of the project, and the interpretation of the technology involved, is influenced by their position, goals, and relationships in the process. CCS CONCEPTS • Human-centered computing → Collaborative and social computing; Empirical studies in collaborative and social computing.

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