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New journalism 3.0 – aggregation, content farms and Huffinization

Journalists in the 21st century are expected to work for different platforms, gather online information, become multi‐media professionals, and learn how to deal with amateur contributions. The business model of gathering, producing and distributing news changed rapidly. Producing content is not enough; moderation and curation are at least as important when it comes to working for digital platforms. There is a growing pressure on news organizations to produce more inexpensive content for digital platforms, resulting in new models of low‐cost or even free content production. Aggregation, either by humans or machines ‘finding’ news and re‐publishing it, is gaining importance. At so‐called ‘content farms’ freelancers, part‐timers and amateurs produce articles that are expected to end up high in web searches. Apart from this low‐pay model a no‐pay model emerged were bloggers write for no compensation at all. At the Huffington Post thousands of bloggers actually work for free. Other websites use similar models, sometimes offering writers a fixed price depending on the number of clicks a page gets. We analyse the background, the consequences for journalists and journalism and the implications for online news organizations. We investigate aggregation services and content farms and no‐pay or low‐pay news websites that mainly use bloggers for input.

The Urban Belonging Photo App: A toolkit for studying place attachments with digital and participatory methods

This paper introduces the open-source Urban Belonging (UB) toolkit, designed to study place attachments through a combined digital, visual and participatory methodology that foregrounds lived experience. The core of the toolkit is the photovoice UB App, which prompts participants to document urban experiences as digital data by taking pictures of the city, annotating them, and reacting to others’ photos. The toolkit also includes an API interface and a set of scripts for converting data into visualizations and elicitation devices. The paper first describes how the app’s design specifications were co-created in a process that brought in voices from different research fields, planners from Gehl Architects, six marginalized communities, and citizen engagement professionals. Their inputs shaped decisions about what data collection the app makes possible, and how it mitigates issues of privacy and visual and spatial literacy to make the app as inclusive as possible. We document how design criteria were translated into app features, and we demonstrate how this opens new empirical opportunities for community engagement through examples of its use in the Urban Belonging project in Copenhagen. While the focus on photo capture animates participants to document experiences in a personal and situated way, metadata such as location and sentiment invites for quali-quantitative analysis of both macro trends and local contexts of people’s experiences. Further, the granularity of data makes both a demographic and post-demographic analysis possible, providing empirical ground for exploring what people have in common in what they photograph and where they walk. And, by inviting participants to react to others’ photos, the app offers a heterogeneous empirical ground, showing us how people see the city differently. We end the paper by discussing remaining challenges in the tool and provide a short guide for using it.

Space is the Place

Lecturers’ curational abilities

In today’s era of content abundance, education has to deal with changed practices for the dissemination of knowledge. Many digital resources are available, and they have the potential to take the place of textbooks. ‘The role of the classic textbook as the key, immutable reference point for any class subject, is rapidly fading’, says Good (2016). Educational publishers like Pearson see a decline in textbook use (Sweney, 2017), and a study at a Dutch university of applied sciences (Leighton, 2015) indicates that lecturers in higher education move away from core textbooks towards a variety of materials, including powerpoint slides, websites, and videos. Baron & Zablot (2015) complement this, saying ‘teachers now have the possibility to create and modify resources’. This development carries the risk that the structure, continuity and coherence textbooks are supposed to provide (Littlejohn, 2011), disappear. One could argue that when structure and coherence disappear from learning materials, the quality of education is at risk. To make the most of (digital) materials that teachers select, they must be organized well (Deschaine & Sharma, 2015). In order to do that, lecturers will have to act as skilled curators when selecting and structuring learning materials. Central in the concept of curation is that it goes beyond selection: providing coherence and context is what sets out curation from mere selection (Bhaskar, 2016). Considered from the perspective of teaching, curating means selecting and structuring learning content for students, while also providing them with context and coherence. The notion of lecturers as curators has been discussed by Siemens (2008), who describes the changing roles of lecturers and identifies ‘curational educators’ as those who ‘acknowledge the autonomy of learners, yet understand the frustration of exploring unknown territories without a map’. So far, the literature mainly focusses on providing students with curational skills, since these are important 21st century and media literacy skills (e.g. Jenkins et al., 2009; Potter, 2012). Little empirical research has been done when it comes to curational roles of lecturers. This proposed poster provides a mixed-methods research design for a PhD study.

Algorithm curation and the emergence of filter bubbles

Algorithmic curation is a helpful solution for the massive amount of content on the web. The term is used to describe how platforms automate the recommendation of content to users. News outlets, social networks and search engines widely use recommendation systems. Such automation has led to worries about selective exposure and its side effects. Echo chambers occur when we are over-exposed to the news we like or agree with, distorting our perception of reality (1). Filter bubbles arise where the information we dislike or disagree with is automatically filtered out – narrowing what we know (2). While the idea of Filter Bubbles makes logical sense, the magnitude of the "filter bubble effect", reducing diversity, has been questioned [3]. Most empirical studies indicate that algorithmic recommendations have not locked large audience segments into bubbles [4]. However, little attention has been paid to the interplay between technological, social, and cognitive filters. We proposed an Agent-based Modelling to simulate users' emergent behaviour and track their opinions when getting news from news outlets and social networks. The model aims to understand under which circumstances algorithmic filtering and social network dynamics affect users' innate opinions and which interventions can mitigate the effect. Agent-based models simulate the behaviour of multiple individual agents forming a larger society. The behaviour of the individual agents can be elementary, yet the population's behaviour can be much more than the sum of its parts. We have designed different scenarios to analyse the contributing factors to the emergence of filter bubbles. It includes different recommendation algorithms and social network dynamics. Cognitive filters are based on the Triple Filter Bubble model [5].References1.Richard Fletcher, 20202.Eli Pariser, 20123.Chitra & Musco, 20204. Möller et al., 20185. Daniel Geschke et al, 2018

The curatorial turn in tourism and hospitality.

Purpose: This study, a conceptual paper, analyses the growth of curation in tourism and hospitality and the curator role in selecting and framing products and experiences. It considers the growth of expert, algorithmic, social and co-creative curation modes and their effects. Design/methodology/approach: Narrative and integrative reviews of literature on curation and tourism and hospitality are used to develop a typology of curation and identify different curation modes. Findings: Curational techniques are increasingly used to organise experience supply and distribution in mainstream fields, including media, retailing and fashion. In tourism and hospitality, curated tourism, curated hospitality brands and food offerings and place curation by destination marketing organisations are growing. Curation is undertaken by experts, algorithms and social groups and involves many of destination-related actors, producing a trend towards “hybrid curation” of places. Research limitations/implications: Research is needed on different forms of curation, their differential effects and the power roles of different curational modes. Practical implications: Curation is a widespread intermediary function in tourism and hospitality, supporting better consumer choice. New curators influence experience supply and the distribution of consumer attention, shaping markets and co-creative activities. Increased curatorial activity should stimulate aesthetic and stylistic innovation and provide the basis for storytelling and narrative in tourism and hospitality. Originality/value: This is the first study of curational strategies in tourism and hospitality, providing a definition and typology of curation, and linking micro and macro levels of analysis. It suggests the growth of choice-based logic alongside service-dominant logic in tourism and hospitality.