Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines, the advent of digital media has presented new challenges to the demarcation and study of content. Within Content Analysis, different strategies have been put forward to grapple with these dynamics. And although these approaches each present ways forward for the analysis of web content, they do not yet regard the vast differences between web platforms that serve content, which each have their own ‘technicities,’ e.g. carry their own (often visually undisclosed) formats and formatting, and output their own results and rankings. In this dissertation I therefore develop Networked Content Analysis as a term for such techniques of Content Analysis that are adapted specifically to the study of networked digital media content. The case in question is climate change, one of the major societal challenges of our times, which I study on the web and with search engines, on Wikipedia as well as Twitter. In all, my contribution provides footing for a return to the roots of Content Analysis and at the same time adds to its toolkit the necessary web- and platform-specific research techniques for creating a fine-grained picture of the climate change debate as it takes place across platforms.
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Climate change is one of the key societal challenges of our times, and its debate takes place across scientific disciplines and into the public realm, traversing platforms, sources, and fields of study. The analysis of such mediated debates has a strong tradition, which started in communication science and has since then been applied across a wide range of academic disciplines.So-called ‘content analysis’ provides a means to study (mass) media content in many media shapes and formats to retrieve signs of the zeitgeist, such as cultural phenomena, representation of certain groups, and the resonance of political viewpoints. In the era of big data and digital culture, in which websites and social media platforms produce massive amounts of content and network this through hyperlinks and social media buttons, content analysis needs to become adaptive to the many ways in which digital platforms and engines handle content.This book introduces Networked Content Analysis as a digital research approach, which offers ways forward for students and researchers who want to work with digital methods and tools to study online content. Besides providing a thorough theoretical framework, the book demonstrates new tools and methods for research through case studies that study the climate change debate with search engines, Twitter, and the encyclopedia project of Wikipedia.
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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.
Deze aanvraag onderzoekt hoe de beta-versie van de Dynamische Arousal-Valence Tool - ontwikkeld binnen SIA-RAAK’s Network is the Message – naar de markt gebracht kan worden. De DAVTool meet sentiment in social media posts. Sentimentanalyse levert cruciale informatie voor social media managers, online marketeers en content strategen. Zij móeten weten wat het sentiment over hun product, bedrijf of dienst is om adequaat te kunnen interveniëren. De huidige manier van meten levert niet voldoende inzicht. De nieuwe DAVTool vult de meting aan en meet sentiment op een innovatieve manier en geeft als gevolg meer en betere informatie.
The European creative visual industry is undergoing rapid technological development, demanding solid initiatives to maintain a competitive position in the marketplace. AVENUE, a pan-European network of Centres of Vocational Excellence, addresses this need through a collaboration of five independent significant ecosystems, each with a smart specialisation. AVENUE will conduct qualified industry-relevant research to assess, analyse, and conclude on the immediate need for professional training and educational development. The primary objective of AVENUE is to present opportunities for immediate professional and vocational training, while innovating teaching and learning methods in formal education, to empower students and professionals in content creation, entrepreneurship, and innovation, while supporting sustainability and healthy working environments. AVENUE will result in a systematised upgrade of workforce to address the demand for new skills arising from rapid technological development. Additionally, it will transform the formal education within the five participating VETs, making them able to transition from traditional artistic education to delivering skills, mindsets and technological competencies demanded by a commercial market. AVENUE facilitates mobility, networking and introduces a wide range of training formats that enable effective training within and across the five ecosystems. A significant portion of the online training is Open Access, allowing professionals from across Europe to upgrade their skills in various processes and disciplines. The result of AVENUE will be a deep-rooted partnership between five strong ecosystems, collaborating to elevate the European industry. More than 2000 professionals, employees, students, and young talents will benefit from relevant and immediate upgrading of competencies and skills, ensuring that the five European ecosystems remain at the forefront of innovation and competitiveness in the creative visual industry.
Het project BeterVoorbereid optimaliseert, onderzoekt en implementeert de e-health applicatie BeterVoorbereid om het preoperatieve zorgtraject te ondersteunen en het fysiek herstel van patiënten te verbeteren. Een goede voorbereiding is het halve werk, ook voor patiënten op de wachtlijst voor een chirurgische ingreep. Onderzoek laat zien dat verbeteren van leefstijl en fysieke conditie voorafgaand aan een operatie positieve effecten heeft op het fysieke herstel na de operatie . Het blijkt echter lastig om patiënten goed te informeren in de hectische periode voor operatie. Onderzoek laat zien dat slechts 20% van de informatie wordt onthouden. Daarnaast is het voor patiënten en tweedelijns fysiotherapeuten lastig om gepaste zorg te vinden in de woonomgeving van de patiënt en is financiering van deze preoperatieve zorg een uitdaging. Dit heeft er toe geleid dat enkele fysiotherapeuten het initiatief hebben genomen om samen met MKB partijen op zoek te gaan naar een mogelijke oplossing. Uit dit initiatief is de app BeterVoorbereid voort gekomen. Deze app bevat gepaste adviezen om de leefstijl en fysieke conditie van patiënten te verbeteren, en een koppeling naar een platform waar eerstelijns fysiotherapeuten hun expertise aanbieden om patiënten te begeleiden bij hun preoperatieve voor bereiding. De eerste versie van de app wordt in het voorjaar van 2018 in een pilot getest. Er liggen reeds wensen voor het verder personaliseren van de app en het opzetten van een robuust preoperatief netwerk van eerstelijns fysiotherapeuten rondom de ziekenhuizen die de app aanbieden. Dit voorstel richt zich daarom op de randvoorwaarden voor een duurzame implementatie van de app en de daaraan gekoppelde zorg door 1) het personaliseren van de app, 2) het opzetten van een preoperatief netwerk, 3) onderzoek naar de effectiviteit op patiëntuitkomsten en 4) inzet op implementatie en businessmodellen van de innovatie. In de werkpakketten wordt zowel onderwijs als de beroepspraktijk actief betrokken.
