Zoekresultaten

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.

Deliverable D 1.1: Whitebook requirements

The following report aims to introduce the main me2 specifications, and to describe the requirements needed to develop the me2 project. Me2 is a technological platform where the behaviours related to energy consumption could be monitored, and also to increase the energy efficiency.In order to have a better understanding about the use of that kind of platforms, a brief literature review is firstly presented, where some of the main behaviour changing mechanisms practices are highlighted. Also, a policy analysis was developed to give an extended overview of the existing market structures and barriers, as well as, the technical features that are relevant for the development of a venture like me2.The report will end with a detailed description of what the me2 user will be like. This information is mostly based on the pre-pilot survey and on a cross-cultural analysis between Portugal and the Netherlands. This comparison is fundamental for a better understanding about the target community used in this project. Concerning to the functional systems requirements, they are also described in this report, giving special attention to what is called me2 Logic, that includes the front-end platform, back-end activities, and the algorithms to user engagement.Therefore, this report delivers, in a very detailed way, all the reviewed information and procedures needed to be determined prior to the platform’s establishment, and regarding its implementation for the project’s first pilot in Lisbon.

Deconstructing the cloud

A Thought-provoking Question Matrix to Guide the Development of Foundation-Model-based Applications

Organizations feel an urgency to develop and implement applications based on foundation models: AI-models that have been trained on large-scale general data and can be finetuned to domain-specific tasks. In this process organizations face many questions, regarding model training and deployment, but also concerning added business value, implementation risks and governance. They express a need for guidance to answer these questions in a suitable and responsible way. We intend to offer such guidance by the question matrix presented in this paper. The question matrix is adjusted from the model card, to match well with development of AIapplications rather than AI-models. First pilots with the question matrix revealed that it elicited discussions among developers and helped developers explicate their choices and intentions during development.

D6.7 - Operational Geo-Data and Visualisation Module (Deliverable)

Deliverable 6.7 describing the GeoViz application for GeoData visualisation, developed for the EU-funded project ILIAD.

Van ARG tot Widget-TV. Afstudeeronderzoeken bij het CrossmediaLab. LabRats #1

Met bijdragen van Matthijs Rotte, Niniane Veldhoen, Kevin Oudshoorn, Tom Jansen, Wiel van Horck, Bram Koopman, Joshua Hazelaar. Bevat samenvattingen van de eerste afstudeeropdrachten (2009) van het lectoraat Crossmedia.