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This report focuses on the phenomenon of daily news podcasts, one of the fastest growing areas of media consumption. For publishers like the New York Times (The Daily) and the Guardian (Today in Focus) these on-demand audio briefings are now attracting large daily audiences, building habit and loyalty for their brands, and driving significant revenue too. Elsewhere the daily podcast scene is more nascent, though European public broadcasters and commercial publishers have been embracing them in the last year. The report looks at daily news podcasts in six countries (UK, US, Australia, France, Sweden and Denmark) and asks how coronavirus (COVID-19) has affected listening patterns and the way these shows are produced. Daily news podcasts make up less than 1% of all those produced but account for more than 10% of the overall downloads in the US and 9% in France and Australia, according to analysis of publicly available data.

More than 15 years after the term was first coined, podcasting has become one of the hottest topics in media. Publisher interest has grown following the success of The Daily from the New York Times which has built an audience of 2m daily listens along with substantial annual revenues. Dozens of daily news podcasts have launched over the last 18 months. This research exploring the types of news podcasts being produced in five countries - the UK, US, Australia, Sweden and France - as well as looking at the motivations for publishers and audio platforms. The report finds that publishers are making significant investments in news podcasting hoping to attract younger audiences, build habit, and bring in additional revenue.

More than 15 years after the term was first coined, podcasting has become one of the hottest topics in media. Publisher interest has grown following the success of The Daily from the New York Times which has built an audience of 2m daily listens along with substantial annual revenues. Dozens of daily news podcasts have launched over the last 18 months. This research exploring the types of news podcasts being produced in five countries - the UK, US, Australia, Sweden and France - as well as looking at the motivations for publishers and audio platforms. The report finds that publishers are making significant investments in news podcasting hoping to attract younger audiences, build habit, and bring in additional revenue.

Many real-world problems, such as Markov Logic Networks (MLNs) with evidence, can be represented as a highly symmetric graphical model perturbed by additional potentials. In these models, variational inference approaches that exploit exact model symmetries are often forced to ground the entire problem, while methods that exploit approximate symmetries (such as by constructing an over-symmetric approximate model) offer no guarantees on solution quality. In this paper, we present a method based on a lifted variant of the generalized dual decomposition (GenDD) for marginal MAP inference which provides a principled way to exploit symmetric sub-structures in a graphical model. We develop a coarse-to-fine inference procedure that provides any-time upper bounds on the objective. The upper bound property of GenDD provides a principled way to guide the refinement process, providing good any-time performance and eventually arriving at the ground optimal solution.

Il documento descrive gli scenari sperimentati per ogni componente del sistema: data mining, indicizzazione semantica, arricchimento del testo.

Scopo di questo documento è illustrare il piano di test finale e le verifiche che saranno effettuate per il sistema nel suo complesso e per ogni sottosistema che lo compone.