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- Andersson, Ulrika, 1977
(author)
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Forskningsrapportering i svensk press - en pilotstudie
- 2015
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Reports (other academic/artistic)abstract
- Hur ser egentligen den svenska medierapporteringen av forskning ut? I en pilotstudie har Vetenskap & Allmänhet, VA, tillsammans med SOM-institutet vid Göteborgs universitet undersökt hur svenska tryckta medier rapporterar om forskning. Pilotstudien är en del av den större studien Fusk och förtroende – en studie av medierapportering om forskningsfusk och förtroendet för forskning (VA-rapport 2014:3).
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| 2. |
- Andersson, Ulrika, 1977
(author)
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Svenska nyhetsvanor : Medieutveckling 2018
- 2018
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Reports (other academic/artistic)abstract
- I rapporten Svenska nyhetsvanor 2018 konstateras det att svenskarna är ett nyhetsintresserat folk. Tillgången till nyheter har aldrig tidigare varit så omfattande som den är nu. Det gäller inte minst det utbud som erbjuds via internet och mobila appar. Aldrig förr har det funnits så mycket att välja på för den som är intresserade av nyheter och aldrig förr har det varit så enkelt att välja bort etablerade medierna för att välja utifrån personliga referensramar. Resultatet av den strukturomvandlingen syns bland annat i den generella nyhetsanvändningen, där digitala plattformar har kommit att få en allt mer central roll. Valet av nyhetsmedier och plattformar varierar stort mellan olika grupper i samhället. Den plattform som på kort tid slagit igenom allra snabbast är sociala medier. Fyra av fem svenskar tar del av nyheter via sociala medier minst tre av veckans dagar. Det regelbundna papperstidningsläsandet har minskat kraftigt i alla grupper samtidigt har nyhetsanvändning på nätet blivit etablerat, särskilt bland unga och yngre medelålders. Förändringens omfattning skiftar dock, både mellan olika medier och mellan olika grupper i samhället. Läs mer om hur den skiftar i den rapport Ulrika Andersson, docent och forskare vid SOM-institutet, skrivit på uppdrag av myndigheten.
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- Kontopoulos, E., et al.
(author)
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Deliverable 4.5: Context-aware Content Interpretation
- 2016
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Reports (peer-reviewed)abstract
- The current deliverable summarises the work conducted within task T4.5 of WP4, presenting our proposed approaches for contextualised content interpretation, aimed at gaining insightful contextualised views on content semantics. This is achieved through the adoption of appropriate context-aware semantic models developed within the project, and via enriching the semantic descriptions with background knowledge, deriving thus higher level contextualised content interpretations that are closer to human perception and appraisal needs. More specifically, the main contributions of the deliverable are the following: A theoretical framework using physics as a metaphor to develop different models of evolving semantic content. A set of proof-of-concept models for semantic drifts due to field dynamics, introducing two methods to identify quantum-like (QL) patterns in evolving information searching behaviour, and a QL model akin to particle-wave duality for semantic content classification. Integration of two specific tools, Somoclu for drift detection and Ncpol2spda for entanglement detection. An “energetic” hypothesis accounting for contextualized evolving semantic structures over time. A proposed semantic interpretation framework, integrating (a) an ontological inference scheme based on Description Logics (DL), (b) a rule-based reasoning layer built on SPARQL Inference Notation (SPIN), (c) an uncertainty management framework based on non-monotonic logics. A novel scheme for contextualized reasoning on semantic drift, based on LRM dependencies and OWL’s punning mechanism. An implementation of SPIN rules for policy and ecosystem change management, with the adoption of LRM preconditions and impacts. Specific use case scenarios demonstrate the context under development and the efficiency of the approach. Respective open-source implementations and experimental results that validate all the above.All these contributions are tightly interlinked with the other PERICLES work packages: WP2 supplies the use cases and sample datasets for validating our proposed approaches, WP3 provides the models (LRM and Digital Ecosystem models) that form the basis for our semantic representations of content and context, WP5 provides the practical application of the technologies developed to preservation processes, while the tools and algorithms presented in this deliverable can be deployed in combination with test scenarios, which will be part of the WP6 test beds.
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| 8. |
- Kontopoulos, Efstratios, et al.
(author)
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PERICLES Deliverable 4.4: Modelling Contextualised Semantics
- 2016
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Reports (peer-reviewed)abstract
- The current deliverable summarises the work conducted within task T4.4 of WP4, presenting our proposed models for semantically representing digital content and its respective context – the latter refers to any information coming from the environment of the digital object (DO) that offers a better insight into the object’s status, its interrelationships with other content items and information about the object’s context of use. Within PERICLES, we refer to the content semantics enriched with the contextual perspective as “contextualised semantics”. The deliverable presents two complementary modelling approaches, based respectively on (a) ontologies and logics, and, (b) multivariate statistics.
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| 9. |
- Maronidis, A., et al.
(author)
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PERICLES Deliverable 4.3: Content Semantics and Use Context Analysis Techniques
- 2016
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Reports (peer-reviewed)abstract
- The current deliverable summarises the work conducted within task T4.3 of WP4, focusing on the extraction and the subsequent analysis of semantic information from digital content, which is imperative for its preservability. More specifically, the deliverable defines content semantic information from a visual and textual perspective, explains how this information can be exploited in long-term digital preservation and proposes novel approaches for extracting this information in a scalable manner. Additionally, the deliverable discusses novel techniques for retrieving and analysing the context of use of digital objects. Although this topic has not been extensively studied by existing literature, we believe use context is vital in augmenting the semantic information and maintaining the usability and preservability of the digital objects, as well as their ability to be accurately interpreted as initially intended.
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