Report summarizing the refined user scenarios, the user stories and their prioritisation and the resulting requirements from tasks T2.1 and T2.2.
Plan that describes the data used in the project as well as the way the project deals with this data and with the knowledge created in the project.
Human rights implications checklist to be used in the planning and development of the MIRROR application.
This deliverable describes the first version of the developed approach for migration-domain multimedia content annotation, automatic speech recognition, and provides a preliminary version for the visual sentiment analysis approach.
Progress report of Y1 including updated risk assessment and KPI assessment.
Initial version of the Dissemination and Exploitation Plan at M6, with updated versions at M18 and M36.
Initial version of the Communications Plan plan at M3, with updated versions at M18 and M36.
This deliverable describes the methodology for cross media social network construction and provides first analysis of echo the chamber effects as well as for bias detection and propagation in constructed networks.
first version of the information model, based on the outcomes of WP2 (user stories and requirements) and WP4, WP5, WP6 (analysis models). The initial version of the model will define the core entities and workflows to be used as input for the first prototype.
Theoretical framework for interplay social media migration process and target country perceptions based on literature review and initial expert interviews. Publication as Journal Article planned.
Creation of the project’s identity including a cohesive concept for presenting the project (logo, promotional material, website and social media accounts.
Design of the overall architecture, selection of the candidate technologies for the implementation of the framework, identification of all expected components from technical WPs and integration plan for the different framework prototypes.
This report describes the first version of the text-processing, sentiment analysis, named-entity and topic-detection technologies and models.
This will document the ethical concerns MIRROR can come across and the way the partners are dealing with these concerns.
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Author(s): Johan Fernquist, Ola Svenonius, Lisa Kaati, Fredrik Johansson
Published in: 2019 European Intelligence and Security Informatics Conference (EISIC), 2019, Page(s) 62-69
Author(s): Marianela Garcia Lozano, Johan Fernquist
Published in: 2019 European Intelligence and Security Informatics Conference (EISIC), 2019, Page(s) 109-116
Author(s): Ashish Sharma, Koustav Rudra, Niloy Ganguly
Published in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019, Page(s) 921-930
Author(s): Marianela García Lozano, Joel Brynielsson, Ulrik Franke, Magnus Rosell, Edward Tjörnhammar, Stefan Varga, Vladimir Vlassov
Published in: Decision Support Systems, Issue 129, 2020, Page(s) 113132, ISSN 0167-9236
Author(s): Koustav Rudra, Pawan Goyal, Niloy Ganguly, Muhammad Imran, Prasenjit Mitra
Published in: IEEE Transactions on Computational Social Systems, Issue 6/5, 2019, Page(s) 981-993, ISSN 2329-924X