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Sensing User Generated Input for Improved Media Discovery and Experience

Project description


Networked Media and Search Systems
Enhanced discovery, analysis, retrieval of newsworthy and high-quality content in social media sources to assist news, event professionals to improve the experience of news readers and event goers.

SocialSensor offers technologies for analyzing the activity in social networks with the goal of discovering trending and high-quality content, identifying influencers, sentiment around discussed topics, and establishing links between different online sources. In addition, the project creates new means of retrieving, delivering and presenting media content and information in easily digestible ways and in mobile settings.


The project leverages social networks and user-generated content in two use cases: news and large events. For news, SocialSensor helps journalists and editors quickly discover and validate newsworthy user-generated content and to better understand the trends and public sentiment. It also offers casual readers a serendipitous means of finding online news.

In the case of large events, SocialSensor enhances the experience of event goers with powerful mobile services and supports event organizers for grasping the pulse of their events and leveraging social content and interactions around it.

SocialSensor will develop a new framework for enabling real-time multimedia indexing and search in the Social Web. The project will move beyond conventional text-based indexing and retrieval models by mining and aggregating user inputs and content over multiple social networking sites. Social Indexing will incorporate information about the structure and activity of the users' social network directly into the multimedia analysis and search process. Furthermore, it will enhance the multimedia consumption experience by developing novel user-centric media visualization and browsing paradigms. For example, SocialSensor will analyse the dynamic and massive user contributions in order to extract unbiased trending topics and events and will use social connections for improved recommendations.
To achieve its objectives, SocialSensor introduces the concept of Dynamic Social COntainers (DySCOs), a new layer of online multimedia content organisation with particular emphasis on the real-time, social and contextual nature of content and information consumption. Through the proposed DySCO-centered media search, SocialSensor will integrate social content mining, search and intelligent presentation in a personalized, context and network-aware way, based on aggregation and indexing of both UGC and multimedia Web content.
The resulting multimedia search system will be showcased and evaluated in two use cases: (a) news, involving professional news editors, journalists and casual readers, benefiting from the improved capabilities of SocialSensor for discovering new interesting social content and integrating it in the news creation and delivery lifecycle, and (b) infotainment, providing new multimedia search tools and unique media consumption experiences to attendants of large events (e.g. festivals). Providing real-time social indexing capabilities for both of these use cases is expected to have a transformational impact on both sectors.

Fields of science

Programme(s)

Topic(s)

Call for proposal

FP7-ICT-2011-7
See other projects for this call

Funding Scheme

CP - Collaborative project (generic)

Coordinator

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Address
Charilaou thermi road 6 km
57001 Thermi thessaloniki
Greece

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Region
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Activity type
Research Organisations
Administrative Contact
Ioannis Kompatsiaris (Dr.)
Links
EU contribution
€ 1 224 156,00

Participants (11)

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Last update: 5 April 2023

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Permalink: https://cordis.europa.eu/project/id/287975

European Union, 2023