Computational Intelligence - August 2016 - 10

Leveraging Cross-Domain
Social Media Analytics
to Understand TV
Topics Popularity

Ruggero G. Pensa and Maria Luisa Sapino
Department of Computer Science,
University of Torino, Torino, Italy

Claudio Schifanella and Luca Vignaroli
RAI-CRIT, Torino, Italy

Abstract-The way we watch television is changing
with the introduction of attractive Web activities that
move users away from TV to other media. The social
multimedia and user-generated contents are dramatically
changing all phases of the value chain of contents (production, distribution and consumption). We propose a
concept-level integration framework in which users'
activities on different social media are collectively represented, and possibly enriched with external knowledge,
such as information extracted from the Electronic Program Guides, or available ontological domain knowledge. The integration framework has a knowledge graph
as its core data model. It keeps track of active users, the
television events they talk about, the concepts they mention in their activities, as well as different relationships
existing among them. Temporal relationships are also
captured to enable temporal analysis of the observed
activity. The data model allows different types of analysis
and the definition of global metrics in which the activity
on different media concurs with the measure of success.

T

I. Introduction

he introduction of attractive Web activities that move
users away from television to other media is changing
the way we watch TV. Also the media broadcasting
models are changing in order to cover the TV-Web
convergence. VoD (Video on Demand) and EPGs (Electronic
Program Guides) provided by broadcasters are examples of
services that allow new forms of user navigation within the
television content. At the same time, the popularity of online
social networks has changed the Internet ecosystem, thus
leading to more collaborative environments, reflecting the
structure and dynamics of the society. The social multimedia
and user-generated contents are dramatically changing all
phases of the value chain of contents (production, distribution
and consumption).
For the broadcasters and advertisers, social TV means much
deeper real-time understanding of what viewers think about
shows and the brands that advertise on them. Consequently, it

Digital Object Identifier 10.1109/MCI.2016.2572518
Date of publication: 18 July 2016

10

IEEE Computational intelligence magazine | AUGUST 2016

provides them with data-driven understanding of their
investments in contents. This will be the most significant
change that social TV brings to the TV business. Both the
commissioning and scheduling of TV contents and the
Corresponding Author: Ruggero G. Pensa (Email: ruggero.pensa@unito.it).

1556-603x/16©2016ieee



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