innovation as a vector for change for public service broadcasters … · 2017. 6. 12. ·...

Innovation as a Vector for Change for Public Service Broadcasters –The Big Data Project at RTBF

EUROPEAN ASSOCIATION SUMMIT – 30 MAY 2017 1

Jean-Paul PHILIPPOT

General Administrator of RTBFPresident of EBU

A changing ecosystem

2

1885

First 50-second

films

The Lumière

Brothers

EUROPEAN ASSOCIATION SUMMIT – 30 MAY 2017

3EUROPEAN ASSOCIATION SUMMIT – 30 MAY 2017

PRESENTATION PLAN

Innovation in Public Service Media

Technology

Contents

European cooperation projects

Big Data at RTBF


TECHNOLOGY CHALLENGE AREAS IDENTIFIED BY EBU

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USER EXPERIENCE

DISTRIBUTION

MULTIPLATFORM PRODUCTION WORKFLOWS

DATA

CLOUD AND IP INFRASTRUCTURES

MEDIA CYBER SECURITY


CONTENT INNOVATION


Share ideas with the audience (BBC)

Transmedia experience (RTVE)

Virtual reality (Yle, France Télévisions)

Chatbots (RTBF)

El Ministerio del Tiempo (RTVE)

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Fully transmedia experience

First-ever (worldwide) series episode in virtual reality

Creativity on social media: users can solve cases related to the series on Instagram and WhatsApp


Virtual Reality by Yle (Finnish Public Broadcaster) and France Télévisions


…TO MEDIAROAD

Media Road


Driving force of a European

Media Ecosystem

for Innovation

Promoting and sharing technology

advances

Developing joint policy positions

proactively

Networking more effectively to

exchange expertise

Forming new partnerships with key

actors

Bridging the gaps between technology and creative players

Funded by EU Horizon 2020

September 2017-September 2019

Coordination and Support ActionFacilitate research and

policy exchange and support R&D activities

Coordinate key stakeholders within the converging media sector, organize scientific and policy events and disseminate results

BIG DATA AT RTBF

Address the challenges of modernity while remaining true to the values of public service


Algorithms play a role in building trust

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Personalization ≠ restrictive information silo

With too much personalization

key information may be missing

Alternative viewpoints may be absent

Privacy may be threatened


5 rules to make algorithms more ethical

Avoid discrimination

Promote gender equity

Open up customers’ minds (exploration) rather than trapping them (exploitation)

Respect right of not being tracked

Educate users on algorithms


What we do concretely at RTBF

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Design of recommendation systems follow ethical rules

Data scientists not left alone : functional specifications describe what is acceptable

Personalization will follow the concept of deliberative democracy

Focus on exploration and discovery (≠ filter bubble)


What we do concretely at RTBF

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Recommendation systems should allow for:

Autonomy and choice

Information quality and debate

Respect of minorities and marginalised groups

Gender equity

Promotion of real alternative viewpoints


CONCLUSION

Media consumption more and more digital : gaining online trust is key ; algorithms are instrumental

Recommendation algorithms are not neutral design them carefully and ethically

Public Service Medias have a major role to play to educate users on the role of algorithms


THANK YOU FOR YOUR ATTENTION


innovation as a vector for change for public service broadcasters … · 2017. 6. 12. ·...

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