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White papers

Tristan Harris’  is a former Design Ethicist at Google. He became a world expert on ethical issues in Technology
and founded Time Well Spent, an NGO raising awareness on digital addictions, in 2013.


The statement he made in May at VivaTech created some debate in the Tech & Media industry:

Personalization is broken. If you click on a 9/11 video you’ll get a bunch of videos about conspiracy

theories straight after. How can we improve that?

Thibault d’Orso, co-founder of Spideo, decided to write a white paper on this topic.  He ran an experiment with
the girls of BECOMTECH‘s program #JumpInTech with YouTube’s personalization technology to get feedback. This 
whitepaper explores their findings and solutions to the personalization problem.


Download the whitepaper here:

Personalization is broken – Spideo Oct 2018

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White papers
As we face a growing climate of mistrust towards the use of personal data, most notably with the Cambridge Analytica scandal, and with the GDPR coming into effect in May, Spideo would like to reaffirm its longstanding commitment to data privacy and protection. 
Please take a look at our white paper covering data protection and if you would like to discuss it further, you can still book a meeting with us at the NAB show, where we will exhibiting from April 9 to 12.

Our white paper: Data Protection for Recommendation Engines: Obstacle or Opportunity? 
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White papers

“Trump’s unexpected election on November 8th 2016 highlighted the perverse results of the echo chamber phenomenon: news coming from social media match what you already believe in and flatter your opinion, leading groups of citizens to think the same way and giving them no contradiction. In this way Facebook – among others – is being blamed for its algorithms that do not allow the users to encounter new ideas or topics that they didn’t specifically select. In other words, a personalized recommendation system requiring a lot of data with no room left for serendipity. In this context, the data craftsmen have a role to play. Who are they, and why should we prefer this term instead of the over-used term “data scientist”? How is data craftsmanship the key to escape the hazardous echo chambers?”


Keep reading our full white paper on Eyzmedia’s Tech Blog

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