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AI Versus

basics
Industry: Corporate self-promo
Media:Cyber
Style: Minimalism
descriptioncnen
Why is this work relevant for Creative Data?

Machine Learning and Word Embeddings technology was used to reveal the difference between propaganda and news. Two AIs were “brought up” by a state and an independent TV-channels for 6 months. Then they were taught to answer questions about Russia, but only using the data they “had learned” while watching news programs of those channels.

Background

Russia’s media channels are subordinated to the government. They always present the news in the way that is beneficial to the government. They are completely “pro-Putin” and know how to brainwash people’s heads. There is a channel that is opposed to them; it is not financed by the government and doesn’t take instructions from anyone, so it can tell about things that are hushed up by the federal channels.
Obviously, the content, vocabulary and manner of news representation is very different. The worldview of a person who watches a different channel is different too.
The goal of the campaign was to increase awareness of the independent channel. It was also to reveal a deep mental problem of information environment as the crucial factor influencing people’s minds.

Describe the idea/data solution (20% of vote)

With Google Speech-to-Text service and Word Embeddings technology the trained neural networks could identify the language of TV programs, recognize words and break texts into paragraphs. Then they were taught to choose relevant questions. The AIs are childlike, immature minds who don’t have all answers – only those they can compose from the content they “consumed” for 6 months.
As a result, two pure and pristine AIs were created; they are like twins, but with no experience and no outside factors influencing their outlook. The two systems were given a task to “watch” daily news. Then the AIs were taught to answer any questions about political, economic and social life of Russia. Asking a question, a person becomes a participant of the experiment, because the result is unpredictable and it depends on how a question was asked. It provoked interaction between users and the AIs. People were also eager to share the results of communication on social media, it led to many reactions and posts.

Describe the data driven strategy (30% of vote)

The chosen strategy was targeted at politically active people interested in obtaining true information. They actively use social networks and live in metropolitan cities. There’s no use in trying to impose an opinion on them, as they are intolerant towards direct advertising. They are used to making choices, comparing and experimenting on their own. That’s why they were offered to participate in an experiment that would show how a worldview is formed depending on the information environment. Asking a question, a person becomes a participant of the experiment, because the result is unpredictable and it depends on how a question was asked.

Describe the creative use of data, or how the data enhanced the creative output (30% of vote)

A mix of innovative technologies (Google Speech-to-Text, Trained Neural Network, Question Answering Model (Q&A), ODQA, Word Embeddings) helped AIs absorb terabits of information. After 6 months, they could answer any questions. But only using the knowledge and vocabulary of the programs they had watched. Using the website interface, everybody can ask a question to the AIs and get answers from them or read related answers. Also, one can vote for the system he/she likes more.

List the data driven results (20% of vote)

The story rocketed around the Internet and media.
In one week
14 048 080 media impressions
193 427 visitors
93% voters favored TV Rain's AI
credit
Brand:
Agency:
Creative Director:
Copywriter:
Production Company:
Producer:
Other credit:Chief Digital Officer: Dmitry Maslakov
Digital Art Director: Anna Maslyakova
CTO: Vasiliy Tsykin
Motion Designer: Liliya Zagidullina
Director of Creative Technology: Viktor Shkurba
Head of Development: Andrew Sergeyev
Head of Data & Analytics: Svitlana Taborskykh
Creative Technology Head: Andrii Mishchenko
UX & Strategy Head: Michael Traverse
Creative Technologists: Kateryna Malashok, Dmytro Yatsyna
CTO: Mykola Slobodian
Lead Architect: Oleksandr Bushkovskyi
Data Scientists: Illia Vasylevskyi, Andrii Shokotko
Project Manager: Oleksii Shevchuk
awards
Cannes Lions International Festival of Creativity 2019
Bronze Creative Data
Data Storytelling
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