Translated Love is an original song featuring the most languages on the same track in the history of music.
2,287,338 video views with small budget. Find out how we did it!
Translated.net has been helping people from the most distant and diverse populations and countries to communicate and understand one another since 1999. Love is a universal feeling that transcends languages and creates bridges between people. Through love we can live as one. Translated Love was born from both the need to understand one another and the need for love.
38 different languages (and voices) in a single song. Having composed the music and lyrics, we brought together about 100 of our translators to create the multilingual version of the text. We then emailed about 10,000 translators, inviting them to add their voices to our project. From the many recorded voices from different parts of the world, 38 were selected, each from a different geographical area. The various voice clips were then combined and aligned in the recording studio to obtain the final vocal track. In some cases the voices were also modified syllable by syllable using an audio modulation technique, as some translators chose to speak rather than sing.
For the video we chose hundreds of clips shot around the world and purchased the footage that suited the story we had created, with a particular focus on videos that showed people dancing. Finally, we stitched the clips together, synchronising and color correcting them, a cinematic technique that allows for a uniform color scheme throughout the video.
Psychological profiling of internet users and artificial intelligence have recently been exploited for several controversial purposes, including promoting Brexit and Trump's successful election by inciting fear and hatred.
Two big data analytics companies (Cambridge Analytica and AggregateIQ) have garnered attention for the persuasive techniques used to effectively influence voters, having designed communication strategies based on users' psychological profiles derived from data related to their online behavior.
Under the guidance of Robert Mercer, already a pioneer in the field of artificial intelligence, these strategies were based on the Big Five Theory, which reduces human personality to five character traits, and on studies from psychologist Michal Kosinski, who has developed a method for determining a precise psychological profile by analyzing a user's activity on Facebook.
We used similar techniques to promote a message of love and peace, going beyond geographical boundaries.
We created several posts using different text and thumbnails to promote the video, linking each to one of the character traits identified in the Big Five Theory. We validated the post/character trait association by testing 100 individuals, then publishing the posts on different social networks. On Facebook, for example, we used the profiling tools provided by the ad management system to associate the user classes with OCEAN character traits, defining an audience for each of the five posts listed below:
The posts were translated into multiple languages and published on Facebook.
The current number of video views on Facebook is: 2,287,338