27 Oct Autonomous evolving advertising
Is it possible for advertising to evolve without human intervention? Today I was having a great coffee break discussion with Domino Joyce and James Gilbert about student classes and evolution experiments. We moved on to whether it is possible to evolve Twitter clickbait? Why would you even want to? Well it might make for an interesting student project to understand the conditions controlling evolution in populations. Here’s the idea
Set up a dedicated Twitter account
Create a script to tweet headlines and links scraped from any celebrity press or tabloids with sensationalist sounding soundbites.
Harvest all tweets from a list of tweetbait accounts. Create a tweetbait corpus.
Use the corpus to create synthetic tweets “evotweets” and allow to these evolve as described.
Tweet 90% standard clickbait and 10% evotweets.
- The reason for 90% normal tweets is that otherwise people associate the account with nothing relevant when clicked through and stop following or clicking. But 90% junk will hopefully keep them going.
- Use stats of clicks on evotweets to determine evotweet frequencies in the next generation
- Implement recombination and possibly mutation on evotweets as they “breed” the next generation.
- Track evolution and adaptation.
- Do the numbers of clicks/subscriber change with time? Is this adaptation?
- Will Kardashian sweep to fixation? Is this population size dependant?
- Will surrealism or reality of tweet language dominate?