The Miss Franchising Competition is a special BEBOSS event during which franchisors submitted their female employees to the contest. We created a separate section for this contest, and the users of the BEBOSS portal were able to vote in favor of each contestant by reposting in social nets. Each girl had a personal page with her photos, short video, and story.
Using the API of the VK and Facebook social nets, we analyzed the number of votes for each contestant. The developed an algorithm with implemented machine learning methods that gave us the possibility to differentiate between fake and real repots. The contest gathered more than 20 000 reposts in the social nets, and the audience coverage surpassed 2.5 million people.