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More than 6 million VKontakte profiles were analyzed to figure out what the company’s target audience is. For a better understanding of the potential customer, we studied personal priorities, their sources of inspiration, the important things in their lives and their views on alcohol and smoking. We also identified opinion leaders, social groups, and HORECA companies that could be used for promotional purposes.
More than 5 million profiles of Russian-speaking users were studied. We analyzed the distribution of users by age and gender, cities and regions, number of friends and group membership. You can read the full report in this NATO StratCom publication.
In research into the effects of banning VKontakte in Ukraine, we used clustering in our analysis of post topics. This helped us conclude that ‘Pro-Russian propaganda’ notably increased while the share of ‘Ukrainian news’ decreased.
In NATO StratCom research on the virtual Russian world of the Baltics, we analyzed more than 92 million posts and millions of user profiles. Based on a cluster analysis of user profiles, it was possible to identify four types of ideological users: Writers, Distributors, Readers, and Members of the Active Reserve. As a result, we managed to study them more accurately.
In research conducted with Internews Ukraine on the Ukrainian presidential elections, our script determined 152 topic clusters in more than 9K texts. Thanks to clustering analysis, we identified 40 users who exhibited strange activity on VKontakte and appeared to be social bots.
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