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Information × Registration Number 2120U007887, Article popup.category Препринт Title Meme Generation for Social Media Audience Engagement (AI translated) popup.author Kurochkin AndrewKurochkin Andrew popup.publication 01-01-2020 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/2050 popup.publisher Description In digital marketing, memes have become an attractive tool for engaging an online audience. Memes have an impact on buyers and sellers online behavior and information spreading processes. Thus, the technology of generating memes is a significant tool for social media engagement. In this study, we collected new memes dataset of 650K meme instances, applied state of the art Deep Learning technique - GPT-2 model [1] towards meme generation, and compared machine-generated memes with human-created. We justified that MTurk workers can be used for the approximate estimating of users’ behavior in a social network, more precisely to measure engagement. Generated memes cause the same engagement as human memes, which didn’t collect engagement in the social network (historically). Still, generated memes are less engaging then random memes created by humans. popup.nrat_date 2025-11-05 Close