Artificial Intelligence for Virality Analysis on Short-Form Video Platforms: A Taxonomy, Challenges, and Research Agenda

• Sthefany do Socorro Souza da Silva UEA
• Tiago de Melo UEA
• Carlos M. S. Figueiredo UEA
• Israel Gondres Torné UEA

DOI: https://doi.org/10.5753/eniac.2026.29963

Resumo

A popularização de plataformas de vídeos curtos, como TikTok, Instagram Reels e YouTube Shorts, impulsionou o uso de técnicas de Inteligência Artificial para analisar a viralização de conteúdos digitais. Porém, a variedade de abordagens, métricas e definições de viralização ainda dificulta a consolidação do conhecimento na área. Este trabalho apresenta uma revisão exploratória estruturada sobre análise de viralização em plataformas de vídeos curtos e redes sociais correlatas. Os estudos são organizados em uma taxonomia com abordagens textuais, visuais e multimodais, o que permite identificar tendências, limitações e lacunas de pesquisa. A partir dessa análise, discutem-se desafios na definição de viralização, no desbalanceamento de classes e na modelagem multimodal, além de se proporem direções futuras para o avanço da área.

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