Dissemination intelligence information on social media

Social media platforms, as complex socio-technical ecosystems, have reshaped the way individuals access, share, and interpret information. The interplay of diverse users, rapid content flow, and intricate network structures exemplifies the complexity science domain, where dynamic interactions give rise to emergent patterns of influence and opinion formation. In this perspective, we review three key areas of intelligent information dissemination on social media: 1) rumor and fake news detection, 2) competitive dissemination, and 3) the identification of influential nodes. We highlight recent advancements that leverage complexity-aware models, graph-based algorithms, and deep learning techniques to manage content credibility and guide the spread of verified information. Finally, we propose future research directions that bridge theory and practice, ultimately contributing to a more informed, reliable, and adaptive digital information ecosystem.