By examining social media interactions, the analysis that is presented in this article reveals how hashtags are adeptly used to reframe the lithium mining issue, embedding it within wider narratives. The article investigates narratives surrounding lithium mining protests in Serbia, using digital ethnography and narrative analysis to study the discourse of ecology activists on the social platform X (formerly known as Twitter). It illuminates the fluid, rhizomatic, and puzzle-like nature of hashtags that helps to achieve online visibility, mobilize audiences for street protests, and appear as narrative building blocks. Hashtags operate as algorithmic signifiers that create additional layers of meaning and fine-tune narratives toward either the left or right side of the political spectrum. This article focuses on how activists use hashtags not just as tools for categorizing content but also as essential components in shaping their narratives. This approach reveals the dynamic engagement of a broad political spectrum in the lithium mining debate, forging connections between different actors. The analysis demonstrates how interconnected hashtags modulate the narratives so that they can transgress from the right to the left side of the political spectrum, indicating that lithium mining is a global rather than a local problem.

GLOBALink, a large online network of tobacco control professionals, was active in the promotion of the World Health Organization's Framework Convention on Tobacco Control treaty, an international treaty aimed at reducing the global burden of tobacco-related death and disease. We examined and compared the roles that different countries served in the GLOBALink community during FCTC negotiation and ratification. Previous studies of FCTC ratification found the process adhered to a diffusion of innovation model (Valente et al., 2015). We followed that work by conducting content analyses of discussion messages posted by GLOBALink members representing different countries. Based on the time when they ratified the FCTC, each country was labeled by one of the four adoption stages of the diffusion model and we investigated the amount of shared word use between the different stages. A goodness-of-fit chi-squared test indicated that content was not shared in an expected manner between stages (χ2 = 11,856.45, N = 51,447, p < 0.001). A deeper look at the specific words shared between countries within and between adoption stages provided insight into how interactions between certain countries might have served to support the ratification process.