The field of data visualization is moving towards a more nuanced understanding of how visualizations communicate meaning beyond just the data they represent. Researchers are exploring the socio-indexical function of visualization, which refers to the ways in which visualizations evoke social contexts, identities, and characteristics. This includes the study of how design features, such as color and layout, can influence the viewer's perception of the data and the entity that produced it. Another area of focus is the development of new methods and tools for creating and evaluating visualizations, including the use of decision theory and ethnographically-informed interviews. Noteworthy papers in this area include: Quantifying Visualization Vibes: Measuring Socio-Indexicality at Scale, which presents an analytic framework for describing inferences about an artifact's social provenance. Designing for Disclosure in Data Visualizations, which contributes a taxonomy of disclosure tactics and demonstrates its benefits in guiding reasoning in design scenarios.