The developing convergence of Artificial Intelligence and GIScience has raised a concern on the emergence of deep fake geography and its potentials in transforming human perception of the geographic world. Situating fake geography under the context of modern cartography and GIScience, this paper presents an empirical study to dissect the algorithmic mechanism of falsifying satellite images with non-existent landscape features. To demonstrate our pioneering attempt at deep fake detection, a robust approach is then proposed and evaluated. Our proactive study warns of the emergence and proliferation of deep fakes in geography just as “lies” in maps. We suggest timely detections of deep fakes in geospatial data and proper coping strategies when necessary. More importantly, it is encouraged to cultivate a critical geospatial data literacy and thus to understand the multi-faceted impacts of deep fake geography on individuals and human society.

The accelerated proliferation of geographic information systems (GIS), especially in the last decade, has greatly expanded the connotation of GIS technology from primarily a diverse suite of digital objects, representations, and devices that create or make use of geographical information to a mediated means with which we humans experience, explore, or make sense of the world. The research perspective of humanistic GIS is proposed to better encompass the expanded category of GIS technology as well as the opportunities and challenges that go with it. Deeply rooted in humanistic geography, humanistic GIS offers a coherent and systematic framework that integrates existing fragmented humanism-related GIS studies and reorients the epistemological foundation by situating GIS in its mediation of human experience. This epistemological configuration not only categorizes GIS through its embodiment, hermeneutic, autonomous, and background relations with the involved human and place but it also provides an analytical structure for examining the intertwined implications of a particular instantiation of GIS. This newly proposed humanistic perspective demonstrates a sincere quest to develop and use GIS in ways that will be more empathetic and better for humanity. Through this article, both the GIS and geography communities are called on to envision a humanistic pathway for the next chapter of GIS.

Black communities in the United States have been disproportionately affected by the COVID-19 pandemic; however, few empirical studies have been conducted to examine the conditions of Black-owned businesses in the United States during this challenging time. In this article, we assess the circumstances of Black-owned restaurants during the entire year of 2020 through a longitudinal quantitative analysis of restaurant patronage. Using multiple sources of geospatial big data, the analysis reveals that most Black-owned restaurants in this study are disproportionately affected by the COVID-19 pandemic among different cities in the United States over time. The finding reveals the need for a more in-depth understanding of Black-owned restaurants’ situations during the pandemic and further indicates the significance of carrying out place-based relief strategies. Our findings also urge big tech companies to improve existing Black-owned business campaigns to enable sustainable support. As the first to systematically examine the racialization of locational information, this article implies that geographic information systems (GIS) development should not be detached from human experience, especially that of minorities. A humanistic rewiring of GIS is envisioned to achieve a more racially equitable world.