Kiumars Soltani

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In the past several years, social media (e.g., Twitter and Facebook) has been experiencing a spectacular rise and popularity, and becoming a ubiquitous discourse for content sharing and social networking. With the widespread of mobile devices and location-based services, social media typically allows users to share whereabouts of daily activities (e.g.,(More)
Documentaries are meant to tell a story, that is, to create memory, imagination and sharing (Rose, 2012). Moreover, documentaries aim to lead to change in people's knowledge and/ or behavior (Barrett & Leddy, 2008). How can we know if a documentary has achieved these goals? We report on a research project where we have been developing, applying and(More)
Documentaries are meant to tell a story, i.e. to create memory, imagination and sharing (Rose, 2012). More specifically, the goal with social justice documentaries is to motivate change in people's knowledge and/ or behavior (Barrett & Leddy, 2008). How can we know if a production has achieved these goals? And how early in the life cycle of a film project(More)
• Common Approach and status quo: – Big data: frequency counts of screenings and viewers – Thick data: small-scale, in-depth interviews with focus groups – Science: psychological effects of media on individuals – Strong need for comprehensive, empirical, rigorous impact assessment 3 Our Questions • How can we know if a documentary or media product has what(More)
CyberGIS is an interdisciplinary field combining advanced cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains to improve research productivity and enable scientific breakthroughs. It has emerged as a new-generation GIS that enables synergistic advances in data-driven(More)
Recent studies on human mobility show that human movements are not random and tend to be clustered. In this connection, the movements of Twitter users captured by geo-located tweets were found to follow similar patterns, where a few geographic locations dominate the tweeting activity of individual users. However, little is known about the semantics (landuse(More)
The rapid growth of movement data sources such as GPS traces, traffic networks and social media have provided analysts with the opportunity to explore collective patterns of geographical movements in a nearly real-time fashion. A fast and interactive visualization framework can help analysts to understand these massive and dynamically changing datasets.(More)
Previous studies have shown that Twitter users have biases to tweet from certain locations (locational bias) and during certain hours (temporal bias). We used three years of geo-located Twitter Data to quantify these biases and test our central hypothesis that Twitter users' biases are consistent across US cities. Our results suggest that temporal and(More)