Making Sense of Cities Using Social Media: Requirements for Hyper-Local Data Aggregation Tools

Raz Schwartz · Mor Naaman · Ziad Matni

10 citations0/0 files storedProceedings of the International AAAI Conference on Web and Social Media

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Human Mobility and Location-Based Analysis Geographic Information Systems Studies Smart Cities and Technologies

Abstract

As more people tweet, check-in and share pictures and videos of their daily experiences in the city, new opportunities arise to understand urban activity. When aggregated, these data can uncover invaluable local insights for local stakeholders such as journalists, first responders and city officials. To better understand the needs and requirements for this kind of aggregation tools, we perform an exploratory study that includes interviews with 12 domain experts that utilize local information on a daily basis. Our results shed light on current practices, existing tools and unfulfilled needs of these professionals. We use these findings to discuss the requirements for hyper-local social media data aggregation tools for the study of cities on a large scale. We outline a list of key features that can better serve the discovery of patterns and insights about both real-time activity and historical perspectives of local communities. As more people tweet, check-in and share pictures and videos of their daily experiences in the city, new opportunities arise to understand urban activity. When aggregated, these data can uncover invaluable local insights for local stakeholders such as journalists, first responders and city officials. To better understand the needs and requirements for this kind of aggregation tools, we perform an exploratory study that includes interviews with 12 domain experts that utilize local information on a daily basis. Our results shed light on current practices, existing tools and unfulfilled needs of these professionals. We use these findings to discuss the requirements for hyper-local social media data aggregation tools for the study of cities on a large scale. We outline a list of key features that can better serve the discovery of patterns and insights about both real-time activity and historical perspectives of local communities.

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2008Understanding individual human mobility patterns 1988Groupware: Computer Support for Business Teams 2009Mapping the world's photos 1996Modeling the Information Seeking of Professionals: A General Model Derived from Research on Engineers, Health Care Professionals, and Lawyers 2021Exploring Millions of Footprints in Location Sharing Services 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City 2009Understanding individual human mobility patterns 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events

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2017Online city-scale hyper-local event detection via analysis of social media and human mobility

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