How Cobwebs Helps Authorities to Manage Social Distancing During a Pandemic with Location Intelligence
enero 18, 2021
Since March 2020, governments worldwide are struggling with policies to keep the COVID-19 pandemic contained. One of the policies that have proven to be effective (also during previous pandemics) is social distancing. To be effective, government agencies need to collaborate to manage social distancing throughout the country.
To find out if social distancing is kept and effective, government agencies need to collect, process, and analyze open-source data from online sources such as social media platforms to get actionable insights. This is crucial for keeping a watchful eye on relevant local hot spots over a long time. But collecting and analyzing these huge amounts of data is time-consuming and requires a lot of manpower – a luxury that government agencies just don’t have.
That’s why an AI-powered smart solution is needed that can keep a watchful eye on and provide a global view of not only local emergencies but also global ones like the COVID-19 pandemic. Such a solution can harvest relevant and/or location-based discussions and sift through vast data amounts to extract relevant mentions that can be used for optimal response to e.g., the COVID-19 pandemic and other crises and emergencies. Such a system must constantly evaluate information sources, follow social media content on a wide range of pages, including comments and real-time posts and feeds on multiple web platforms. Furthermore, the search results must be presented in a geographically relevant way – ideally on an easy-to-use interactive map.
That’s why government agencies need a location intelligence system that can collect, process, analyze, and present geospatial data for public safety, such as social distancing. The Webloc solution of Cobwebs is able to use geolocated intelligence derived from enormous amounts of location-based data in the complex web ecosystem. This cutting-edge location solution automatically reveals and analyzes location-based data using interactive maps. It is able to find and extract location-based intelligence and provide actionable insights from masses of hidden and complex data signals. By connecting open-source web data with live and real-world information, it provides authorities with comprehensive intelligence to address the issue of social distancing.
The geospatial intelligence platform reveals real-world insights about locations, people, and data related to social distancing. Our unique capabilities contribute to public protection by automatically analyzing location-based information, enabling the production and dissemination of intelligence, and contributing to investigative reports. Webloc is designed to meticulously race through and scan endless digital channels in the web ecosystem, collecting and analyzing huge amounts of location-based data to help authorities getting insight into the status and effect of social distancing. In short, Webloc is a cutting-edge location-centric solution that provides access to vast amounts of location-based data in any specified geographic location.
It harvests relevant or location-based discussions, sifts through vast data, and extracts pertinent mentions that can yield optimal response to e.g., social distancing. By constantly evaluating information sources and following social media content from a wide range of pages, it generates and presents geographically representative search results, also by accessing real-time feeds on multiple social media platforms. In other words, Webloc utilized innovative, cost-effective, and comprehensive technologies to provide a critical solution for handling COVID-19 policies such as social distancing.
In general, WebLoc reveals real-world threats to public safety using non-intrusive methods enabling law enforcement and national security agencies to benefit from geolocated intelligence to prevent isolation and social distancing violations. Analyzing publicly available big web data, Webloc is designed to meticulously race through and scan endless digital channels from the web ecosystem, generating effective intelligence for follow-up.