IP geolocation databases: unreliable?

By Ingmar Poese, Steve Uhlig, Mohamed Ali Kâafar, B. Donnet, Bamba Gueye. CCRV, 2011

392 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/2bc06a56916442f2ab0a3a3957046d038955f909

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Anthony Stefanidis
2. Arie Croitoru
3. Jacek R. Radzikowski
4. Andrew T. Crooks

Citations in the corpus

• Harvesting ambient geospatial information from social media feeds (2011, background): “The accuracy of this geolocated information may range from building level all the way to broader neighborhood, or city level, depending in the manner in which it is acquired (see for example, Poese et al. 2011).”
• #Earthquake: Twitter as a Distributed Sensor System (2013, background): “Geolocation information in tweets can be provided directly by the contributing bloggers, if they decide to make this information available, or it can be deduced from IP addresses using any of the IP geolocation solutions (see Eriksson et al. 2010, Poese et al. 2011).”