Results 31 to 40 of about 3,035 (200)
"I’m Eating a Sandwich in Glasgow": Modeling locations with tweets [PDF]
, 2011 Social media such as Twitter generate large quantities of data about what a person is thinking and doing in a partic- ular location. We leverage this data to build models of locations to improve our understanding of a user’s geographic context ...
Kinsella, Sheila +2 more
core +1 more source
"We can remember it for you": location, memory, and commodification in social networking sites [PDF]
, 2017 This article explores the spatial self through the performative aspects of location sharing and geotagging in the process of self-representation on social networking sites (SNSs).
Ansell-Pearson K. +35 more
core +1 more source
Introduction: Spatial Big Data and everyday life
Big Data & Society, 2016 Spatial Big Data—be this natively geocoded content, geographical metadata, or data that itself refers to spaces and places—has become a pervasive presence in the spaces and practices of everyday life.
Agnieszka Leszczynski, Jeremy Crampton
doaj +1 more source
Aplikasi Rekomendasi Spot Area Wisata Berbasis Android dengan Teknik Geotag
Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi, 2017 Application had by all OTA has an each advantage on search applications, there is show detail location, the advantage which offered by OTA, give an information about reserve date until give a notification when checkin date is now.
M. Mz +2 more
semanticscholar +1 more source
Population Bias in Geotagged Tweets
Proceedings of the International AAAI Conference on Web and Social Media, 2021 Geotagged tweets are an exciting and increasingly popular data source, but like all social media data, they potentially have biases in who are represented. Motivated by this, we investigate the question, 'are users of geotagged tweets randomly distributed over the US population'? We link approximately 144 million geotagged tweets within
Momin Malik +3 more
openaire +1 more source
, 2014 Tagging is one of the defining characteristics of Web 2.0 services and platforms. Tagging techniques allow users to collectively annotate, classify and categorize content. Social tagging systems are a mix of two standards: one based on user actions and other based in the system architecture that defines the rules and the relationship between users and ...
+5 more sources
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages
, 2017 Extracting geographical tags from webpages is a well-motivated application in many domains. In illicit domains with unusual language models, like human trafficking, extracting geotags with both high precision and recall is a challenging problem.
Kapoor, Rahul +2 more
core +1 more source
World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging
Proceedings of the 5th ACM Multimedia Systems Conference, 2014 In this paper, a dataset of geotagged photos on a world-wide scale is presented. The dataset contains a sample of more than 14 million geotagged photos crawled from Flickr with the corresponding metadata. To guarantee the spatial representativeness of the dataset, a crawling approach based on the small-world phenomena and the Flickr friendship's graph ...
Mousselly-Sergieh, Hatem +5 more
openaire +2 more sources
pigeo: A Python Geotagging Tool [PDF]
Proceedings of ACL-2016 System Demonstrations, 2016 We present pigeo, a Python geolocation prediction tool that predicts a location for a given text input or Twitter user. We discuss the design, implementation and application of pigeo, and empirically evaluate it. pigeo is able to geolocate informal text and is a very useful tool for users who require a free and easy-to-use, yet accurate geolocation ...
Afshin Rahimi +2 more
openaire +1 more source