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Articles 1 - 10 of 10
Full-Text Articles in Spatial Science
Centering Transgender Consumers In Conceptualizations Of Marketplace Marginalization And Digital Spaces, Beck Hansman, Jenna Drenten Ph.D.
Centering Transgender Consumers In Conceptualizations Of Marketplace Marginalization And Digital Spaces, Beck Hansman, Jenna Drenten Ph.D.
School of Business: Faculty Publications and Other Works
The purpose of this study is to center transgender consumers in the conceptualizations between marketplace marginalization and digital spaces. We examine trans-gender crowdfunding as a hashtag-bounded digital space created by and for the transgender community–namely, the #TransCrowdFund digital space on Twitter. We draw on trans digital geographies as a novel analytical lens to focus attention on transgender consumers' unique experiences in and between digital spaces. Through qualitative hashtag mapping, we analyzed a sample of 200 Twitter profiles and accompanying tweets drawn from individuals using the#TransCrowdFund hashtag. Findings suggest transgender consumers utilize crowdfunding as a hashtag-bounded digital space in three ways: …
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
Levente Juhasz
Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
Levente Juhasz
Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair
GIS Center
Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz
GIS Center
Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …
Twitter Use In Hurricane Isaac And Its Implications To Disaster Resilience, Kejin Wang
Twitter Use In Hurricane Isaac And Its Implications To Disaster Resilience, Kejin Wang
LSU Master's Theses
Disaster Resilience is the capacity of a community to ‘bounce back’ from disastrous events. Most studies rely on traditional data such as census data to study community resilience. With the advent of social media era, the new data source gives us an opportunity to explore the application of Twitter data to better understand disaster resilience. A research question is: does Twitter use correlate with disaster resilience? In other words, will communities with more Twitter users be more resilient to disasters, presumably because they are more likely to be better informed? The underlying issue is that if there are social and …
@Yourlocation: A Spatial Analysis Of Geotagged Tweets In The Us, Ocean Mckinney
@Yourlocation: A Spatial Analysis Of Geotagged Tweets In The Us, Ocean Mckinney
CMC Senior Theses
This project examines the spatial network properties observable from geo-located tweet data. Conventional exploration examines characteristics of a variety of network attributes, but few employ spatial edge correlations in their analysis. Recent studies have demonstrated the improvements that these correlations contribute to drawing conclusions about network structure. This thesis expands upon social network research utilizing spatial edge correlations and presents processing and formatting techniques for JSON (JavaScript Object Notation) data.
Temporal And Spatiotemporal Investigation Of Tourist Attraction Visit Sentiment On Twitter, Jose J. Padilla, Hamdi Kavak, Christopher J. Lynch, Ross J. Gore, Saikou Y. Diallo
Temporal And Spatiotemporal Investigation Of Tourist Attraction Visit Sentiment On Twitter, Jose J. Padilla, Hamdi Kavak, Christopher J. Lynch, Ross J. Gore, Saikou Y. Diallo
VMASC Publications
In this paper, we propose a sentiment-based approach to investigate the temporal and spatiotemporal effects on tourists' emotions when visiting a city's tourist destinations. Our approach consists of four steps: data collection and preprocessing from social media; visitor origin identification; visit sentiment identification; and temporal and spatiotemporal analysis. The temporal and spatiotemporal dimensions include day of the year, season of the year, day of the week, location sentiment progression, enjoyment measure, and multi-location sentiment progression. We apply this approach to the city of Chicago using over eight million tweets. Results show that seasonal weather, as well as special days and …
The Billion Object Platform (Bop): A System To Lower Barriers To Support Big, Streaming, Spatio-Temporal Data Sources, Devika Kakkar, Ben Lewis, David Smiley, Ariel Nunez
The Billion Object Platform (Bop): A System To Lower Barriers To Support Big, Streaming, Spatio-Temporal Data Sources, Devika Kakkar, Ben Lewis, David Smiley, Ariel Nunez
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
With funding from the Sloan Foundation and Harvard Dataverse, the Harvard Center for Geographic Analysis (CGA) has developed a big spatio-temporal data visualization platform called the Billion Object Platform or "BOP". The goal of the project is to lower barriers for scholars who wish to access large, streaming, spatio-temporal datasets. Since once archived, streaming data gets big fast, and since most GIS systems don't support interactive visualization of millions of objects, a new platform was needed. The BOP is loaded with the latest billion geo-tweets and is fed a real-time stream of about 1 million tweets per day. The CGA …
Analysis Of The Geosocial Landscape In The City Of Toronto, Courtney J. Jones
Analysis Of The Geosocial Landscape In The City Of Toronto, Courtney J. Jones
Theses and Dissertations (Comprehensive)
Microblogging on geosocial platforms is a popular form of online communication where users post information about their daily lives and challenges. Since the launch of Twitter in 2006, information sharing through social media has become a largely unused data repository. Tweets often convey content about the users sentiment as it is happening. As such, Tweets can be viewed as a proxy of public mood. In this thesis, I performed a sentiment analysis of all public geo-located Tweets posted by a variety of Twitter users between September 2013 and October 2014. Each Tweet was processed through a custom algorithm to extract …