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Full-Text Articles in Geography
#Makeamericaspollsgreatagain: Evaluating Twitter As A Tool To Predict Election Outcomes, Jaryd Hinch
#Makeamericaspollsgreatagain: Evaluating Twitter As A Tool To Predict Election Outcomes, Jaryd Hinch
The Geographical Bulletin
Traditional political polling methods have become less reliable as society adopts more smartphone technology. Internet and social media use have also risen due to increased smartphone use, which have given a digital voice to political views. This study assessed one social media platform, Twitter, as a means for predicting election outcomes more accurately than traditional methods. Michigan and Wisconsin’s ‘tweets’ related to the 2016 presidential election campaign slogans of candidates Hillary Clinton and Donald Trump were compiled and a numerical comparison was performed. WordCloud technology was employed for a visual representation of the numerical data. Numerical comparison yielded results and …
How Does Socio-Economic And Demographic Dissimilarity Determine Physical And Virtual Segregation?, Michael Dorman, Tal Svoray, Itai Kloog
How Does Socio-Economic And Demographic Dissimilarity Determine Physical And Virtual Segregation?, Michael Dorman, Tal Svoray, Itai Kloog
Journal of Spatial Information Science
It is established that socio-economic and demographic dissimilarities between populations are determinants of spatial segregation. However, the understanding of how such dissimilarities translate into actual segregation is limited. We propose a novel network-analysis approach to comprehensively study the determinants of communicative and mobility-related spatial segregation, using geo-tagged Twitter data. We constructed weighted spatial networks representing tie strength between geographical areas, then modeled tie formation as a function of socio-economic and demographic dissimilarity between areas. Physical and virtual tie formation were affected by income, age, and race differences, although these effects were smaller by an order of magnitude than the geographical …
Twitter Location (Sometimes) Matters: Exploring The Relationship Between Georeferenced Tweet Content And Nearby Feature Classes, Stefan Hahmann, Ross S. Purves, Dirk Burghardt
Twitter Location (Sometimes) Matters: Exploring The Relationship Between Georeferenced Tweet Content And Nearby Feature Classes, Stefan Hahmann, Ross S. Purves, Dirk Burghardt
Journal of Spatial Information Science
In this paper, we investigate whether microblogging texts (tweets) produced on mobile devices are related to the geographical locations where they were posted. For this purpose, we correlate tweet topics to areas. In doing so, classified points of interest from OpenStreetMap serve as validation points. We adopted the classification and geolocation of these points to correlate with tweet content by means of manual, supervised, and unsupervised machine learning approaches. Evaluation showed the manual classification approach to be highest quality, followed by the supervised method, and that the unsupervised classification was of low quality. We found that the degree to which …