Detecting Non-personal and Spam Users on Geo-tagged Twitter Network
Deals with the problem of spam and non-personal accounts having unwanted effects on the results of geo-tagged twitter account research. It also discusses how to deal with these problems through programs or manually reading the tweet.
Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb
Study talked about the problem of the data collection limits of geo-tagged tweets have. Along with the fact they must opt in, can be grossly effected by small populations, and has a lack of quality data from the sources.
Geo-tagged Twitter collection and visualization system
Showed the different ways to collect data from geo-tagged tweets. From using the Streaming which gives unlimited amounts of tweets in a set area. To search which limits it’s numbers to one thousand and has the ability to search the tweets for certain key words entered and are also limited to a certain area. Not to mention their own way to collect digital tweets which uses search but cuts it down into grids and does the process through multiple servers and would monitor cells that had a certain number of tweets.
The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place
Shows how to use geo-tagged tweets to draw conclusions on certain peoples views, life, and happiness with some extra models to plot the twitter data accordingly.