Event detection has been an important task for a long time. When it comes to Twitter, new problems are presented. Twitter data is a huge temporal data flow with much noise and various kinds of topics. Traditional sophisticated methods with a high computational complexity aren’t designed to handle such data flow efficiently. In this paper, we propose a mixture Gaussian model for bursty word extr...

Previous studies have shown that Twitter users have biases to tweet from certain locations (locational bias) and during certain hours (temporal bias). We used three years of geo-located Twitter Data to quantify these biases and test our central hypothesis that Twitter users’ biases are consistent across US cities. Our results suggest that temporal and locational bias of Twitter users are incons...

Finding topic experts on microblogging sites with millions of users, such as Twitter, is a hard and challenging problem. In this thesis, we propose and investigate a new methodology for inferring topical experts in the popular Twitter social network. Our methodology relies on the wisdom of the Twitter crowds – it leverages Twitter Lists, which are often carefully created by individual users to ...

Twitter has within few years become a prominent “backchannel” for televised political debates by making audience reactions visible online. By adding a specific hashtag to their tweets, Twitter users can take part in larger, public conversations about an event, reaching outside their own network of followers and followees to join the “virtual loungeroom” (Harrington, 2012). The # character is us...

Twitter is a cold medium that allows users to deliver content-rich but small packets of information to other users, and provides an opportunity for active and collaborative communication. In an education setting, this social media tool has potential to increase active learning opportunities, and increase student engagement with course content. The effects of Twitter on learning dynamics was tes...

The microblogging site Twitter is now one of the most popular Web destinations. Due to the relative ease of data access, there has been significant research based on Twitter data, ranging from measuring the spread of ideas through society to predicting the behavior of realworld phenomena such as the stock market. Unfortunately, relatively little work has studied the changes in the Twitter ecosy...

Twitter is a free social networking and micro-blogging service that enables its millions of users to send and read each other's "tweets," or short, 140-character messages. The service has more than 190 million registered users and processes about 55 million tweets per day. Useful information about news and geopolitical events lies embedded in the Twitter stream, which embodies, in the aggregate...

In recent years, Twitter has become a valuable source of information regarding the public perception of products, services, and events. Not only have many sport organizations embraced Twitter as a communication mechanism, the public and collaborative nature of Twitter has allowed fans to communicate with and respond to the organizers, as well as with one another. As a result, Twitter represents...

While increasingly used for research, Twitter remains largely untapped as a source of data about housing. We explore the growth of social media and use of Twitter in health and social research, and question why housing researchers have avoided using Twitter to explore housing issues to date. We use the #characterbuildings campaign, initiated by an online media platform in New Zealand in 2014 to...

Twitter is a well known source of information regarding breaking news stories. This aspect of Twitter makes it ideal for identifying events as they happen. However, a key problem with Twitter-driven event detection approaches is that they produce many spurious events, i.e., events that are wrongly detected or simply are of no interest to anyone. In this paper, we examine whether Wikipedia (when...