Twitter named entity recognition is the process of identifying proper names and classifying them into some predefined labels/categories. The paper introduces a Twitter named entity system using a supervised machine learning approach, namely Conditional Random Fields. A large set of different features was developed and the system was trained using these. The Twitter named entity task can be divi...

News reports of assisted dying can trigger individuals to end their own lives. Social media is unaccountable to guidelines on reporting suicides. Radian6 social media analysis software was used to explore whether Twitter messages breached guidelines on reporting assisted dying more often than formal online news. Tweets and online news were compared by how frequently “assisted dying” was colloca...

Even though Twitter is a fairly new web 2.0 tool, U.S. museum leaders are extoling the platform as a necessary component to any online programming or presence in museums today. Because of the myriad ways museums can use the platform to perform educational, marketing, or engagement-focused programming research on U.S. museums and Twitter is generally very broad, and because of the newness of the...

Twitter is a widely used online social media. One important characteristic of Twitter is its real-time nature. In this paper, we investigate whether the daily number of tweets that mention Standard & Poor 500 (S&P 500) stocks is correlated with S&P 500 stock indicators (stock price and traded volume) at three different levels, from the stock market to industry sector and individual company stoc...

In the last few years, Twitter has become a powerful tool for publishing and discussing information. Yet, content exploration in Twitter requires substantial effort. Users often have to scan information streams by hand. In this paper, we approach this problem by means of faceted search. We propose strategies for inferring facets and facet values on Twitter by enriching the semantics of individu...

Motivated by the two paradoxical facts that the marginal cost of following one extra candidate is close to zero and that the majority of Twitter users choose to follow only one or two candidates, we study the Twitter follow behaviors observed in the 2016 U.S. presidential election. Specifically, we complete the following tasks: (1) analyze Twitter follow patterns of the presidential election on...

Twitter offers tremendous opportunities for people to engage with real-world events (e.g., political election) through information sharing and communicating about these events. However, little is understood about the factors that affect people’s Twitter engagement (e.g., posting) in such real-world events. This paper examines multiple predictive factors associated with four different perspectiv...

Twitter is a microblogging service that commands more than 288 million monthly active users (in 2015) and is growing fast. Twitter users post short messages called tweet about any topic and follow others to receive their tweets. The great amount of data coming from Twitter users is a meaning source of information regarding different aspects of people life. The goal of this paper is to mine such...

In this study, we proposed a research model to investigate the factors influencing users’ continuance intention to use Twitter. Building on the uses and gratification framework, we have proposed four types of gratifications for Twitter usage, including content gratification, technology gratification, process gratification, and social gratification. We conducted an online survey and collected 12...

The key learning points of Surgical Grand Rounds (SGR) are often not accessible at times of exam revision for students. We sought to use Twitter as an online teaching repository. A SGR Twitter profile was created. 23 SGR presentations were made accessible on Twitter over a 3 month period. 93 students were invited to complete a questionnaire assessing usage of the repository. 84 (90%) in total r...