A Twitter user can easily be overwhelmed by flooding tweets from her followees, making it challenging for the user to find interesting and useful information in tweets. The feature of Twitter Lists allows users to organize their followees into multiple subsets for selectively digesting tweets. However, this feature has not received wide reception because users are reluctant to invest initial ef...

Twitter is today’s most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce TUMS, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity ex...

We present a new corpus of German tweets. Due to the relatively small number of German messages on Twitter, it is possible to collect a virtually complete snapshot of German twitter messages over a period of time. In this paper, we present our collection method which produced a 24 million tweet corpus, representing a large majority of all German tweets sent in April, 2013. Further, we analyze t...

Twitter, a popular social networking service, enables its users to not only send messages but re-broadcast or retweet a message from another Twitter user to their own followers. Considering the number of times that a message is retweeted across Twitter is a straightforward way to estimate how interesting it is. However, a considerable number of messages in Twitter with high retweet counts are a...

We present the Insight4News system that connects news articles to social conversations, as echoed in microblogs such as Twitter. Insight4News tracks feeds from mainstream media, e.g., BBC, Irish Times, and extracts relevant topics that summarize the tweet activity around each article, recommends relevant hashtags, and presents complementary views and statistics on the tweet activity, related ne...

Twitter is a fast growing real-time social media tool. As Twitter evolves, more and more people are partaking in sharing what is happening around the world through various Twitter applications. Hashtag use has become a unique tagging convention to help associate Twitter messages with certain events or contexts. Prefixed by a # symbol with a keyword, a Twitter hashtag serves as a bottom-up userp...

We present a Twitter-based website The Political Grid Project that focuses on harnessing the potential of Twitter as a political medium. On this site, the general public can create new datasets additionally to existing Twitter data, and investigate the data through diverse visualizations. This site lists tweets posted by political entities, and a user votes on each tweet based on the two standa...

BACKGROUND Social media data is a promising source of social science data. However, deriving the demographic characteristics of users and dealing with the nonrandom, nonrepresentative populations from which they are drawn represent challenges for social scientists. OBJECTIVE Given the growing use of social media data in social science research, this paper asks two questions: 1) To what extent a...

Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-known micro-blogging platform Twitter and financial markets. In particular, we consider, in a period of 15 months, the Twitter volume and sentiment about the 30 stock companies that form the Dow Jones Industrial Average (DJIA) index. We find a rel...

Twitter, a famous social networking site where thousands of users use it to tweet to the world, is prone to spam, phishing, and malware distribution. Tweets are the atomic building blocks of Twitter, 140-character status updates with additional associated metadata. People tweet for a variety of reasons about a multitude of topics. Traditional spam detection scheme for twitter are ineffective ag...