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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
This paper investigates how well real-world events can be characterized by visual features detected in related images posted on social media, using state-of-the-art computer vision methods for object detection and classification. Over 48k images from four different events have been processed to detect objects of different types using convolutional neural networks (CNNs) and cascaded classifiers. Based...
Social media offers a wealth of insight into howsignificant events -- such as the Great East Japan Earthquake, the Arab Spring, and the Boston Bombing -- affect individuals. The scale of available data, however, can be intimidating: duringthe Great East Japan Earthquake, over 8 million tweets weresent each day from Japan alone. Conventional word vector-basedevent-detection techniques for social media...
In real world, social networks are large scale, noisy and evolutionary. Communities are inherent characteristics of human interaction in social networks. Tracking evolutionary communities in dynamic social networks has become an increasingly important research topic. Several classic incremental clustering and evolutionary clustering algorithms have been proposed. But they all face a problem of controlling...
The integration of social media technologies with second screen devices during the broadcasts of in-real-life events facilitates a mode of online conversation we refer to as the social soundtrack. In this research, we compute the correlations between the comments people post in the social soundtrack on various platforms (i.e., Twitter, Instagram and Tumblr) and the terms people search for on a major...
Rumor events differ in how and where they originate, what topics they address, the emotions they invoke, and how they engage their audience. In this paper, we study various semantic aspects of rumors and analyze the motivational and functional roles they play. Using Twitter as a case study, we develop a framework to characterize rumors. Our characterization covers intrinsic and extrinsic factors,...
Prominence of social media such as Twitter and Facebook led to a huge collection of data over which event detection provides useful results. An important dimension of event detection is location estimation for detected events. Social media provides a variety of clues for location, such as geographical annotation from smart devices, location field in the user profileand the content of the message....
Outlier detection is commonly defined as the process of finding unusual, rare observations in a large data set, without prior knowledge of which objects to look for. Trend detection is the task of finding some unexpected change in some quantity, such as the occurrence of certain topics in a textual data stream. Many established outlier detection methods are designed to search for low-density objects...
The spread of rumors on social media, especially in time-sensitive situations such as real-world emergencies, can have harmful effects on individuals and society. In this work, we developed a human-machine collaborative system on Twitter for fast identification of rumors about real-world events. The system reduces the amount of information that users have to sift through in order to identify rumors...
Since the dissemination of the first beheading video by the Islamic State in Iraq and Levant (ISIL) of its hostage James Foley (an American journalist), this practice has become increasingly common. Videos of ISIL beheading their hostages in orange jumpsuits swarmed over social media as they swept across Iraq. By showing such shocking videos and images, ISIL is able to spread their opinions and create...
Leveraging data drawn from the Web, or rather web analytics, has been used to gain business intelligence, increase sales, and optimize websites. Yet beyond the domain of ecommerce that web analytics is typically associated with, authentication based upon user interactions with the Web is also obtainable. Authentication is able to be achieved because just as individuals display unique mannerisms in...
Discovering contexts of user's expertise can be achallenging task, especially if there is no explicit attributionprovided. With more professionals adopting social networks as amean of communicating with their colleagues and broadcastingupdates on the area of their competence, it is crucial to detectsuch individuals automatically. This would not only allow forbetter follower recommendation, but would...
The analysis of students' behavior can provide an effective reference for campus construction, as well as the cultivation and management of students' life. In this work, based on the information collected from the digital campus card, we study the correlation between book borrowing behavior and academic achievements, as well as the consuming capability distribution and campus movement trajectory from...
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