The explosion of Online Social Media in the form of user-generated content on blogs, microblogs (Twitter), discussion forums, product reviews and multimedia sharing sites presents many new opportunities and challenges to both producers and consumers of information. For producers, this user-generated content provides a rich source of implicit consumer feedback. Tracking the pulse of the ever-expanding social media outlets, enables companies to discern what consumers are saying about their products, which provides useful insight on how to improve and market products better. For consumers, the plethora of information and opinions from diverse sources helps them tap into the wisdom of crowds, to aid in making more informed decisions. Though there is a vast quantity of information available, the consequent challenge is to be able to analyze the large volumes of user-generated content and the implicit (or explicit) links between users, in order to glean meaningful insights therein.
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Causal discovery in social media using quasi-experimental designs
Social media systems have become increasingly attractive to both users and companies providing those systems. Efficient management of these systems is essential and requires knowledge of cause-and-effect relationships within the system. Online ...
Distortion as a validation criterion in the identification of suspicious reviews
Assessing the trustworthiness of reviews is a key issue for the maintainers of opinion sites such as TripAdvisor. In this paper we propose a distortion criterion for assessing the impact of methods for uncovering suspicious hotel reviews in TripAdvisor. ...
A multi-resolution approach to learning with overlapping communities
The recent few years have witnessed a rapid surge of participatory web and social media, enabling a new laboratory for studying human relations and collective behavior on an unprecedented scale. In this work, we attempt to harness the predictive power ...
Shopping for top forums: discovering online discussion for product research
Community generated content, or social media, has become increasingly important over the past several years. Social media sites such as blogs, twitter and online discussion boards have been recognized as valuable sources of market intelligence for ...
Studying blog features over link popularity
The study of the blogosphere can provide sociologically relevant data. We analyze the links between blogs in the portuguese blogosphere, in order to understand how they group and interact, to identify clusters and to characterize them. Our data set ...
Generative models for rapid information propagation
We consider the dynamics of rapid propagation of information in complex social networks focusing on mobile phone networks. We introduce two models for an information propagation process. The first model describes the temporal behavior of people which ...
An analysis of perspectives in interactive settings
In this paper we investigate the effect of the context of interaction on the extent to which a contributor's perspective bias is displayed through their lexical choice. We present a series of experiments on political discussion data. Our experiments ...
Quantifying sentiment and influence in blogspaces
The weblog, or blog, has become a popular form of social media, through which authors can write posts, which can in turn generate feedback in the form of user comments. When considered in totality, a collection of blogs can thus be viewed as a sort of ...
Identifying breakpoints in public opinion
While polls are traditionally used for observing public opinion, they provide a point snapshot, not a continuum. We consider the problem of identifying breakpoints in public opinion, and propose using micro-blogging sites to capture trends in public ...
Analyzing microblogs with affinity propagation
Recently, there has been a great deal of interest in analyzing inherent structures in posts on microblogs such as Twitter. While many works utilize a well-known topic modeling technique, we instead propose to apply Affinity Propagation [4] (AP) to ...
Twitter under crisis: can we trust what we RT?
In this article we explore the behavior of Twitter users under an emergency situation. In particular, we analyze the activity related to the 2010 earthquake in Chile and characterize Twitter in the hours and days following this disaster. Furthermore, we ...
Empirical study of topic modeling in Twitter
Social networks such as Facebook, LinkedIn, and Twitter have been a crucial source of information for a wide spectrum of users. In Twitter, popular information that is deemed important by the community propagates through the network. Studying the ...
Modeling the evolution of discussion topics and communication to improve relational classification
Textual analysis is one means by which to assess communication type and moderate the influence of network structure in predictive models of individual behavior. However, there are few methods available to incorporate textual content into time-evolving ...
Interaction-driven opinion dynamics in online social networks
Online social networks provide a globally available, massive-scale infrastructure for people to exchange information and ideas. A topic of great interest in social networks research is how to model this information exchange and, in particular, how to ...
Where the blogs tip: connectors, mavens, salesmen and translators of the blogosphere
Why is it that some ideas or products become unusually successful and get adopted widely while others don't? This question has been puzzling many social scientists, economists, politicians and educators for a long time. Knowing the answer to this ...
Towards detecting influenza epidemics by analyzing Twitter messages
Rapid response to a health epidemic is critical to reduce loss of life. Existing methods mostly rely on expensive surveys of hospitals across the country, typically with lag times of one to two weeks for influenza reporting, and even longer for less ...
Information resonance on Twitter: watching Iran
Twitter has undoubtedly caught the attention of both the general public, and academia as a microblogging service worthy of study and attention. Twitter has several features that sets it apart from other social media/networking sites, including its 140 ...
Statistical measure of quality in Wikipedia
Wikipedia is commonly viewed as the main online encyclopedia. Its content quality, however, has often been questioned due to the open nature of its editing model. A high--quality contribution by an expert may be followed by a low-quality contribution ...
Cited By
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Du F, Zhu A and Qi F (2015). Interactive visual cluster detection in large geospatial datasets based on dynamic density volume visualization, Geocarto International, 10.1080/10106049.2015.1073364, 31:6, (597-611), Online publication date: 2-Jul-2016.
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García-Silva A, Rodríguez-Doncel V and Corch O Semantic Characterization of Tweets Using Topic Models, International Journal on Semantic Web and Information Systems, 10.4018/ijswis.2013070101, 9:3, (1-13)
- Kasiviswanathan S, Wang H, Banerjee A and Melville P Online ℓ1-dictionary learning with application to novel document detection Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2, (2258-2266)
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