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The use of social media to communicate timely information during crisis situations has become a common practice in recent years. In particular, the one-to-many nature of Twitter has created an opportunity for stakeholders to disseminate crisis-relevant messages, and to access vast amounts of information they may not otherwise have. Our goal is to understand(More)
Locating timely, useful information during crises and mass emergencies is critical for those forced to make potentially life-altering decisions. As the use of Twit-ter to broadcast useful information during such situations becomes more widespread, the problem of finding it becomes more difficult. We describe an approach toward improving the recall in the(More)
The open nature of the World Wide Web makes evaluating webpage credibility challenging for users. In this paper, we aim to automatically assess web credibility by investigating various characteristics of webpages. Specifically, we first identify features from textual content, link structure, webpages design, as well as their social popularity learned from(More)
Peer-to-peer Online Social Networks (OSNs) promise to combine the functionalities of centralized OSNs with the good properties of peer-to-peer systems. However, in time, the number of connections between users of OSNs grows super-linearly in the number of users: the average node degree increases with the overall system size. In large-scale settings, mapping(More)
In an automatic document conversion system, which builds digital documents from scanned articles, there is a need to perform various adjustments before the scanned image is fed to the layout analysis system. This is because the layout detection system is sensitive to errors when the page elements are not properly identified, represented, denoised, etc. Such(More)
Skew detection and correction is an important step in automated content conversion systems, on which overall system performance is dependent. Although there are many working solutions at the present time, the search for an algorithm that can achieve good error rates in a fast running time and on different layout types is still open, so new solutions for(More)
Social media is becoming more and more integrated in the distribution and consumption of news. How is news in social media different from mainstream news? This paper presents a comparative analysis covering a span of 17 months and hundreds of news events, using a method that combines automatic and manual annotations. We focus on climate change, a topic that(More)
An overwhelming and growing amount of data is available online. The problem of untrustworthy online information is augmented by its high economic potential and its dynamic nature, e.g. transient domain names, dynamic content, etc. In this paper, we address the problem of assessing the credibility of web pages by a decentralized social recommender system.(More)
Scheduling is the key to distributed applications performance in large scale heterogeneous environments. For such systems resilience in case of faults can be approached at the level of rescheduling mechanisms. The performance of rescheduling is very important in the context of large scale distributed systems and dynamic behavior. The paper proposes a(More)
The debates on minority issues are often dominated by or held among the concerned minority: gender equality debates have often failed to engage men, while those about race fail to effectively engage the dominant group. To test this observation , we study the #BlackLivesMatter movement and hashtag on Twitter—which has emerged and gained traction after a(More)