1,320,363 research outputs found

    Everyday the Same Picture: Popularity and Content Diversity

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    Facebook is flooded by diverse and heterogeneous content, from kittens up to music and news, passing through satirical and funny stories. Each piece of that corpus reflects the heterogeneity of the underlying social background. In the Italian Facebook we have found an interesting case: a page having more than 40K40K followers that every day posts the same picture of a popular Italian singer. In this work, we use such a page as a control to study and model the relationship between content heterogeneity on popularity. In particular, we use that page for a comparative analysis of information consumption patterns with respect to pages posting science and conspiracy news. In total, we analyze about 2M2M likes and 190K190K comments, made by approximately 340K340K and 65K65K users, respectively. We conclude the paper by introducing a model mimicking users selection preferences accounting for the heterogeneity of contents

    2015 Cardozo Life (Fall)

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    Table of Contents: Top News & Events, page 3 Clinics News, page 8 Faculty Briefs, page 10 New Dean, New Era, page 14 Creative Enterprise, page 18 Tech Talks, page 26 Helping Clients: Clinics in Action, page 30 Student Briefs, page 34 Movers & Shakers, page 36 Alumni News & Class Notes, page 37 Advancement News, page 44 In Memoriam, page 47 End Note, page 48https://larc.cardozo.yu.edu/cardozo-life/1028/thumbnail.jp

    2014 Cardozo Life (Fall)

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    Table of Contents: Campus News, page 3 Clinics News, page 14 Faculty Briefs, page 15 A Conversation with the New Vice Dean, page 20 Game On, page 22 Life in the Box, page 38 Richard Weisberg, page 44 Conviction, page 50 Global Lawyering, page 56 Student Briefs, page 60 Alumni News & Class Notes, page 64 Advancement News, page 74 In Memoriam, page 79 End Note, page 80https://larc.cardozo.yu.edu/cardozo-life/1027/thumbnail.jp

    Whalesong

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    Ballot decision upsets Regents -- UAS Library bids opened -- UAS logo selection questioned -- Knight greets year -- A Whaler welcome -- Enrollment up by 53 -- New page opens at bookstore -- Spring honor rolls announced -- NEWS BRIEF

    Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features

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    Satirical news is considered to be entertainment, but it is potentially deceptive and harmful. Despite the embedded genre in the article, not everyone can recognize the satirical cues and therefore believe the news as true news. We observe that satirical cues are often reflected in certain paragraphs rather than the whole document. Existing works only consider document-level features to detect the satire, which could be limited. We consider paragraph-level linguistic features to unveil the satire by incorporating neural network and attention mechanism. We investigate the difference between paragraph-level features and document-level features, and analyze them on a large satirical news dataset. The evaluation shows that the proposed model detects satirical news effectively and reveals what features are important at which level.Comment: EMNLP 2017, 11 page

    2016 Cardozo Life (Fall)

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    Table of Contents: Top News & Events, page 3 Clinics News, page 8 Faculty Briefs, page 12 Student Competitions, page 18 Building New York, page 20 Justice For All, page 24 Guantanamo: The Supreme Court Blinks, page 30 Going Global, page 35 In Brief, page 36 Movers & Shakers, page 38 Alumni News & Class Notes, page 39 Advancement News, page 44 In Memoriam, page 47 End Note: Talkin’ Bout My Generation, page 48https://larc.cardozo.yu.edu/cardozo-life/1029/thumbnail.jp

    Animal Health MATTERS

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    [Page] 1- Head/Director\u27s Message Diagnostic News [Page] 1- Classical Swine Fever Surveillance (Hog Cholera) at the SDSU ADRDL [Page] 2- Biopsy Service Changes at the ADRDL – Effective July 1, 2007 [Page] 2- Listing of Pharmacies Offering Compounding Services for Veterinarians – April 2007 [Page] 2- Holiday Hours Research News [Page] 3- CIDRV Research Looks at New HIV Drug [Page] 4- Research Spotlight: Dr. Ying Fang Extension News [Page] 5- National Animal Health Monitoring System (NAHMS) to Study Beef Industry in 2007-08 [Page] 6- Pieces and Parts Student News [Page] 7- SDSU Pre-Veterinary Students Accepted to Veterinary School [Page] 7- Calendar of Event

    A Novel Distributed Representation of News (DRNews) for Stock Market Predictions

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    In this study, a novel Distributed Representation of News (DRNews) model is developed and applied in deep learning-based stock market predictions. With the merit of integrating contextual information and cross-documental knowledge, the DRNews model creates news vectors that describe both the semantic information and potential linkages among news events through an attributed news network. Two stock market prediction tasks, namely the short-term stock movement prediction and stock crises early warning, are implemented in the framework of the attention-based Long Short Term-Memory (LSTM) network. It is suggested that DRNews substantially enhances the results of both tasks comparing with five baselines of news embedding models. Further, the attention mechanism suggests that short-term stock trend and stock market crises both receive influences from daily news with the former demonstrates more critical responses on the information related to the stock market {\em per se}, whilst the latter draws more concerns on the banking sector and economic policies.Comment: 25 page
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