Analysis by Multiclass Multilabel Classification of the 2015 #SmearForSmear Campaign Using Deep Learning

Background: Cervical cancer is the second most common cancer among women under 45 years of age. To deal with the decrease of smear test coverage in the UK, a Twitter campaign called #SmearForSmear has been launched in 2015 for the European Cervical Cancer

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eb and Health Research

Benefits, Limitations, and Best Practices

Social Web and Health Research

Jiang Bian • Yi Guo • Zhe He • Xia Hu Editors

Social Web and Health Research Benefits, Limitations, and Best Practices

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Editors Jiang Bian Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville, FL, USA Zhe He School of Information Florida State University Tallahassee, FL, USA

Yi Guo Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville, FL, USA Xia Hu Computer Science and Engineering Department Texas A&M University College Station, TX, USA

ISBN 978-3-030-14713-6 ISBN 978-3-030-14714-3 (eBook) https://doi.org/10.1007/978-3-030-14714-3 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

In the last decade, we have witnessed a rapid growth of social media, social networks, or more widely interactive websites and online tools. These combined formed the broader social web that has changed the communication landscape in recent years. In 2018, 89% of US adults have access to the Internet, raised from 52% in early 2000, according to the Pew Research Center. Just 5% of US adults used some sort of social media platforms when Pew Research Center started tracking social media adoption in 2005; by 2018, that number had risen to 69%. Use of social media and presence on the social web is a daily routine for many people nowadays. And the usage pattern has changed from initial interpersonal communications to more expansive use of the social web for many different purposes such as supplementing traditional news media, organizing massive social even