Deviance in Social Media and Social Cyber Forensics: Uncovering Hidden Relations Using Open Source Information (Osinf)
暫譯: 社交媒體中的偏差與社會網路取證：利用開源資訊（Osinf）揭示隱藏關係

Al-Khateeb, Samer, Agarwal, Nitin

Deviance in Social Media and Social Cyber Forensics: Uncovering Hidden Relations Using Open Source Information (Osinf)
  • 出版商: Springer
  • 出版日期: 2019-04-09
  • 售價: $2,800
  • 貴賓價: 9.5 折 $2,660
  • 語言: 英文
  • 頁數: 101
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030136892
  • ISBN-13: 9783030136895

    • 海外代購書籍(需單獨結帳)

商品描述

This book describes the methodologies and tools used to conduct social cyber forensic analysis. By applying these methodologies and tools on various events observed in the case studies contained within, their effectiveness is highlighted. They blend computational social network analysis and cyber forensic concepts and tools in order to identify and study information competitors.

Through cyber forensic analysis, metadata associated with propaganda-riddled websites are extracted. This metadata assists in extracting social network information such as friends and followers along with communication network information such as networks depicting flows of information among the actors such as tweets, replies, retweets, mentions, and hyperlinks. Through computational social network analysis, the authors identify influential actors and powerful groups coordinating the disinformation campaign. A blended social cyber forensic approach allows them to study cross-media affiliations of the information competitors. For instance, narratives are framed on blogs and YouTube videos, and then Twitter and Reddit, for instance, will be used to disseminate the message. Social cyber forensic methodologies enable researchers to study the role of modern information and communication technologies (ICTs) in the evolution of information campaign and coordination.

In addition to the concepts and methodologies pertaining to social cyber forensics, this book also offers a collection of resources for readers including several datasets that were collected during case studies, up-to-date reference and literature surveys in the domain, and a suite of tools that students, researchers, and practitioners alike can utilize. Most importantly, the book demands a dialogue between information science researchers, public affairs officers, and policy makers to prepare our society to deal with the lawless "wild west" of modern social information systems triggering debates and studies on cyber diplomacy.

商品描述(中文翻譯)

這本書描述了用於進行社會網路取證分析的方法論和工具。通過將這些方法論和工具應用於案例研究中觀察到的各種事件，突顯了它們的有效性。這些方法結合了計算社會網路分析和網路取證的概念與工具，以識別和研究信息競爭者。

通過網路取證分析，提取與充斥著宣傳的網站相關的元數據。這些元數據有助於提取社交網路信息，例如朋友和追隨者，以及通信網路信息，例如描繪參與者之間信息流動的網路，如推文、回覆、轉推、提及和超連結。通過計算社會網路分析，作者識別出影響力大的參與者和協調虛假信息運動的強大團體。綜合的社會網路取證方法使他們能夠研究信息競爭者的跨媒體關聯。例如，敘事在部落格和YouTube視頻上構建，然後例如Twitter和Reddit將被用來傳播信息。社會網路取證方法使研究人員能夠研究現代信息和通信技術（ICT）在信息運動和協調演變中的角色。

除了與社會網路取證相關的概念和方法論外，本書還為讀者提供了一系列資源，包括在案例研究中收集的幾個數據集、該領域的最新參考文獻調查，以及學生、研究人員和從業者都可以利用的一套工具。最重要的是，本書要求信息科學研究者、公關官員和政策制定者之間進行對話，以準備我們的社會應對現代社會信息系統的無法無天的「西部荒野」，引發有關網路外交的辯論和研究。

作者簡介

Samer Al-khateeb is an Assistant Professor at the Department of Journalism, Media and Computing, College of Arts and Sciences, at Creighton University and a former Postdoctorate Research Fellow at the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) at the University of Arkansas at Little Rock (UA-Little Rock). He obtained his Ph.D. in Computer and Information Sciences, a master's degree in Applied Science, and a bachelor's degree in Computer Science form UA-Little Rock. He studies deviant acts (e.g., deviant cyber flash mobs and cyber propaganda campaigns) on social media that are conducted by deviant groups (e.g., Daesh, Black-hat hackers, and Propagandist) which aim to influence individual's behaviors and provoke hysteria among citizens. He also studies the type of actors these deviant groups use to perform their acts, i.e., are they human (e.g., Internet trolls) or automated actors (e.g., social bots) by leveraging social science theories (e.g., the theory of collective action), social network analysis (e.g., centralities and community detection algorithms), and social cyber forensics (e.g., metadata collection to uncover the hidden relations among these actors across platforms). He has many publications including book chapters, journal papers (e.g., Journal of Defence Strategic Communications; Journal of Digital Forensics, Security, and Law; Journal of Baltic Security; and the IARIA International Journal on Advances in Internet Technology), conferences proceedings, and conferences presentations. He won various awards such as the Staff Achievement Award for Educational Achievements, Excellence in Research Award, Outstanding Graduating Student Award (Master's Level), Who's Who Among Students in American Universities and Colleges, the Best Paper Award, 2nd Place Most Innovative Award, and 2nd Place Societal Impact Award, among others.

Dr. Nitin Agarwal is the Jerry L. Maulden-Entergy Endowed Chair and Distinguished Professor of Information Science at University of Arkansas at Little Rock. He is the founding director of the Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) at UA Little Rock. His research aims to push the boundaries of our understanding of cyber social behaviors that emerge and evolve constantly in the modern information and communication platforms with applications in defense and security, health, business and marketing, finance, and education. At COSMOS, he is leading projects funded by over $10 million from an array of federal agencies including U.S. National Science Foundation, Office of Naval Research, Army Research Office, Air Force Research Lab, Defense Advanced Research Projects Agency, Department of State, and plays a significant role in the long-term partnership between UA Little Rock and the Department of Homeland Security. He developed publicly available social media mining tools, viz., Blogtrackers, YouTubeTracker, and Focal Structure Analysis used by NATO Strategic Communications and public affairs, among others. Dr. Agarwal participates in the national Tech Innovation Hub launched by the U.S. Department of State to defeat foreign based propaganda.

Dr. Agarwal's research contributions lie at the intersection of social computing, behavior-cultural modeling, collective action, social-cyber forensics, AI, data mining, and machine learning. From Saudi Arabian women's right to drive cyber campaigns to Autism awareness campaigns to ISIS' and anti-West/anti-NATO disinformation campaigns, at COSMOS, he is directing several projects that have made foundational and applicational contributions to social and computational sciences. He has published 8 books and over 150 articles in top-tier peer-reviewed forums with several best paper awards and nominations. Dr. Agarwal obtained Ph.D. from Arizona State University with outstanding dissertation recognition in 2009. He was recognized as one of 'The New Influentials: 20 In Their 20s' by Arkansas Business in 2012. He was recognized with the University-wide Faculty Excellence Award in Research and Creative Endeavors by UALR in 2015. Dr. Agarwal received the Social Media Educator of the Year Award at the 21st International Education and Technology Conference in 2015. In 2017 the Arkansas Times featured Dr. Agarwal in their special issue on "Visionary Arkansans: A Celebration of Arkansans with ideas and achievements of transformative power." Dr. Agarwal was nominated as International Academy, Research and Industry Association (IARIA) Fellow in 2017, Arkansas Academy of Computing (AAoC) Fellow in 2018, and Arkansas Research Alliance (ARA) Fellow in 2018.

作者簡介(中文翻譯)

Samer Al-khateeb 是克雷頓大學（Creighton University）藝術與科學學院新聞、媒體與計算系的助理教授，並曾擔任阿肯色州小石城大學（University of Arkansas at Little Rock, UA-Little Rock）社交媒體與線上行為研究協作中心（Collaboratorium for Social Media and Online Behavioral Studies, COSMOS）的博士後研究員。他在UA-Little Rock獲得計算機與信息科學博士學位、應用科學碩士學位及計算機科學學士學位。他研究社交媒體上由偏差群體（例如：伊斯蘭國、黑帽駭客和宣傳者）進行的偏差行為（例如：偏差的網路快閃行動和網路宣傳活動），這些行為旨在影響個體行為並在公民中引發歇斯底里。他還研究這些偏差群體用來執行其行為的行為者類型，即他們是人類（例如：網路巨魔）還是自動化行為者（例如：社交機器人），並利用社會科學理論（例如：集體行動理論）、社交網路分析（例如：中心性和社群檢測算法）以及社會網路取證（例如：元數據收集以揭示這些行為者在不同平台之間的隱藏關係）。他有多篇出版物，包括書籍章節、期刊論文（例如：Journal of Defence Strategic Communications；Journal of Digital Forensics, Security, and Law；Journal of Baltic Security；以及IARIA國際期刊《網際網路技術進展》）、會議論文集和會議報告。他獲得多項獎項，包括教育成就員工成就獎、研究卓越獎、優秀畢業生獎（碩士級別）、美國大學與學院學生名人錄、最佳論文獎、第二名最具創新獎和第二名社會影響獎等。

Dr. Nitin Agarwal 是阿肯色州小石城大學（University of Arkansas at Little Rock）的Jerry L. Maulden-Entergy講座教授及信息科學傑出教授。他是UA Little Rock社交媒體與線上行為研究協作中心（COSMOS）的創始主任。他的研究旨在推進我們對於在現代信息與通信平台上不斷出現和演變的網路社會行為的理解，並應用於國防與安全、健康、商業與行銷、金融和教育等領域。在COSMOS，他領導的項目獲得超過1000萬美元的聯邦機構資助，包括美國國家科學基金會、海軍研究辦公室、陸軍研究辦公室、空軍研究實驗室、國防高級研究計劃局和國務院，並在UA Little Rock與國土安全部之間的長期夥伴關係中扮演重要角色。他開發了多個公開可用的社交媒體挖掘工具，例如Blogtrackers、YouTubeTracker和Focal Structure Analysis，這些工具被北約戰略通信和公共事務等機構使用。Dr. Agarwal參與了由美國國務院啟動的全國科技創新中心，以打擊外國宣傳。

Dr. Agarwal的研究貢獻位於社會計算、行為文化建模、集體行動、社會網路取證、人工智慧、數據挖掘和機器學習的交集上。從沙烏地阿拉伯女性駕駛權的網路運動到自閉症意識運動，再到ISIS及反西方/反北約的虛假信息運動，在COSMOS，他指導的多個項目對社會科學和計算科學做出了基礎性和應用性的貢獻。他已出版8本書籍和超過150篇在頂級同行評審論壇上的文章，並獲得多項最佳論文獎和提名。Dr. Agarwal於2009年在亞利桑那州立大學獲得博士學位，並因其卓越的論文獲得認可。他在2012年被《阿肯色商業》評選為「新興影響力人物：20位20多歲的年輕人」之一。2015年，他獲得UALR頒發的全校教職員研究與創意成就卓越獎。2015年，他在第21屆國際教育與科技會議上獲得年度社交媒體教育者獎。2017年，《阿肯色時報》在其特刊「願景阿肯色人：慶祝具有變革力量的阿肯色人」中介紹了Dr. Agarwal。Dr. Agarwal於2017年被提名為國際學院、研究與產業協會（IARIA）院士，2018年被提名為阿肯色計算學院（AAoC）院士，並於2018年被提名為阿肯色研究聯盟（ARA）院士。

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