Social Media Intelligence

Author: Wendy W. Moe
Publisher: Cambridge University Press
ISBN: 1107656036
Format: PDF
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In the world of Facebook, Twitter and Yelp, water-cooler conversations with co-workers and backyard small talk with neighbors have moved from the physical world to the digital arena. In this new landscape, organizations ranging from Fortune 500 companies to government agencies to political campaigns continuously monitor online opinions in an effort to guide their actions. Are consumers satisfied with our product? How are our policies perceived? Do voters agree with our platform? Measuring online opinion is more complex than just reading a few posted reviews. Social media is replete with noise and chatter that can contaminate monitoring efforts. By knowing what shapes online opinions, organizations can better uncover the valuable insights hidden in the social media chatter and better inform strategy. This book can help anyone facing the challenge of making sense of social media data to move beyond the current practice of social media monitoring to more comprehensive use of social media intelligence.

Social Media Intelligence

Author: Wendy W. Moe
Publisher: Cambridge University Press
ISBN: 1107031206
Format: PDF, Docs
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As consumers, we turn to the public arena of social media to share our opinions and learn about the opinions of others. Fortune 500 companies, political campaigns, government agencies and many other organizations constantly monitor social media to gauge public opinion. This book explains how opinions are formed, what affects the opinions posted online and how organizations can use social media to inform their strategies.

Social Machines

Author: James Hendler
Publisher: Apress
ISBN: 1484211561
Format: PDF, Mobi
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Will your next doctor be a human being—or a machine? Will you have a choice? If you do, what should you know before making it?This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species.AI experts and researchers James Hendler—co-originator of the Semantic Web (Web 3.0)—and Alice Mulvehill—developer of AI-based operational systems for DARPA, the Air Force, and NASA—explore the social implications of AI systems in the context of a close examination of the technologies that make them possible. The authors critically evaluate the utopian claims and dystopian counterclaims of AI prognosticators. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your richly illustrated field guide to the future of your machine-mediated relationships with other human beings and with increasingly intelligent machines. What Readers Will Learn What the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligence How modern artificial intelligence technologies, such as Watson, are evolving and how they process knowledge from both carefully produced information (such as Wikipedia and journal articles) and from big data collections The fundamentals of neuromorphic computing, knowledge graph search, and linked data, as well as the basic technology concepts that underlie networking applications such as Facebook and Twitter How the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applications Who This Book Is ForGeneral readers and technically engaged developers, entrepreneurs, and technologists interested in the threats and promises of the accelerating convergence of artificial intelligence with social networks and mobile web technologies.

Social Media Intelligence FTI Consulting Strategic Communications

Author:
Publisher:
ISBN: 9781473998216
Format: PDF, Kindle
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Dan Hindin discusses social media intelligence and consulting. Social media intelligence is using different tools and strategies to increase the effectiveness of a company's social network presence. Hindin discusses network analysis, consulting tools, and careers in social media intelligence.

Big Data Analytics Using Splunk

Author: Peter Zadrozny
Publisher: Apress
ISBN: 1430257628
Format: PDF
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Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunk’s easy to use engine helps you recognize and react in real time, as events are occurring. Splunk is a powerful, yet simple analytical tool fast gaining traction in the fields of big data and operational intelligence. Using Splunk, you can monitor data in real time, or mine your data after the fact. Splunk’s stunning visualizations aid in locating the needle of value in a haystack of a data. Geolocation support spreads your data across a map, allowing you to drill down to geographic areas of interest. Alerts can run in the background and trigger to warn you of shifts or events as they are taking place. With Splunk you can immediately recognize and react to changing trends and shifting public opinion as expressed through social media, and to new patterns of eCommerce and customer behavior. The ability to immediately recognize and react to changing trends provides a tremendous advantage in today’s fast-paced world of Internet business. Big Data Analytics Using Splunk opens the door to an exciting world of real-time operational intelligence. Built around hands-on projects Shows how to mine social media Opens the door to real-time operational intelligence

Hybrid Intelligence for Social Networks

Author: Hema Banati
Publisher: Springer
ISBN: 3319651390
Format: PDF, Docs
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This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

Using Social Media Intelligence to Support Business Knowledge Discovery and Decision Making

Author: Runpu Sun
Publisher:
ISBN:
Format: PDF, ePub, Mobi
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The new social media sites - blogs, micro-blogs, and social networking sites, among others - are gaining considerable momentum to facilitate collaboration and social interactions in general. These sites provide a tremendous asset for understanding social phenomena by providing a wide availability of novel data sources. Recent estimates suggest that social media sites are responsible for as much as one third of new Web content, in the forms of social networks, comments, trackbacks, advertisements, tags, etc. One critical and immediate challenge facing the MIS researchers then becomes - how to effectively utilize this huge wealth of social media data, to facilitate business knowledge discovery and decision making. Among these available data sources, social networks constitute the backbone of almost all social media sites. These network structures provide a rich description of the social scenes and contexts, which is helpful for us to address the above challenge. In this dissertation, I have primarily employed the probabilistic network models, to study various social network related problems arose from the use of social media services. In Chapter 2 and Chapter 3, I studied how information overload can affect the efficiency of information diffusion in online social networks (Delicious.com and Digg.com). Novel diffusion model were proposed to model the observed information overload. The models and their extensions are thoroughly evaluated by solving the Influence Maximization problem related to information diffusion and viral marketing applications. In Chapter 4, I studied the information overload in a micro-blogging application (Twitter.com) using a design science methodology. A content recommendation framework was proposed to help micro-blogging users to efficiently identify quality emergency news feeds. Chapter 5 presents a novel burst detection algorithm concerning identifying and analyzing correlated burst patterns by considering multiple inputs (data streams) that co-evolve over time. The algorithm was later used for discovering burst keywords/tag pairs from online social communities, which are strong indicators of emerging or changing user interests. Chapter 6 concludes this dissertation by highlighting major research contributions and future directions.

Automating Open Source Intelligence

Author: Robert Layton
Publisher: Syngress
ISBN: 012802917X
Format: PDF, ePub
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Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process. The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline. Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data. Presents a coherent set of methods and processes for automating OSINT Focuses on algorithms and applications allowing the practitioner to get up and running quickly Includes fully developed case studies on the digital underground and predicting crime through OSINT Discusses the ethical considerations when using publicly available online data

Studies Combined Social Media And Online Visual Propaganda As Political And Military Tools Of Persuasion

Author:
Publisher: Jeffrey Frank Jones
ISBN:
Format: PDF, Docs
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Over 1,700 total pages ... Contains the following publications: Visual Propaganda and Extremism in the Online Environment COUNTERMOBILIZATION: UNCONVENTIONAL SOCIAL WARFARE Social Media: More Than Just a Communications Medium HOW SOCIAL MEDIA AFFECTS THE DYNAMICS OF PROTEST Finding Weakness in Jihadist Propaganda NATURAL LANGUAGE PROCESSING OF ONLINE PROPAGANDA AS A MEANS OF PASSIVELY MONITORING AN ADVERSARIAL IDEOLOGY AIRWAVES AND MICROBLOGS: A STATISTICAL ANALYSIS OF AL-SHABAAB’S PROPAGANDA EFFECTIVENESS THE ISLAMIC STATE’S TACTICS IN SYRIA: ROLE OF SOCIAL MEDIA IN SHIFTING A PEACEFUL ARAB SPRING INTO TERRORISM TWEETING NAPOLEON AND FRIENDING CLAUSEWITZ: SOCIAL MEDIA AND THE #MILITARYSTRATEGIST TROLLING NEW MEDIA: VIOLENT EXTREMIST GROUPS RECRUITING THROUGH SOCIAL MEDIA The Combatant Commander’s Guide to Countering ISIS’s Social Media Campaign #Terror - Social Media and Extremism THE WEAPONIZATION OF SOCIAL MEDIA THE COMMAND OF THE TREND: SOCIAL MEDIA AS A WEAPON IN THE INFORMATION AGE PEACEFUL PROTEST, POLITICAL REGIMES, AND THE SOCIAL MEDIA CHALLENGE THE WEAPONIZED CROWD: VIOLENT DISSIDENT IRISH REPUBLICANS EXPLOITATION OF SOCIAL IDENTITY WITHIN ONLINE COMMUNITIES Seizing the Digital High Ground: Military Operations and Politics in the Social Media Era PERSONALITY AND SOCIAL INFLUENCE CHARACTERISTIC AFFECTS ON EASE OF USE AND PEER INFLUENCE OF NEW MEDIA USERS OVER TIME FREE INTERNET AND SOCIAL MEDIA: A DUAL-EDGED SWORD

Social Data Analytics

Author: Krish Krishnan
Publisher: Newnes
ISBN: 0123977800
Format: PDF, Docs
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Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease. You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project. Provides foundational understanding of new and emerging technologies—social data, collaboration, big data, advanced analytics Includes case studies and practical examples of success and failures Will prepare you to lead projects and advance initiatives that will benefit you and your organization