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Author: Yun Fu
Publisher: Springer Science & Business Media
ISBN: 3319054910
Category : Computers
Languages : en
Pages : 211
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Book Description
This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.
Author: Yun Fu
Publisher: Springer Science & Business Media
ISBN: 3319054910
Category : Computers
Languages : en
Pages : 211
Get Book Here
Book Description
This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.
Author: Cecilia Aragon
Publisher: MIT Press
ISBN: 0262367599
Category : Computers
Languages : en
Pages : 201
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Book Description
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
Author: Cecilia Aragon
Publisher: MIT Press
ISBN: 0262543214
Category : Computers
Languages : en
Pages : 201
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Book Description
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
Author: Marshall Sponder
Publisher: McGraw Hill Professional
ISBN: 0071768297
Category : Business & Economics
Languages : en
Pages : 337
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Book Description
Align Strategy With Metrics Using Social Monitoring Best Practices “Two or three years from now, every public relations firm that wants to be taken seriously in the C-suite and/or a lead marketing role will have someone like Marshall in its senior leadership ranks, a chief analytics officer responsible for ensuring that account leaders think more deeply about analytics and that thfirm works with the best available outside suppliers to integrate analytics appropriately.” —Paul Holmes, The Holmes Report “Marshall has provided much-needed discipline to our newest marketing frontier—a territory full of outlaws, medicine men, dot com tumbleweeds, and snake oil.” —Ryan Rasmussen, VP Research, Zócalo Group “Marshall Sponder stands apart from the crowd with this work. His case study approach, borne of real-world experience, provides the expert and the amateur alike with bibliography, tools, links, and examples to shortcut the path to bedrock successes. This is a reference work for anyone who wants to explore the potential of social networks.” —W. Reid Cornwell, Ph.D., Chief Scientist, The Center for Internet Research “Marshall is a solutions design genius of unparalleled knowledge and acumen, and when he applies himself to the business of social media, the result is a timely and important commentary on the state of research capabilities for social media.” —Barry Fleming, Director, Analytics & Insights, WCG, and Principal, DharmaBuilt.com About the Book Practically overnight, social media has become a critical tool for every marketing objective—from outreach and customer relations to branding and crisis management. For the most part, however, the data collected through social media is just that: data. It usually seems to hold little or no meaning on which to base business decisions. But the meaning is there . . . if you’re applying the right systems and know how to use them. With Social Media Analytics, you’ll learn how to get supremely valuable information from this revolutionary new marketing tool. One of the most respected leaders in his field and a pioneer in Web analytics, Marshall Sponder shows how to: Choose the best social media platforms for your needs Set up the right processes to achieve your goals Extract the hidden meaning from all the data you collect Quantify your results and determine ROI Filled with in-depth case studies from a range of industries, along with detailed reviews of several social-monitoring platforms, Social Media Analytics takes you beyond “up-to-date” and leads you well into the future—and far ahead of your competition. You will learn how to use the most sophisticated methods yet known to find customers, create relevant content (and track it), mash up data from disparate sources, and much more. Sponder concludes with an insightful look at where the field will likely be going during the next few years. Whether your social media marketing efforts are directed at B2B, B2C, C2C, nonprofit, corporate, or public sector aims, take them to the next step with the techniques, strategies, and methods in Social Media Analytics—the most in-depth, forward-looking book on the subject.
Author: Wendy W. Moe
Publisher: Cambridge University Press
ISBN: 1107656036
Category : Computers
Languages : en
Pages : 205
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Book Description
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 a more comprehensive use of social media intelligence.
Author: John Lovett
Publisher:
ISBN: 9788126532773
Category :
Languages : en
Pages : 384
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Book Description
Market_Desc: Primary audience: (Job titles i.e. network managers, programmers, etc.) Anyone charged with growing the social media side of a business; social media manager as a job title is a growing career pathSecondary audience: Web Analysts, Marketers, Developers Special Features: · EXPERT AUTHOR: John Lovett's company, Web Analytics Demystified, is a leader in analyzing and measuring the effect of social media and gauging the success of those initiatives for companies on a worldwide scope. Lovett will aggressively promote the book on his company web site/blog http://www.alexa.com/siteinfo/webanalyticsdemystified.com· SECRETS SERIES: Written in the Secrets Series providing insider tips, valuable insights, and unbeatable advice with an updated interior and cover. Readers will feel like they are sitting down with John Lovett and learning from his years of training and experience.· SOCIAL MEDIA REVOLUTION -- Social media has infiltrated all parts of not only individual person-to-person interaction, but has become a must-have for every company from the smallest to the Fortune 500· INSIDER TIPS, VALUABLE INSIGHTS, AND UNBEATABLE ADVICE: Social Media Metrics Secrets will be valuable to readers by providing simple, straight forward tips, insights, and advice. About The Book: Do you wish you could sit down with an expert to figure out whether or not your social media initiatives are working? With Social Media Metrics Secrets, you can! Expert John Lovett taps into his years of training and experience to reveal tips, tricks, and advice on how to analyze and measure the effects of social media and gauge the success of your initiatives. He uses mini case studies to demonstrate how to manage social operations with process and technology by applying key performance indicators, and assessing the business value of social media.
Author: Gabriele Meiselwitz
Publisher:
ISBN: 9783030219031
Category : Artificial intelligence
Languages : en
Pages : 587
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Book Description
This two-volume set LNCS 11578 and 11579 constitutes the refereed proceedings of the 11th International Conference on Social Computing and Social Media, SCSM 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 81 papers presented in these two volumes are organized in topical sections named: Social Media Design and Development, Human Behaviour in Social Media, Social Network Analysis, Community Engagement and Social Participation, Computer Mediated Communication, Healthcare Communities, Social Media in Education, Digital Marketing and Consumer Experience.
Author: Ioannis Pitas
Publisher: CRC Press
ISBN: 1498719058
Category : Computers
Languages : en
Pages : 436
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Book Description
Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear alge
Author: Michael Brooks
Publisher:
ISBN:
Category :
Languages : en
Pages : 209
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Book Description
In the social sciences, researchers are increasingly turning to datasets collected from social media, online chat, forums, and email to address questions about human communication and behavior. However, these datasets are notoriously difficult to work with. Social media and online communication datasets push the limits of traditional research methods, force researchers to learn an array of new data science skills, and limit open and equitable participation in this important new research area. While this problem has many sides, one of the most significant challenges is a dearth of technological support for online social datasets and mixed methods data analysis processes. Many researchers in this area have to create custom scripts and software for gathering, analyzing, and visualizing their data. Solving this problem depends on understanding the data analysis processes and practices of social scientists working with online social data. In this dissertation, I present an ethnographic interview-based study on the work practices of researchers applying mixed methods to social media data, in order to better understand their data collection and analysis processes and generate implications for design. Even with a good understanding of how social scientists work with data, significant questions remain about how to design helpful software. Based on a year-long engagement with a research group studying emotion in a large chat dataset, I discuss the implications of applying machine learning technology to “amplify” and scale up qualitative analysis from a small manually-coded set to the full corpus. Finally, I discuss two human-centered design projects focused on supporting aspects of the data analysis process: visual exploration of Twitter data, and collaborative qualitative coding of chat messages. This dissertation offers a descriptive understanding of how social scientists actually work with complex social media and online communication datasets, implications for designing better machine learning, visual analytics, and qualitative analysis software, and several open-source tools for analyzing online social data.
Author: Bernard J. Jansen
Publisher: Springer Nature
ISBN: 3031022319
Category : Computers
Languages : en
Pages : 317
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Book Description
Data-driven personas are a significant advancement in the fields of human-centered informatics and human-computer interaction. Data-driven personas enhance user understanding by combining the empathy inherent with personas with the rationality inherent in analytics using computational methods. Via the employment of these computational methods, the data-driven persona method permits the use of large-scale user data, which is a novel advancement in persona creation. A common approach for increasing stakeholder engagement about audiences, customers, or users, persona creation remained relatively unchanged for several decades. However, the availability of digital user data, data science algorithms, and easy access to analytics platforms provide avenues and opportunities to enhance personas from often sketchy representations of user segments to precise, actionable, interactive decision-making tools—data-driven personas! Using the data-driven approach, the persona profile can serve as an interface to a fully functional analytics system that can present user representation at various levels of information granularity for more task-aligned user insights. We trace the techniques that have enabled the development of data-driven personas and then conceptually frame how one can leverage data-driven personas as tools for both empathizing with and understanding of users. Presenting a conceptual framework consisting of (a) persona benefits, (b) analytics benefits, and (c) decision-making outcomes, we illustrate applying this framework via practical use cases in areas of system design, digital marketing, and content creation to demonstrate the application of data-driven personas in practical applied situations. We then present an overview of a fully functional data-driven persona system as an example of multi-level information aggregation needed for decision making about users. We demonstrate that data-driven personas systems can provide critical, empathetic, and user understanding functionalities for anyone needing such insights.
