Modeling Events and Affects in Social Media Stories

Modeling Events and Affects in Social Media Stories PDF Author: Elahe Rahimtoroghi
Publisher:
ISBN: 9780355865110
Category :
Languages : en
Pages : 154

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Book Description
Stories play an important role in human perception of the world and therefore the computational analysis of narrative structure is a key area in natural language processing. The focus of this thesis is to develop and evaluate computational models for two main elements of the narrative structure: Events and Desires. Our work first aims to test a theory that proposes a linear structure of narratives and identifies different parts of a story based on their function. Unlike most of the previous work that use the news articles or other simpler and more conventional genres, we use a corpus of personal stories from social media that have a wider range of topical content and variations of discourse relations. We present an unsupervised method for modeling narrative events, focusing on specific event relations based on the Penn Discourse Treebank's definition of contingency. We use a weakly supervised approach to extract the key events from stories and create a topic-sorted corpus of personal narratives using a bootstrapping method. We additionally propose new evaluation methods for testing the contingent event pairs. Our results show that most of the relations we learn from blog stories are not found in the existing event collections. In our final contribution, we develop supervised methods for modeling the protagonist's goals and their outcome in personal narratives, as a sub-problem of modeling affects. Our studies show that both prior and post context are useful for modeling desire fulfillment. In addition, we show that exploiting narrative structure is helpful, both directly in terms of the utility of discourse relation features and indirectly by using a sequential model. We further examine our analysis of the human desires by identifying and studying the expressions of unfulfilled goals.

Modeling Events and Affects in Social Media Stories

Modeling Events and Affects in Social Media Stories PDF Author: Elahe Rahimtoroghi
Publisher:
ISBN: 9780355865110
Category :
Languages : en
Pages : 154

Get Book Here

Book Description
Stories play an important role in human perception of the world and therefore the computational analysis of narrative structure is a key area in natural language processing. The focus of this thesis is to develop and evaluate computational models for two main elements of the narrative structure: Events and Desires. Our work first aims to test a theory that proposes a linear structure of narratives and identifies different parts of a story based on their function. Unlike most of the previous work that use the news articles or other simpler and more conventional genres, we use a corpus of personal stories from social media that have a wider range of topical content and variations of discourse relations. We present an unsupervised method for modeling narrative events, focusing on specific event relations based on the Penn Discourse Treebank's definition of contingency. We use a weakly supervised approach to extract the key events from stories and create a topic-sorted corpus of personal narratives using a bootstrapping method. We additionally propose new evaluation methods for testing the contingent event pairs. Our results show that most of the relations we learn from blog stories are not found in the existing event collections. In our final contribution, we develop supervised methods for modeling the protagonist's goals and their outcome in personal narratives, as a sub-problem of modeling affects. Our studies show that both prior and post context are useful for modeling desire fulfillment. In addition, we show that exploiting narrative structure is helpful, both directly in terms of the utility of discourse relation features and indirectly by using a sequential model. We further examine our analysis of the human desires by identifying and studying the expressions of unfulfilled goals.

Social Media News and Its Impact

Social Media News and Its Impact PDF Author: Fuyuan Shen
Publisher: Routledge
ISBN: 1000530159
Category : Language Arts & Disciplines
Languages : en
Pages : 239

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Book Description
With creative designs, this book contains important contributions to our understanding of social media news’s effects on political engagement, political knowledge, willingness to engage in self-censorship, and political disaffection. In recent years, social media has emerged as a major source of news and other information. The unique nature of social media and the variety of platforms available to individuals present challenges for those who want to study and understand its psychological impact. Fortunately, many innovative studies on this subject have appeared in publications in the last few years. This edited volume features a collection of recently published studies focusing on the effects of social media news as well as the framing of social issues on these platforms. The authors of these studies used surveys, experiments, and content analysis to explore their research questions. Each chapter provides valuable insights on the growing influence of social media news. The chapters in this book were originally published in the journal Mass Communication and Society.

Social, Cultural, and Behavioral Modeling

Social, Cultural, and Behavioral Modeling PDF Author: Dongwon Lee
Publisher: Springer
ISBN: 3319602403
Category : Computers
Languages : en
Pages : 370

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Book Description
This book constitutes the refereed proceedings of the 10th International Conference on Social, Cultural, and Behavioral Modeling & Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2017, held in Washington, DC, USA, in July 2017. The 16 full papers and 27 short papers presented were carefully reviewed and selected from 79 submissions. Owing to its strong multi-disciplinary heritage, the papers represent a large range of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science and use numerous types of computational methods such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. They are organized in the following topical sections: behavioral and social sciences; cyber and intelligence applications; information, systems, and network sciences; and methodology.

Event History Modeling

Event History Modeling PDF Author: Janet M. Box-Steffensmeier
Publisher: Cambridge University Press
ISBN: 9780521546737
Category : Political Science
Languages : en
Pages : 236

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Book Description
Publisher Description

Information Spread in a Social Media Age

Information Spread in a Social Media Age PDF Author: Michael Muhlmeyer
Publisher: CRC Press
ISBN: 0429554400
Category : Computers
Languages : en
Pages : 279

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Book Description
Introduces the topic gently and intuitively with ample famous examples and case studies Develops and explains intuitively the information flow models, and thereafter builds the control theory for information management and propagation Includes mathematical treatment of information spread and fake news epidemics and step by step development of modeling framework Discusses Control methods and application examples Borrows from multiple disciplines and sub-disciplines and tries to create a new unified structure for digital information spread and control

Social-Behavioral Modeling for Complex Systems

Social-Behavioral Modeling for Complex Systems PDF Author: Paul K. Davis
Publisher: John Wiley & Sons
ISBN: 1119484979
Category : Technology & Engineering
Languages : en
Pages : 881

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Book Description
This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems

Web Information Systems Engineering – WISE 2021

Web Information Systems Engineering – WISE 2021 PDF Author: Wenjie Zhang
Publisher: Springer Nature
ISBN: 3030908887
Category : Computers
Languages : en
Pages : 669

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Book Description
This two-volume set constitutes the proceedings of the 22nd International Conference on Web Information Systems Engineering, WISE 2021, held in Melbourne, VIC, Australia, in October 2021. The 55 full, 29 short and 5 demo papers, plus 2 tutorials were carefully reviewed and selected from 229 submissions. The papers are organized in the following topical sections: Part I: BlockChain and Crowdsourcing; Database System and Workflow; Data Mining and Applications; Knowledge Graph and Entity Linking; Graph Neural Network; Graph Query; Social Network; Spatial and Temporal Data Analysis. Part II: Deep Learning (1), Deep Learning (2), Recommender Systems (1), Recommender Systems (2), Text Mining (1), Text Mining (2), Service Computing and Cloud Computing (1), Service Computing and Cloud Computing (2), Tutorial and Demo.

Complex Networks and Their Applications VIII

Complex Networks and Their Applications VIII PDF Author: Hocine Cherifi
Publisher: Springer Nature
ISBN: 3030366839
Category : Technology & Engineering
Languages : en
Pages : 1047

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Book Description
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Intelligent Analytics With Advanced Multi-Industry Applications

Intelligent Analytics With Advanced Multi-Industry Applications PDF Author: Sun, Zhaohao
Publisher: IGI Global
ISBN: 1799849643
Category : Computers
Languages : en
Pages : 392

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Book Description
Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

Story Money Impact: Funding Media for Social Change

Story Money Impact: Funding Media for Social Change PDF Author: Tracey Friesen
Publisher: CRC Press
ISBN: 1317508246
Category : Performing Arts
Languages : en
Pages : 271

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Book Description
Story Money Impact: Funding Media for Social Change by Tracey Friesen is a practical guide for media-makers, funders, and activists who share the common goal of creating an impact with their work. Today, social-issues storytellers are sharpening their craft, while funders with finite resources focus on reach, and strategic innovators bring more robust evaluation tools. Friesen illuminates the spark at the core of these three pursuits. Structured around stories from the front lines, Story Money Impact reveals best practices in the areas of documentary, digital content, and independent journalism. Here you will find: • Twenty-one stories from people behind such powerful works as CITIZENFOUR, The Corporation, Virunga, Being Caribou, Age of Stupid, and Food Inc. • Six key story ingredients for creating compelling content. • Six possible money sources for financing your work. • Six impact outcome goals to further your reach. • Seven practical worksheets for your own projects. • A companion website located at www.storymoneyimpact.com containing up-to-date information for those seeking the tools and inspiration to use media for social change.