Provenance Data In Social Media

Author : Geoffrey Barbier
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608457842
Total Pages : 86 pages
Book Rating : 4.47/5 ( download)

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Download or read book Provenance Data in Social Media written by Geoffrey Barbier and published by Morgan & Claypool Publishers. This book was released on 2013-05-01 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media shatters the barrier to communicate anytime anywhere for people of all walks of life. The publicly available, virtually free information in social media poses a new challenge to consumers who have to discern whether a piece of information published in social media is reliable. For example, it can be difficult to understand the motivations behind a statement passed from one user to another, without knowing the person who originated the message. Additionally, false information can be propagated through social media, resulting in embarrassment or irreversible damages. Provenance data associated with a social media statement can help dispel rumors, clarify opinions, and confirm facts. However, provenance data about social media statements is not readily available to users today. Currently, providing this data to users requires changing the social media infrastructure or offering subscription services. Taking advantage of social media features, research in this nascent field spearheads the search for a way to provide provenance data to social media users, thus leveraging social media itself by mining it for the provenance data. Searching for provenance data reveals an interesting problem space requiring the development and application of new metrics in order to provide meaningful provenance data to social media users. This lecture reviews the current research on information provenance, explores exciting research opportunities to address pressing needs, and shows how data mining can enable a social media user to make informed judgements about statements published in social media. Table of Contents: Information Provenance in Social Media / Provenance Attributes / Provenance via Network Information / Provenance Data

Author : Geoffrey Barbier
Publisher : Springer Nature
ISBN 13 : 3031019040
Total Pages : 72 pages
Book Rating : 4.43/5 ( download)

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Download or read book Provenance Data in Social Media written by Geoffrey Barbier and published by Springer Nature. This book was released on 2022-05-31 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media shatters the barrier to communicate anytime anywhere for people of all walks of life. The publicly available, virtually free information in social media poses a new challenge to consumers who have to discern whether a piece of information published in social media is reliable. For example, it can be difficult to understand the motivations behind a statement passed from one user to another, without knowing the person who originated the message. Additionally, false information can be propagated through social media, resulting in embarrassment or irreversible damages. Provenance data associated with a social media statement can help dispel rumors, clarify opinions, and confirm facts. However, provenance data about social media statements is not readily available to users today. Currently, providing this data to users requires changing the social media infrastructure or offering subscription services. Taking advantage of social media features, research in this nascent field spearheads the search for a way to provide provenance data to social media users, thus leveraging social media itself by mining it for the provenance data. Searching for provenance data reveals an interesting problem space requiring the development and application of new metrics in order to provide meaningful provenance data to social media users. This lecture reviews the current research on information provenance, explores exciting research opportunities to address pressing needs, and shows how data mining can enable a social media user to make informed judgements about statements published in social media. Table of Contents: Information Provenance in Social Media / Provenance Attributes / Provenance via Network Information / Provenance Data

Author :
Publisher : Jeffrey Frank Jones
ISBN 13 :
Total Pages : 1835 pages
Book Rating : 4./5 ( download)

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Download or read book Publications Combined: The Role of Social Media in Crisis - Data Collection By The Public And Private Sectors As A Strategic Asset And To Prevent Terrorism written by and published by Jeffrey Frank Jones. This book was released on 2018-09-07 with total page 1835 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 1,800 total pages ... Included publications: Social Media and the Policy-Making Process a Traditional Novel Interaction Social Media Principles Applied to Critical Infrastructure Information Sharing Trolling New Media: Violent Extremist Groups Recruiting Through Social Media An Initial Look at the Utility of Social Media as a Foreign Policy Tool Indicators of Suicide Found on Social Networks: Phase 1 Validating the FOCUS Model Through an Analysis of Identity Fragmentation in Nigerian Social Media Providing Focus via a Social Media Exploitation Strategy Assessing the Use of Social Media in a Revolutionary Environment Social Media Integration into State-Operated Fusion Centers and Local Law Enforcement: Potential Uses and Challenges Using Social Media Tools to Enhance Tacit Knowledge Sharing Within the USMC Social Media: Strategic Asset or Operational Vulnerability? Tweeting Napoleon and Friending Clausewitz: Social Media and the Military Strategist The U.S. Military and Social Media Balancing Social Media with Operations Security (OPSEC) in the 21st Century Division Level Social Media Understanding Violence Through Social Media The Investigation of Social Media Data Thresholds for Opinion Formation The Impact of Social Media on the Nature of Conflict, and a Commander's Strategy for Social Media Provenance Data in Social Media Conflict Prediction Through Geo-Spatial Interpolation of Radicalization in Syrian Social Media Social Media Effects on Operational Art Assessing the Potential of Societal Verification by Means of New Media Army Social Media: Harnessing the Power of Networked Communications Analysis of Department of Defense Social Media Policy and Its Impact on Operational Security Social Media: Valuable Tools in Today's Operational Environment Conflict Prediction Through Geo-Spatial Interpolation of Radicalization in Syrian Social Media

Author : Leslie F. Sikos
Publisher : Springer Nature
ISBN 13 : 3030676811
Total Pages : 110 pages
Book Rating : 4.10/5 ( download)

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Download or read book Provenance in Data Science written by Leslie F. Sikos and published by Springer Nature. This book was released on 2021-04-26 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack maps that aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues. This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.

Author : John Salerno
Publisher : Springer
ISBN 13 : 364219656X
Total Pages : 384 pages
Book Rating : 4.60/5 ( download)

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Download or read book Social Computing, Behavioral-Cultural Modeling and Prediction written by John Salerno and published by Springer. This book was released on 2011-02-21 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, held in College Park, MD, USA, March 29-31, 2011. The 48 papers and 3 keynotes presented in this volume were carefully reviewed and selected from 88 submissions. The papers cover a wide range of topics including social network analysis; modeling; machine learning and data mining; social behaviors; public health; cultural aspects; and effects and search.

Author : Martin Atzmueller
Publisher : Springer Nature
ISBN 13 : 303034407X
Total Pages : 161 pages
Book Rating : 4.78/5 ( download)

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Download or read book Behavioral Analytics in Social and Ubiquitous Environments written by Martin Atzmueller and published by Springer Nature. This book was released on 2019-11-18 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 7 papers presented in this book are revised and significantly extended versions of papers submitted to three related workshops: 6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in Porto, Portugal, September 2015, in conjunction with the 6th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015; 6th International Workshop on Modeling Social Media, MSM 2015, held in Florence, Italy, May 2015, in conjunction with the 24th International World Wide Web Conference, WWW 2015; 7th International Workshop on Modeling Social Media, MSM 2016, Montreal, QC, Canada, April 2016, in conjunction with the 25th International World Wide Web Conference, WWW 2016.

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1482243288
Total Pages : 586 pages
Book Rating : 4.84/5 ( download)

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Download or read book Analyzing and Securing Social Networks written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2016-04-06 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technolo

Author : Ling Liu
Publisher :
ISBN 13 : 9781489979933
Total Pages : pages
Book Rating : 4.3X/5 ( download)

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Download or read book Encyclopedia of Database Systems written by Ling Liu and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Atefeh Farzindar
Publisher : Springer Nature
ISBN 13 : 3031021576
Total Pages : 158 pages
Book Rating : 4.72/5 ( download)

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Download or read book Natural Language Processing for Social Media written by Atefeh Farzindar and published by Springer Nature. This book was released on 2015-08-31 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, business intelligence, industry, marketing, and security and defense. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.

Author : Atefeh Farzindar
Publisher : Springer Nature
ISBN 13 : 3031021673
Total Pages : 188 pages
Book Rating : 4.71/5 ( download)

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Download or read book Natural Language Processing for Social Media, Second Edition written by Atefeh Farzindar and published by Springer Nature. This book was released on 2017-12-15 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.