Introduction to Social Media Investigation

A Hands-On Approach
Erscheinungsjahr 2015
ISBN: 978-0-12-801656-5
Verlag: Elsevier Science

Buch, Englisch, 306 Seiten, Format (B × H): 186 mm x 231 mm, Gewicht: 644 g

If you're interested in using social media as an investigative tool, Introduction to Social Media Investigation will show you how! Social networks and social media, like Facebook, Twitter, and Foursquare, are some of the most popular services on the Web, with hundreds of millions of users. The public information that people share on these sites can be valuable for anyone interested in investigating people of interest through open, public sources.

Social media as an investigative device is in its infancy and not well understood. This book presents an overview of social media and discusses special skills and techniques to use when conducting investigations. The book features hands-on tutorials and case studies and offers additional data-gathering techniques.

Autoren/Hrsg.

Golbeck, Jennifer

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0

Inhaltsverzeichnis

Section I: Introduction 1. Introduction 2. The Basics of Social Media Section II Techniques 3. Social Connections 4. Privacy Settings 5. Finding People on Social Media 6. Types of Personal Information 7. Location Section III: Major Social Networking Sites Hands-on tutorials, with case studies demonstrating how to apply the above techniques to specific sites. 8. Facebook 9. Twitter 10. FourSquare 11. Pinterest 12. LinkedIn 13. Google+ 14. Tumblr 15. Instagram 16. YouTube Section IV: Smaller Sites 17. Forums / Question Answering 18. Networking sites 19. Image and video sharing Section V: Getting More Data 20. Apps and API access 21. Crowd sourcing 22. Inferring traits from profiles 23. Ensemble Learners 24. Getting Started with RapidMiner

Über Autor(innen)

Golbeck, Jennifer
Jennifer Golbeck Ph.D Is an Associate Professor in the College of Information Studies and Director of the Human-Computer Interaction Lab at the University of Maryland, College Park. Her research interests include social network and social media analysis, recommender systems, trust on the web, human computer interaction and and how to use social relationships to improve the way people interact with information. She was named as one of IEEE Intelligent System's "Top Ten to Watch", is a Research Fellow in the Web Science Research Initiative and is a sought after speaker on social media