Privacy, Ethics, and Future Uses of the Social Web
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A presentation to the Owen Graduate School of Management (Vanderbilt University) about social media and some of the technology behind the future uses of social media that are likely to shape the future of the Web as we know it.
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Privacy, Ethics, and Future Uses of the Social Web
- 1. 1! Privacy, Ethics, and Future Uses of the Social Web" Prepared for Owen Graduate School of Management (Vanderbilt University)! April 3, 2014! Matthew A. Russell (Chief Technology Officer @ Digital Reasoning)! Twitter: @ptwobrussell & @dreasoning!
- 2. Overview! • Intro (5 mins) • Mining the Social Web (5 mins) • "Know thy data..." (10 mins) • "...and know thyself" (15 mins) • Wrap Up/Final Q&A (15 mins) 2!
- 3. INTRO! 3!
- 4. Hello, My Name Is ... Matthew! • Background in Computer Science • Data mining, AI, machine learning, etc. • CTO @ Digital Reasoning Systems • Moving toward cognitive computing • Author • 5 published books on technology (just for fun) • CrossFit, triathlon, Bikram hot yoga • Stress management 4!
- 5. The only easy day was yesterday. -- Motto of the U.S. Navy SEALs 5!
- 6. It pays to be a winner. -- Motto of the U.S. Navy SEALs 6!
- 7. Mining the Social Web! 7!
- 8. Data Exhaust => Digital Fingerprints! • World population: ~7B people • Facebook: 1.15B users • Twitter: 500M users • Google+ 343M users • LinkedIn: 238M users • ~200M+ blogs (conservative estimate) 8!
- 9. • An open source software (OSS) project • http://bit.ly/MiningTheSocialWeb2E • A (rewritten) book • http://bit.ly/135dHfs • Accessible to (virtually) everyone • Virtual machine with turn-key coding templates for data science experiments • Think of the book as "premium" support for the OSS project Transforming Curiosity Into Insight! 9!
- 10. Table of Contents (1/2)! • Chapter 1 - Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More • Chapter 2 - Mining Facebook: Analyzing Fan Pages, Examining Friendships, and More • Chapter 3 - Mining LinkedIn: Faceting Job Titles, Clustering Colleagues, and More • Chapter 4 - Mining Google+: Computing Document Similarity, Extracting Collocations, and More • Chapter 5 - Mining Web Pages: Using Natural Language Processing to Understand Human Language, Summarize Blog Posts, and More • Chapter 6 - Mining Mailboxes: Analyzing Who's Talking to Whom About What, How Often, and More 10!
- 11. Table of Contents (2/2)! • Chapter 7 - Mining GitHub: Inspecting Software Collaboration Habits, Building Interest Graphs, and More • Chapter 8 - Mining the Semantically Marked-Up Web: Extracting Microformats, Inferencing over RDF, and More • Chapter 9 - Twitter Cookbook • Appendix A - Information About This Machine's Virtual Machine Experience • Appendix B - OAuth Primer • Appendix C - Python and IPython Notebook Tips & Tricks 11!
- 12. Anatomy of Each Chapter! • Brief Intro • Objectives • API Primer • Analysis Technique(s) • Data Visualization • Recap • Suggested Exercises • Recommended Resources 12!
- 13. Why You Should Use IPython Notebook! • Because it's great for hacking • And hacking is usually the first step • Because it's great for collaboration • Sharing/publishing results is trivial • Because the UX is as easy as working in a notepad • Think of it as "executable paper" • In short, it's a terrific learning platform for novices and experts alike 13!
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- 17. If we have data, let’s look at data. If we have opinions, let’s go with mine. --Jim Barksdale 17!
- 18. In God we trust. All others must bring data. --W. Edwards Deming 18!
- 19. Communication => Data! • Communication • Senders • humans & machines • Messages • natural language, images, videos, etc. • Recipients • humans & machines 19!
- 20. Data Alchemy! • Data: Documents & document fragments (text messages, etc.) • Information: "Assertions", summaries, tags, etc. • Knowledge: Aggregated, query-able information • Wisdom: “Compressed” knowledge • Gold: Money 20!
- 21. Data Mining = Curiosity + Stats! • Curiosity • Interests, desires, and intuitions • Statistics • Counting • Comparing • Filtering • Ranking • Hypothesis testing; knowledge discovery 21!
- 22. Machine Learning! • A program that learns (improves) from experience (data) according to some objective • Supervised learning • Unsupervised learning • Reinforcement learning • How to do it • Program mathematical models and hope for the best... • How to do it well • Program state-of-the-art mathematical models with sufficient representative data 22!
- 23. Knowledge is a process of piling up facts; wisdom lies in their simplification. --Martin Fischer 23!
- 24. Any sufficiently advanced technology is indistinguishable from magic. --Arthur C. Clarke 24!
- 26. Is Privacy Already an Illusion?! • Digital happenings circa 2014 • The Cloud • Social Media • Deep Learning • The Internet of Things • Internet.org 26!
- 27. Civilization is the progress toward a society of privacy. --Ayn Rand 27!
- 28. If you have something that you don’t want anyone to know, maybe you shouldn’t be doing it in the first place. -- Eric Schmidt, (former) CEO of Google 28!
- 29. Influences on Ethics! • Capitalism, economics, & marketing • A for-profit corporation's fiduciary duty: To maximize the common stock's value • How to do it? By transacting commerce • How do it well? By advertising more effectively than competitors • How to do it really well? With highly relevant personalized ads (recommenders) • Terms of Service (ToS) - The legal extent of ethical obligations? 29!
- 30. If you're not paying for the product, you are the product. -- Savvy consumers everywhere one day (?) 30!
- 31. For the wisdom of this world is foolishness... -- Saint Paul 31!
- 32. The Future of the Web...! • The Blue Pill: All of your precious data housed remotely and controlled by a few of the world's most powerful international corporations • The Red Pill: A distributed cloud controlled by no one with decentralized data and anonymity online as the status quo • The Purple Pill: Meet somewhere in the middle (?) • Significant legislative reforms concerning consumer data (?) • Consumer education with more transparency (?) • Resurgence of local/offline storage and anonymity online (?) 32!
- 33. The real danger is the gradual erosion of individual liberties through automation, integration, and interconnection of many small, separate record-keeping systems, each of which alone may seem innocuous, even benevolent, and wholly justifiable. -- Anonymous (U. S. Privacy Study Commission, 1977) 33!
- 34. . There are two primary choices in life: to accept conditions as they exist, or accept the responsibility for changing them. -- Dennis Waitley 34!