NOTE: ID/PWD to access course materials will be distributed in the first class.
Week #1 (8/21-25): Introduction
Lecture: Introduction to Fraud Informatics
Calling Bullshit In the Age of Big Data, U. Washington, 2017
Information manipulation, Prof. Xinyu Xing
Fri: Jupyter Notebook Lab
Week #2 (8/28-9/1): Basic Machine Learning Skills (supervised)
Lecture: Introduction to Machine Learning
Lecture: Classification review
Fri: Weka Lab => Survey #1, IST VLab, Lab #1, Weka tutorial
Fri: Team Presentation Assignment
Week #3 (9/4-9/8) : Basic Machine Learning Skills (unsupervised)
9/4: LABOR DAY--NO CLASS
Lecture: Clustering review
Fri: Weka Lab => Lab #2
Week #4 (9/11-15): Fake News
The Infamous “War of the Worlds” Radio Broadcast Was a Magnificent Fluke, Smithsonian.com, 2015
Inside a fake news sausage factory: 'This is all about income', NY Times, 2016
Here's how to outsmart fake news in your Facebook feed, CNN.com, 2016
The Fake News Machine, CNN.com, 2017
ClaimBuster, U. Texas, Arlington
Week #5 (9/18-22): Fake News
Evaluating Information: The Cornerstone of Civic Online Reasoning, Stanford History Education Group, 2016
The spread of fake news by social bots, arXiv, 2017 [Group 11: Muhammad Shah & Anita Chen]
The spreading of misinformation online, PNAS, 2015 [Group 8: Oscar Sanjuan & Nadia Makarova]
This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News, NECO, 2017 [Group 5: Philip Chwistek & Tyler Nuss]
Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News, NAACL-HLT, 2016 [Group 7: Tyler Donaghy & Corey Manley]
Week #6 (9/25-29): Junk Conferences/Journals
Lecture: Detecting fake conferences
Scientific Articles Accepted (Personal Checks, Too), NY Times, 2015
Major publisher retracts 43 scientific papers amid wider fake peer-review scandal, The Washington Post, 2015
Retraction Watch: Tracking retractions as a window into the scientific process
Inauthetic Paper Detector, Indiana U., 2006
Call That Gibberish?, ACM Queue, 2005
Team Presentation 2nd Article DUE (10/1 11:59 PM)
Week #7 (10/2-6): Junk Conferences/Journals
Lecture: journal impact
A physicist experiments with cultural studies, Lingua Franca, 1996 [Group 15: Pakshan Latiwala & Michael Leung]
Oracle, Where Shall I Submit My Papers?, ACM Comm. of the ACM, 2009
Toward Alternative Measures for Ranking Venues: A Case of Database Research Community, ACM/IEEE JCDL, 2007
Using Compression to Identify Classes of Inauthentic Texts, SIAM SDM, 2006 [Group 10: Dong Heo & Amanda Schweizer]
Week #8 (10/9-13): Astroturfing, Sockpuppets, and Catfish
Lecture: "an army of me" paper
The Best Book Reviews Money Can Buy, NY Times, 2012
The Weird Reasons Why People Make Up False Identities on the Internet, Wired, 2014
Catfish: How Manti Te’o’s imaginary romance got its name, Boston Globe, 2013
Spotting Fake Reviewer Groups in Consumer Reviews, WWW, 2012
Opinion Spam and Analysis, ACM WSDM, 2008 [Group 14: Piotr Chrzanowski, Aaron Seip, and Sam Borai]
Fraud and Malware Detection in Google Play, SIAM SDM, 2016 [Group 3: Yuk Yau & Timothy Preston]
Week #9 (10/16-20): Astroturfing, Sockpuppets, and Catfish
Lecture:"turning the tide" paper
What Yelp Fake Review Filter Might Be Doing, AAAI ICWSM, 2013 [Group 13: Kevin Blackman & Steven Weber]
Turning the Tide: Curbing Deceptive Yelp Behaviors, SIAM SDM, 2014
Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media, AAAI ICWSM 2013 [Group 1: Greg Bern & Ross Karwath]
Pinning Down Abuse on Google Maps, WWW, 2017
An Army of Me: Sockpuppets in Online Discussion Communities, WWW, 2017
Week #10 (10/23-27): Project #2: Design/Implementation of Fraud Detection/Prevention
Week #11 (10/30-11/3): Spam, Phishing, and Social Engineering Attacks
The Sleazy Life and Nasty Death of Russia's Spam King, Wired, 2007 [Group 12: Darrin Johnson, Jr. & Hellen Sarmiento]
What is the point of spam e-mail?, The Economist, 2017 [Group 4: Bryce Williams & Scott Wilson]
Week #12 (11/6-10): Spam, Phishing, and Social Engineering Attacks
A survey and experimental evaluation of image spam filtering techniques, Pattern Recognition Letters, 2011 [Group 2: Brian Morehouse, Stephen Wilson & Rolando Acevedo]
A Survey of Learning-based Techniques of Email Spam Filtering, U. Trento, 2008
Machine Learning for E-mail Spam Filtering: Review,Techniques and Trends, arXiv, 2016 [Group 16: Ralph, David & Yifeng]
Week #13 (11/13-17): Fraud LIKEs
Uncovering Fake Likers in Online Social Networks, ACM CIKM, 2016 [Group 6: Assima Egbame &Ruochong Li]
Stateless Puzzles for Real Time Online Fraud Preemption, ACM Web Science, 2017
Week #14 (11/20-24): THANKSGIVING WEEK--NO CLASS
Week #15 (11/27-12/1): Project #2 Discussion
Week #16 (12/4-8): Project #2 Presentation
FINAL EXAM (Written): 12/8, FRI, 12:20-2pm, E206 Westgate