"Remote Synchronous" by default, but "Remote Asynchronous" is allowed if approved by the instructor
NOTE: ID/PWD to access course materials will be distributed in the first class
Week #1 (8/26): Introduction
Lecture: intro, how-research, zoom-recording
Week #2 (9/2): Machine Learning Basics
Lecture: ML1, ML2, zoom-recording
Week #3 (9/9) : Academic Frauds and Fakes => Bad Science
Lecture: vis, mistake, zoom-recording
Lab: music to die for
HW: critique
Resource
Storks deliver babies (p=0.008), Teaching Statistics, 2000
The Parable of Google Flu: Traps in Big Data Analysis, Science 2014
Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls, ICWSM 2014
The Visual Display of Quantitative Information, 2nd Edition, 2001
How Charts Lie, W. W. Norton & Company, 2019
Week #4 (9/16) : Academic Frauds and Fakes => Citation Game
Lecture: impact, oracle, zoom-recording
Lab: vacine
HW: critique
Resource
GOTO Rankings Considered Helpful, CACM 2019
A Physicist Experiments with Cultural Studies, Lingua Franca 1996
Ike Antkare, One of Great Stars in the Scientific Firmament, ISSR Newsletter, 2010
Manipulating Google Scholar Citations and Google Scholar Metrics: Simple, Easy and Tempting, arXiv 2012
Oracle, Where Shall I Submit My Papers?, CACM 2009
Scientific Articles Accepted (Personal Checks, Too), NY Times 2015
Call That Gibberish?, ACM Queue 2005
Week #5 (9/23) : Project #1 Discussion
Clickbait (DUE: Oct. 20)
Week #6 (9/30): Journalistic Frauds and Fakes => Clickbaits
Lecture: student, clickbait, zoom-recording
HW: critique
Resource
Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?, ASONAM 2017
Learning to Identify Ambiguous and Misleading News Headlines, IJCAI 2017
Characterizing Clickbaits on Instagram, ICWSM 2018
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder, AAAI 2019
Week #7 (10/7): Journalistic Frauds and Fakes => Fake News
Lecture: student, fakenews, zoom-recording
Lab: kahoot
HW: fakenews game
Resource
Inside a fake news sausage factory: 'This is all about income', NY Times 2016
The Spreading of Misinformation Online, PNAS 2015
The Science of Fake News, Science 2018
The Spread of True and False News Online, Science 2018
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News, SIGIR 2018
A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations, arXiv 2020
dEFEND: Explainable Fake News Detection, KDD 2019
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation, KDD 2020
Content-based Features Predict Social Media Influence Operations, Science Adv. 2020
Week #8 (10/14): Social Media Frauds and Fakes => False Identities
Lecture: student#1, student#2, identity, zoom-recording
Resource
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
Turning the Tide: Curbing Deceptive Yelp Behaviors, SDM 2014
Fraud and Malware Detection in Google Play, SDM, 2016
Wearing Many (Social) Hats: How Different are Your Different Social Network Personae?, ICWSM 2017
An Army of Me: Sockpuppets in Online Discussion Communities, WWW 2017
Week #9 (10/21): Social Media Frauds and Fakes => Fake Reviews and LIKEs
Lecture: student#1, student#2, astroturfing, zoom-recording
Assignment: fake review
Resource
The Best Book Reviews Money Can Buy, NY Times 2012
Opinion Spam and Analysis, WSDM 2008
Automated Crowdturfing Attacks and Defenses in Online Review Systems, CCS 2017
Uncovering Download Fraud Activities in MobileApp Markets, ASONAM2019
Stateless Puzzles for Real Time Online Fraud Preemption, WebSci 2017
Fake Identities in Social Media: A Case Study on the Sustainability of the Facebook Business Model, JSSR 2012
Week #10 (10/28): Social Engineering Frauds and Fakes => Phishing
Lecture: student#1, student#2, zoom-recording
Project #2 (Due: Dec. 8)
Resource
The Sleazy Life and Nasty Death of Russia's Spam King, Wired 2007
Social Phishing, CACM 2007
Is Domain Highlighting Actually Helpful in Identifying Phishing Web Pages? Human Factors 2017
Sunrise to Sunset: Analyzing the End-to-end Life Cycle and Effectiveness of Phishing Attacks at Scale, USENIX Security, 2020
PhishTime: Continuous Longitudinal Measurement of the Effectiveness of Anti-phishing Blacklists, USENIX Security, 2020
Week #11 (11/4): Social Engineering Frauds and Fakes => Spam
Lecture: student, social-eng, antispam, zoom-recording
Extra Credit: user-survey (DUE: Nov. 17)
Resource
A Plan for Spam, 2002
The Economics of Spam, J. Econ. Perspectives, 2012
A History of Digital Spam, CACM 2019
A survey and experimental evaluation of image spam filtering techniques, Pattern Recognition Letters 2011
Machine Learning for E-mail Spam Filtering: Review,Techniques and Trends, arXiv 2016
Efficient Clustering of Emails Into Spam and Ham: The Foundational Study of a Comprehensive Unsupervised Framework, IEEE Access 2020
Week #12 (11/11): Neural Frauds and Fakes => Deepfakes
Lecture: student#1, student#2, deepfake, zoom-recording
Resource
Week #13 (11/18): Neural Frauds and Fakes => Textual Attack and Defense
Final Exam: prep
Lecture: : student, guest, neural-attack, zoom-recording
Resource
HotFlip: White-Box Adversarial Examples for Text Classification. ACL 2018
TextBugger: Generating Adversarial Text Against Real-world Applications, NDSS 2019
Defending Against Neural Fake News, NeurIPS 2019
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models, ICDM 2020
Authorship Attribution for Neural Text Generation, EMNLP 2020
Week #15 (12/2): Project #2 Discussion
Week #16 (12/9): Project #2 Presentation