Polls, clickbait, and commemorative $2 bills: problematic political advertising on news and media websites around the 2020 U.S. elections
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Tadayoshi Kohno | Franziska Roesner | Miranda Wei | Eric Zeng | Theo Gregersen | Paul G. Allen | Franziska Roesner | T. Kohno | Eric Zeng | Miranda Wei | Theo Gregersen | Tadayoshi Kohno
[1] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[2] Eric Van Steenburg,et al. Areas of research in political advertising: a review and research agenda , 2015 .
[3] Georgina Kennedy,et al. Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection , 2016, Journal of medical Internet research.
[4] Gianluca Stringhini,et al. The Dark Alleys of Madison Avenue: Understanding Malicious Advertisements , 2014, Internet Measurement Conference.
[5] Christo Wilson,et al. Tracing Information Flows Between Ad Exchanges Using Retargeted Ads , 2018, USENIX Security Symposium.
[6] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[7] R'emi Louf,et al. HuggingFace's Transformers: State-of-the-art Natural Language Processing , 2019, ArXiv.
[8] Oana Goga,et al. Understanding the Complexity of Detecting Political Ads , 2021, WWW.
[9] Jordan Wolf,et al. Disclaiming responsibility: How platforms deadlocked the Federal Election Commission's efforts to regulate digital political advertising , 2019, Telecommunications Policy.
[10] James Bailey,et al. Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance , 2010, J. Mach. Learn. Res..
[11] Li Yun,et al. Short Text Topic Modeling Techniques, Applications, and Performance: A Survey , 2019, IEEE Transactions on Knowledge and Data Engineering.
[12] Francis R. Bach,et al. Online Learning for Latent Dirichlet Allocation , 2010, NIPS.
[13] Michael Röder,et al. Exploring the Space of Topic Coherence Measures , 2015, WSDM.
[14] Christopher D. Manning,et al. Stanza: A Python Natural Language Processing Toolkit for Many Human Languages , 2020, ACL.
[15] G. M. Allan,et al. Kappa statistic , 2005, Canadian Medical Association Journal.
[16] James Bailey,et al. Adjusting for Chance Clustering Comparison Measures , 2015, J. Mach. Learn. Res..
[17] Brandon M Stewart,et al. Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle , 2023, Big Data & Society.
[18] E. V. Steenburg,et al. Areas of research in political advertising: a review and research agenda , 2015 .
[19] L. L. Kaid. Political Advertising in the United States , 2006 .
[20] Piotr Sapiezynski,et al. Discrimination through Optimization , 2019, Proc. ACM Hum. Comput. Interact..
[21] Jorge Delva,et al. The presidential election. , 2008, Social work.
[22] Julia Hirschberg,et al. V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure , 2007, EMNLP.
[23] Johnny Saldaña,et al. The Coding Manual for Qualitative Researchers , 2009 .
[24] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[25] R. Posner. The Federal Trade Commission , 1969 .
[26] Arvind Narayanan,et al. Dark patterns , 2020, Commun. ACM.
[27] Shekhar Misra. Deceptive Political Advertising: Some New Dimensions , 2015 .
[28] Tet Hin Yeap,et al. Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis , 2020, Frontiers in Artificial Intelligence.
[29] Tobias Lauinger,et al. A Security Analysis of the Facebook Ad Library , 2020, 2020 IEEE Symposium on Security and Privacy (SP).
[30] Xiang Pan,et al. Are these Ads Safe: Detecting Hidden Attacks through the Mobile App-Web Interfaces , 2016, NDSS.
[31] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[32] Ashley Carr. LibGuides: Low Quality Websites: Content Farms: What is a Content Farm? , 2011 .
[33] Niels Provos,et al. All Your iFRAMEs Point to Us , 2008, USENIX Security Symposium.
[34] Wouter Joosen,et al. Cookieless Monster: Exploring the Ecosystem of Web-Based Device Fingerprinting , 2013, 2013 IEEE Symposium on Security and Privacy.
[35] Pamela E. Grimm,et al. The Challenges Native Advertising Poses: Exploring Potential Federal Trade Commission Responses and Identifying Research Needs , 2018, Journal of Public Policy & Marketing.
[36] Wei Meng,et al. Understanding Malvertising Through Ad-Injecting Browser Extensions , 2015, WWW.
[37] Paul G. Allen,et al. What Makes a “Bad” Ad? User Perceptions of Problematic Online Advertising , 2021, CHI.
[38] Arvind Narayanan,et al. An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. , 2018 .
[39] David Wetherall,et al. Detecting and Defending Against Third-Party Tracking on the Web , 2012, NSDI.
[40] G. Raskutti,et al. The Stealth Media? Groups and Targets behind Divisive Issue Campaigns on Facebook , 2018, Political Communication.
[41] Arvind Narayanan,et al. Dark patterns , 2020, ACM Queue.
[42] Roberto Perdisci,et al. Towards Measuring and Mitigating Social Engineering Software Download Attacks , 2016, USENIX Security Symposium.
[43] Thomas Wolf,et al. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter , 2019, ArXiv.
[44] Tadayoshi Kohno,et al. Bad News: Clickbait and Deceptive Ads on News and Misinformation Websites , 2020 .
[45] D. Balzarotti,et al. Journey to the Center of the Cookie Ecosystem: Unraveling Actors' Roles and Relationships , 2021, 2021 IEEE Symposium on Security and Privacy (SP).
[46] A. Korolova,et al. Discrimination through Optimization , 2019, Proc. ACM Hum. Comput. Interact..
[47] M. McHugh. Interrater reliability: the kappa statistic , 2012, Biochemia medica.
[48] Crain,et al. Political Manipulation and Internet Advertising Infrastructure , 2019, Journal of Information Policy.
[49] Chinmay Kulkarni,et al. Auditing Digital Platforms for Discrimination in Economic Opportunity Advertising , 2020, ArXiv.
[50] Jianyong Wang,et al. A dirichlet multinomial mixture model-based approach for short text clustering , 2014, KDD.
[51] Arvind Narayanan,et al. Endorsements on Social Media , 2018, Proc. ACM Hum. Comput. Interact..
[52] Scot Burton,et al. A New Era at Journal of Public Policy & Marketing Begins , 2019, Journal of Public Policy & Marketing.
[53] Fang Yu,et al. Knowing your enemy: understanding and detecting malicious web advertising , 2012, CCS '12.
[54] Krishna P. Gummadi,et al. Privacy Risks with Facebook's PII-Based Targeting: Auditing a Data Broker's Advertising Interface , 2018, 2018 IEEE Symposium on Security and Privacy (SP).
[55] Ling Chen,et al. Multi-layer multi-view topic model for classifying advertising video , 2017, Pattern Recognit..
[56] Wouter Joosen,et al. Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation , 2018, NDSS.
[57] Tobias Konitzer,et al. Campaigning Online: Web Display Ads in the 2012 Presidential Campaign , 2016, PS: Political Science & Politics.
[58] Travis N. Ridout,et al. Spending Fast and Furious: Political Advertising in 2020 , 2021 .
[59] Roxana Geambasu,et al. Sunlight: Fine-grained Targeting Detection at Scale with Statistical Confidence , 2015, CCS.
[60] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[61] M. Cugmas,et al. On comparing partitions , 2015 .
[62] Damon McCoy,et al. An Analysis of United States Online Political Advertising Transparency , 2019, ArXiv.
[63] Valerie Gray Hardcastle,et al. Ways of Knowing , 1996, Consciousness and Cognition.
[64] Paul J. Kennedy,et al. An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit , 2020, Inf. Process. Manag..