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Oh, the Places You've Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing

https://doi.org/10.1145/3319535.3363200
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-94496-8_6openalex-snapshot
PrivacyMeter: Designing and Developing a Privacy-Preserving Browser Extension
inferredcites →https://doi.org/10.1093/jcr/ucw012openalex-snapshot
An Audience of One: Behaviorally Targeted Ads as Implied Social Labels
inferredcites →https://doi.org/10.1109/hicss.2012.245openalex-snapshot
End User Perception of Online Risk under Uncertainty
inferredcites →https://doi.org/10.1109/sitis.2008.47openalex-snapshot
Context and Keyword Extraction in Plain Text Using a Graph Representation
inferredcites →https://doi.org/10.1109/sp.2012.47openalex-snapshot
Third-Party Web Tracking: Policy and Technology
inferredcites →https://doi.org/10.1109/sp.2017.18openalex-snapshot
XHOUND: Quantifying the Fingerprintability of Browser Extensions
inferredcites →https://doi.org/10.1109/wi-iat.2015.64openalex-snapshot
ClRank: A Method for Keyword Extraction from Web Pages Using Clustering and Distribution of Nouns
inferredcites →https://doi.org/10.1145/1280680.1280688openalex-snapshot
Measuring privacy loss and the impact of privacy protection in web browsing
inferredcites →https://doi.org/10.1145/1330311.1330320openalex-snapshot
The psychology of security
inferredcites →https://doi.org/10.1145/1866919.1866929openalex-snapshot
Americans' attitudes about internet behavioral advertising practices
inferredcites →https://doi.org/10.1145/2207676.2207759openalex-snapshot
Why Johnny can't opt out
inferredcites →https://doi.org/10.1145/2335356.2335362openalex-snapshot
Smart, useful, scary, creepy
inferredcites →https://doi.org/10.1145/2381966.2381969openalex-snapshot
Understanding what they do with what they know
inferredcites →https://doi.org/10.1145/2381966.2381970openalex-snapshot
What do online behavioral advertising privacy disclosures communicate to users?
inferredcites →https://doi.org/10.1145/2447976.2447990openalex-snapshot
Discrimination in online ad delivery
inferredcites →https://doi.org/10.1145/2501604.2501611openalex-snapshot
What matters to users?
inferredcites →https://doi.org/10.1145/2501604.2501616openalex-snapshot
"Little brothers watching you"
inferredcites →https://doi.org/10.1145/2660267.2660347openalex-snapshot
The Web Never Forgets
inferredcites →https://doi.org/10.1145/2702123.2702174openalex-snapshot
Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed
inferredcites →https://doi.org/10.1145/2702123.2702210openalex-snapshot
Your Location has been Shared 5,398 Times!
inferredcites →https://doi.org/10.1145/2702123.2702274openalex-snapshot
Can an Algorithm Know the "Real You"?
inferredcites →https://doi.org/10.1145/2736277.2741679openalex-snapshot
Cookies That Give You Away
inferredcites →https://doi.org/10.1145/2808797.2809280openalex-snapshot
Public Information Exposure Detection
inferredcites →https://doi.org/10.1145/2810103.2813614openalex-snapshot
Sunlight
inferredcites →https://doi.org/10.1145/2858036.2858214openalex-snapshot
Privacy Personas
inferredcites →https://doi.org/10.1145/2858036.2858494openalex-snapshot
First I "like" it, then I hide it
inferredcites →https://doi.org/10.1145/2872427.2883028openalex-snapshot
Tracking the Trackers
inferredcites →https://doi.org/10.1145/2872427.2883034openalex-snapshot
TrackMeOrNot
inferredcites →https://doi.org/10.1145/2872518.2890590openalex-snapshot
Privacy Languages
inferredcites →https://doi.org/10.1145/2976749.2978313openalex-snapshot
Online Tracking
inferredcites →https://doi.org/10.1145/2998181.2998316openalex-snapshot
Folk Models of Online Behavioral Advertising
inferredcites →https://doi.org/10.1145/3025453.3025556openalex-snapshot
Better the Devil You Know
inferredcites →https://doi.org/10.1145/3027063.3053078openalex-snapshot
User Attitudes Towards Browsing Data Collection
inferredcites →https://doi.org/10.1145/3131365.3131387openalex-snapshot
The ad wars
inferredcites →https://doi.org/10.1145/3173574.3174006openalex-snapshot
Communicating Algorithmic Process in Online Behavioral Advertising
inferredcites →https://doi.org/10.1145/3267323.3268950openalex-snapshot
Invisible Pixels Are Dead, Long Live Invisible Pixels!
inferredcites →https://doi.org/10.1145/3267323.3268959openalex-snapshot
To Extend or not to Extend
inferredcites →https://doi.org/10.1145/3267323.3268962openalex-snapshot
The Accuracy of the Demographic Inferences Shown on Google's Ad Settings
inferredcites →https://doi.org/10.1145/3308558.3313666openalex-snapshot
Auditing Offline Data Brokers via Facebook's Advertising Platform
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1184/r1/13063583openalex-snapshot
Expecting the Unexpected: Understanding Mismatched Privacy Expectations Online
inferredcites →https://doi.org/10.1184/r1/13157591openalex-snapshot
Raise the Curtains: The Effect of Awareness About Targeting on Consumer Attitudes and Purchase Intentions
inferredcites →https://doi.org/10.1186/s13673-017-0121-6openalex-snapshot
Behind the scenes: a cross-country study into third-party website referencing and the online advertising ecosystem
inferredcites →https://doi.org/10.1201/9781498710411-35openalex-snapshot
SUS: A 'Quick and Dirty' Usability Scale
inferredcites →https://doi.org/10.1287/isre.1040.0032openalex-snapshot
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
inferredcites →https://doi.org/10.14722/eurousec.2018.23012openalex-snapshot
"This Website Uses Cookies": Users' Perceptions and Reactions to the Cookie Disclaimer
inferredcites →https://doi.org/10.14722/ndss.2015.23163openalex-snapshot
I Do Not Know What You Visited Last Summer: Protecting users from stateful third-party web tracking with TrackingFree browser
inferredcites →https://doi.org/10.14722/ndss.2017.23152openalex-snapshot
(Cross-)Browser Fingerprinting via OS and Hardware Level Features
inferredcites →https://doi.org/10.14722/ndss.2018.23191openalex-snapshot
Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations
inferredcites →https://doi.org/10.14722/ndss.2019.23392openalex-snapshot
Quantity vs. Quality: Evaluating User Interest Profiles Using Ad Preference Managers
inferredcites →https://doi.org/10.14722/usec.2015.23011openalex-snapshot
Participatory Design for Security-Related User Interfaces
inferredcites →https://doi.org/10.14722/usec.2016.23017openalex-snapshot
Watching Them Watching Me: Browser Extensions Impact on User Privacy Awareness and Concern
inferredcites →https://doi.org/10.1515/popets-2015-0007openalex-snapshot
Automated Experiments on Ad Privacy Settings
inferredcites →https://doi.org/10.1515/popets-2016-0009openalex-snapshot
(Do Not) Track Me Sometimes: Users’ Contextual Preferences for Web Tracking
inferredcites →https://doi.org/10.1515/popets-2018-0033openalex-snapshot
Diffusion of User Tracking Data in the Online Advertising Ecosystem
inferredcites →https://doi.org/10.1609/aaai.v24i1.7511openalex-snapshot
Keyword Extraction and Headline Generation Using Novel Word Features
inferredcites →https://doi.org/10.1609/icwsm.v11i1.14898openalex-snapshot
“Be Careful; Things Can Be Worse than They Appear”: Understanding Biased Algorithms and Users’ Behavior Around Them in Rating Platforms
inferredcites →https://doi.org/10.2307/2344565openalex-snapshot
Statistical Methods for Rates and Proportions.
inferredcites →https://doi.org/10.2307/2529310openalex-snapshot
The Measurement of Observer Agreement for Categorical Data
inferredcites →https://doi.org/10.3115/1699510.1699544openalex-snapshot
Clustering to find exemplar terms for keyphrase extraction
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3758/s13428-013-0434-yopenalex-snapshot
Reputation as a sufficient condition for data quality on Amazon Mechanical Turk
inferredcites →https://doi.org/10.48550/arxiv.1506.04104openalex-snapshot
Tracking Protection in Firefox For Privacy and Performance
inferredcites →https://doi.org/10.48550/arxiv.1811.00920openalex-snapshot
Tracing Information Flows Between Ad Exchanges Using Retargeted Ads
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
Introduction to information retrieval

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The myth of individual control: Mapping the limitations of privacy self-management
inferred← citeshttps://doi.org/10.2139/ssrn.4036987openalex-extracted
Facebook Shadow Profiles
inferred← citeshttps://doi.org/10.1007/978-3-030-63086-7_15openalex-snapshot
SmartSwitch: Efficient Traffic Obfuscation Against Stream Fingerprinting
inferred← citeshttps://doi.org/10.1007/978-3-031-35822-7_27openalex-snapshot
Look Before You Leap! Perceptions and Attitudes Towards Inferences in Wearable Fitness Trackers
inferred← citeshttps://doi.org/10.1007/978-3-031-76821-7_26openalex-snapshot
Peering into the Algorithmic Cosmos: A Narrative Game for Demystifying Privacy Data Circulation
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The Sky is Falling, UTAUT Has Failed! An Investigation of the Adoption of Privacy-Enhancing Technologies (PETs)
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Understanding contextual expectations for sharing wearables' data: Insights from a vignette study
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Seeing Ad Transparency More Clearly: Public Perception, Use of Ad Transparency Tools, and Responses to Dataveillance
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A Study on Web User's Attitude and Knowledge Towards Data Security and Privacy Issues of Web Browser Extensions
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SoK: After Decades of Web Tracker Detection, What's Next?
inferred← citeshttps://doi.org/10.1145/3313831.3376415openalex-snapshot
Taking Data Out of Context to Hyper-Personalize Ads
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Towards a Conceptual Model for Provoking Privacy Speculation
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'That's Not Me': Surprising Algorithmic Inferences
inferred← citeshttps://doi.org/10.1145/3378393.3402244openalex-snapshot
We Don't Give a Second Thought Before Providing Our Information
inferred← citeshttps://doi.org/10.1145/3411764.3445459openalex-snapshot
What Makes a “Bad” Ad? User Perceptions of Problematic Online Advertising
inferred← citeshttps://doi.org/10.1145/3419394.3423660openalex-snapshot
Mis-shapes, Mistakes, Misfits
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Cookie Banners and Privacy Policies: Measuring the Impact of the GDPR on the Web
inferred← citeshttps://doi.org/10.1145/3478122openalex-snapshot
Who Am I?
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Less is Not More: Improving Findability and Actionability of Privacy Controls for Online Behavioral Advertising
inferred← citeshttps://doi.org/10.1145/3549015.3555675openalex-snapshot
What Cookie Consent Notices Do Users Prefer: A Study In The Wild
inferred← citeshttps://doi.org/10.1145/3555762openalex-snapshot
Understanding Risks of Privacy Theater with Differential Privacy
inferred← citeshttps://doi.org/10.1145/3576915.3623084openalex-snapshot
AdCPG: Classifying JavaScript Code Property Graphs with Explanations for Ad and Tracker Blocking
inferred← citeshttps://doi.org/10.1145/3589958openalex-snapshot
Awareness, Intention, (In)Action: Individuals’ Reactions to Data Breaches
inferred← citeshttps://doi.org/10.1145/3593013.3594119openalex-snapshot
The Slow Violence of Surveillance Capitalism
inferred← citeshttps://doi.org/10.1145/3597503.3639159openalex-snapshot
CSChecker: Revisiting GDPR and CCPA Compliance of Cookie Banners on the Web
inferred← citeshttps://doi.org/10.1145/3603216.3624968openalex-snapshot
Analysis of Google Ads Settings Over Time: Updated, Individualized, Accurate, and Filtered
inferred← citeshttps://doi.org/10.1145/3613904.3642180openalex-snapshot
"I know even if you don't tell me": Understanding Users' Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization
inferred← citeshttps://doi.org/10.1145/3706598.3714318openalex-snapshot
Measuring Risks to Users' Health Privacy Posed by Third-Party Web Tracking and Targeted Advertising
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Layered, Overlapping, and Inconsistent: A Large-Scale Analysis of the Multiple Privacy Policies and Controls of U.S. Banks
inferred← citeshttps://doi.org/10.1145/3719027.3765113openalex-snapshot
PIIxel Leaks: Passive Identification of Personally Identifiable Information Leakage through Meta Pixel
inferred← citeshttps://doi.org/10.1145/3733816.3760751openalex-snapshot
Through Their Eyes: User Perceptions on Sensitive Attribute Inference of Social Media Videos by Visual Language Models
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Investigating User Perceptions of Visualising Inferred Sensitive Information as Privacy Avatars
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Depictions of Privacy Invasion and Surveillance in Artworks and Potential Lessons For Privacy Communication
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Transformational Provocations for Usable Privacy and Security
inferred← citeshttps://doi.org/10.1145/3809162openalex-snapshot
Exploring Perceptions of Federated Learning in Self-Tracking Apps: A Qualitative Study with Mostly Female Students
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Human-centered design of a privacy assistant and its impact on perceived transparency and intervenability
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Tracking on the Web, Mobile and the Internet of Things
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User Privacy in OAuth-Based Single Sign-On Systems
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The Pursuit of Transparency and Control: A Classification of Ad Explanations in Social Media
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Privacy Preference Signals: Past, Present and Future
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Who Knows I Like Jelly Beans? An Investigation Into Search Privacy
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Wormhole Whispers: Reflecting User Privacy Data Boundaries Through Algorithm Visualization
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Human Gaps in the Data Economy: Knowledge, Attitudes, and Behaviors Toward Online Tracking and Data Ownership
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Are Privacy Dashboards Good for End Users? Evaluating User Perceptions and Reactions to Google's My Activity (Extended Version)
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Security and Privacy Perceptions of Third-Party Application Access for Google Accounts (Extended Version)
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"Now I'm a bit angry:" Individuals' Awareness, Perception, and Responses to Data Breaches that Affected Them
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'Surprised, Shocked, Worried'}: User Reactions to Facebook Data Collection from Third Parties
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Website Data Transparency in the Browser
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How Does Connecting Online Activities to Advertising Inferences Impact Privacy Perceptions?
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Data-driven risk quantification for proactive security
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