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Does this App Really Need My Location?
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-30921-2_17openalex-snapshot
AndroidLeaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale
inferredcites →https://doi.org/10.1145/2046707.2046779openalex-snapshot
Android permissions demystified
inferredcites →https://doi.org/10.1145/2046707.2046780openalex-snapshot
These aren't the droids you're looking for
inferredcites →https://doi.org/10.1145/2501604.2501616openalex-snapshot
"Little brothers watching you"
inferredcites →https://doi.org/10.1145/2556288.2557400openalex-snapshot
The effect of developer-specified explanations for permission requests on smartphone user behavior
inferredcites →https://doi.org/10.1145/2702123.2702210openalex-snapshot
Your Location has been Shared 5,398 Times!
inferredcites →https://doi.org/10.1145/2702123.2702404openalex-snapshot
Privacy Tipping Points in Smartphones Privacy Preferences
inferredcites →https://doi.org/10.1145/2750858.2805833openalex-snapshot
Using text mining to infer the purpose of permission use in mobile apps
inferredcites →https://doi.org/10.1184/r1/13063619openalex-snapshot
Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions
inferredcites →https://doi.org/10.1184/r1/6470267openalex-snapshot
Modeling Users’ Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings
inferredcites →https://doi.org/10.14722/ndss.2015.23089openalex-snapshot
Information-Flow Analysis of Android Applications in DroidSafe
inferredcites →https://doi.org/10.48550/arxiv.1510.01419openalex-snapshot
Haystack: A Multi-Purpose Mobile Vantage Point in User Space
inferredcites →https://doi.org/10.5555/1924943.1924971openalex-snapshot
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.2734openalex-snapshot
Component‐based permission management of Android applications
inferred← citeshttps://doi.org/10.1007/978-3-030-04840-2_4openalex-snapshot
Benchmarking Privacy Policies in the Mobile Application Ecosystem
inferred← citeshttps://doi.org/10.1007/978-3-030-93944-1_4openalex-snapshot
Rethinking the Limits of Mobile Operating System Permissions
inferred← citeshttps://doi.org/10.1007/978-3-031-02486-3openalex-snapshot
Privacy in Mobile and Pervasive Computing
inferred← citeshttps://doi.org/10.1007/978-3-031-42280-5_39openalex-snapshot
SELFI: Evaluation of Techniques to Reduce Self-report Fatigue by Using Facial Expression of Emotion
inferred← citeshttps://doi.org/10.1007/978-3-031-74353-5_2openalex-snapshot
Empowering User Security Awareness and Risk Assessment Within Gamified Smartphone Environment
inferred← citeshttps://doi.org/10.1007/s10207-025-01098-wopenalex-snapshot
CI2P-MedHFDroid: a context-aware individual privacy preferences model for medical, health & fitness android apps
inferred← citeshttps://doi.org/10.1007/s10664-025-10742-xopenalex-snapshot
The whos, whats, and whys of issues related to personal data and data protection in open-source projects on GitHub
inferred← citeshttps://doi.org/10.1007/s10940-025-09637-3openalex-snapshot
Spatial Networks of Neighborhood Violence
inferred← citeshttps://doi.org/10.1007/s44206-022-00028-wopenalex-snapshot
A Value-centered Exploration of Data Privacy and Personalized Privacy Assistants
inferred← citeshttps://doi.org/10.1016/j.bcra.2024.100220openalex-snapshot
PrivySeC: A secure and privacy-compliant distributed framework for personal data sharing in IoT ecosystems
inferred← citeshttps://doi.org/10.1080/15230406.2026.2710916openalex-snapshot
One mobile map does not fit everyone: a research agenda for responsibly adapting mobile maps for all
inferred← citeshttps://doi.org/10.1093/cybsec/tyaa014openalex-snapshot
Predicting smartphone location-sharing decisions through self-reflection on past privacy behavior
inferred← citeshttps://doi.org/10.1109/access.2024.3447017openalex-snapshot
Securing Personally Identifiable Information: A Survey of SOTA Techniques, and a Way Forward
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00056openalex-snapshot
Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding
inferred← citeshttps://doi.org/10.1109/conit65521.2025.11167447openalex-snapshot
Improving Mobile App Efficiency in Bandwidth-constrained Areas of Developing Regions
inferred← citeshttps://doi.org/10.1109/cscloud-edgecom49738.2020.00045openalex-snapshot
CUPA: A Configurable User Privacy Approach For Android Mobile Application
inferred← citeshttps://doi.org/10.1109/icse-companion55297.2022.9793833openalex-snapshot
UIPDroid: Unrooted Dynamic Monitor of Android App UIs for Fine-Grained Permission Control
inferred← citeshttps://doi.org/10.1109/jiot.2020.3039472openalex-snapshot
Automatic Permission Optimization Framework for Privacy Enhancement of Mobile Applications
inferred← citeshttps://doi.org/10.1109/percomw.2018.8480227openalex-snapshot
How a Pattern-based Privacy System Contributes to Improve Context Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2021.3088121openalex-snapshot
Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions
inferred← citeshttps://doi.org/10.1109/tse.2019.2941936openalex-snapshot
Enhancing Trustability of Android Applications via User-Centric Flexible Permissions
inferred← citeshttps://doi.org/10.1145/3201064.3201089openalex-snapshot
Third Party Tracking in the Mobile Ecosystem
inferred← citeshttps://doi.org/10.1145/3243734.3243817openalex-snapshot
Situational Access Control in the Internet of Things
inferred← citeshttps://doi.org/10.1145/3355369.3355584openalex-snapshot
Reducing Permission Requests in Mobile Apps
inferred← citeshttps://doi.org/10.1145/3360322.3360868openalex-snapshot
Who can Access What, and When?
inferred← citeshttps://doi.org/10.1145/3411764.3445599openalex-snapshot
“Money makes the world go around”: Identifying Barriers to Better Privacy in Children’s Apps From Developers’ Perspectives
inferred← citeshttps://doi.org/10.1145/3432919openalex-snapshot
How Developers Talk About Personal Data and What It Means for User Privacy
inferred← citeshttps://doi.org/10.1145/3447535.3462507openalex-snapshot
An Analysis of Web Tracking Domains in Mobile Applications
inferred← citeshttps://doi.org/10.1145/3481357.3481513openalex-snapshot
Examining Power Use and the Privacy Paradox between Intention vs. Actual Use of Mobile Applications
inferred← citeshttps://doi.org/10.1145/3491102.3502012openalex-snapshot
Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels
inferred← citeshttps://doi.org/10.1145/3491102.3517652openalex-snapshot
Permission vs. App Limiters: Profiling Smartphone Users to Understand Differing Strategies for Mobile Privacy Management
inferred← citeshttps://doi.org/10.1145/3511047.3537677openalex-snapshot
Context Adaptive Personalized Privacy for Location-based Systems
inferred← citeshttps://doi.org/10.1145/3524013openalex-snapshot
Modern tech can't shield your secret identity
inferred← citeshttps://doi.org/10.1145/3545258.3545282openalex-snapshot
Automatic Maturity Rating for Android Apps
inferred← citeshttps://doi.org/10.1145/3551349.3559556openalex-snapshot
Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps
inferred← citeshttps://doi.org/10.1145/3590777.3590790openalex-snapshot
Towards detecting device fingerprinting on iOS with API function hooking
inferred← citeshttps://doi.org/10.1145/3613904.3642283openalex-snapshot
KOALA Hero Toolkit: A New Approach to Inform Families of Mobile Datafication Risks
inferred← citeshttps://doi.org/10.1145/3613904.3642815openalex-snapshot
PriviAware: Exploring Data Visualization and Dynamic Privacy Control Support for Data Collection in Mobile Sensing Research
inferred← citeshttps://doi.org/10.1145/3655693.3655695openalex-snapshot
Haven't we met before? - Detecting Device Fingerprinting Activity on Android Apps
inferred← citeshttps://doi.org/10.1145/3676519openalex-snapshot
Privacy Slider: Fine-Grain Privacy Control for Smartphones
inferred← citeshttps://doi.org/10.1145/3714393.3726508openalex-snapshot
Multi-Device Context-Sensitive Attacks Against Privacy
inferred← citeshttps://doi.org/10.1145/3772318.3790320openalex-snapshot
A Scoping Review and Guidelines on Privacy Policy's Visualization from an HCI Perspective
inferred← citeshttps://doi.org/10.1155/2019/5743892openalex-snapshot
An Empirical Study of Cross-Platform Mobile Development in Industry
inferred← citeshttps://doi.org/10.14288/1.0368657openalex-snapshot
Contextual permission models for better privacy protection
inferred← citeshttps://doi.org/10.14722/ndss.2021.24100openalex-snapshot
PrivacyFlash Pro: Automating Privacy Policy Generation for Mobile Apps
inferred← citeshttps://doi.org/10.1515/popets-2018-0035openalex-snapshot
NoMoAds: Effective and Efficient Cross-App Mobile Ad-Blocking
inferred← citeshttps://doi.org/10.2196/50826openalex-snapshot
Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study
inferred← citeshttps://doi.org/10.2200/s00882ed1v01y201810mpc013openalex-snapshot
Privacy in Mobile and Pervasive Computing
inferred← citeshttps://doi.org/10.2478/popets-2019-0020openalex-snapshot
Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing
inferred← citeshttps://doi.org/10.2478/popets-2020-0017openalex-snapshot
NoMoATS: Towards Automatic Detection of Mobile Tracking
inferred← citeshttps://doi.org/10.2478/popets-2022-0033openalex-snapshot
Are iPhones Really Better for Privacy? A Comparative Study of iOS and Android Apps
inferred← citeshttps://doi.org/10.48550/arxiv.1912.12526openalex-snapshot
Real World Longitudinal iOS App Usage Study at Scale
inferred← citeshttps://doi.org/10.48550/arxiv.2002.00091openalex-snapshot
Using Inaudible Audio to Improve Indoor-Localization- and Proximity-Aware Intelligent Applications
inferred← citeshttps://doi.org/10.48550/arxiv.2008.08973openalex-snapshot
Exposures Exposed: A Measurement and User Study to Assess Mobile Data Privacy in Context
inferred← citeshttps://doi.org/10.48550/arxiv.2104.12032openalex-snapshot
The Design of the User Interfaces for Privacy Enhancements for Android
inferred← citeshttps://doi.org/10.48550/arxiv.2304.06367openalex-snapshot
The whos, whats, and whys of issues related to personal data and data protection in open-source projects on GitHub
inferred← citeshttps://doi.org/10.7488/ds/3045openalex-snapshot
Deciding on Personalized Ads: Nudging Developers About User Privacy
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