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Relationship between Willingness to Share Photos and Preferred Level of Photo Blurring for Privacy Protection

https://doi.org/10.1145/2818869.2818931
0 signed · 22 inferred · view as graph

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/10.1007/978-3-540-77409-9_14openalex-snapshot
PriSurv: Privacy Protected Video Surveillance System Using Adaptive Visual Abstraction
inferredcites →https://doi.org/10.1007/978-3-642-40779-6_13openalex-snapshot
Privacy Visor: Method for Preventing Face Image Detection by Using Differences in Human and Device Sensitivity
inferredcites →https://doi.org/10.1016/s0010-8804(97)81475-9openalex-snapshot
Price-sensitivity measurement A tool for the hospitality industry
inferredcites →https://doi.org/10.1109/mic.2013.100openalex-snapshot
Social-Network-Sourced Big Data Analytics
inferredcites →https://doi.org/10.1109/picmet.2003.1222809openalex-snapshot
Incorporating price sensitivity measurement into the software engineering process
inferredcites →https://doi.org/10.1109/picmet.2007.4349523openalex-snapshot
Price Sensitivity Measurement and New Product Pricing: A Cognitive Response Approach
inferredcites →https://doi.org/10.1177/001088049703800223openalex-snapshot
Price-Sensitivity Measurement
inferredcites →https://doi.org/10.2139/ssrn.2479938openalex-snapshot
A New Privacy Paradox: Young People and Privacy on Social Network Sites
inferredcites →https://doi.org/10.5210/fm.v11i9.1394openalex-snapshot
A privacy paradox: Social networking in the United States

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4159601openalex-extracted
Willingness of Sharing Facial Data for Emotion Recognition - A Case Study in the Insurance Market
inferred← citeshttps://doi.org/10.1007/s00146-023-01690-5openalex-snapshot
Willingness of sharing facial data for emotion recognition: a case study in the insurance market
inferred← citeshttps://doi.org/10.1109/cvprw.2017.176openalex-snapshot
Blur vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for Images
inferred← citeshttps://doi.org/10.1109/gcce.2016.7800554openalex-snapshot
Requirements for smart privacy aware photo sharing services by visual abstraction
inferred← citeshttps://doi.org/10.1109/icccmla56841.2022.9989244openalex-snapshot
Privacy and Data Control on Social Networks using Deep Learning
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10308285openalex-snapshot
Facial Detection and Anonymization for Privacy Protection from Social Networking Sites(SNS)
inferred← citeshttps://doi.org/10.1109/icoei53556.2022.9776842openalex-snapshot
Retracted: Survey on Image Authentication and Privacy in Public Networks
inferred← citeshttps://doi.org/10.1109/icsadl65848.2025.10933359openalex-snapshot
Secure Photo Sharing Across Platforms Using Blockchain Technology
inferred← citeshttps://doi.org/10.1145/3134702openalex-snapshot
Effectiveness and Users' Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos
inferred← citeshttps://doi.org/10.1145/3161190openalex-snapshot
Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation
inferred← citeshttps://doi.org/10.1145/3461778.3462073openalex-snapshot
The Trial of Posit in Shared Offices: Controlling Disclosure Levels of Schedule Data for Privacy by Changing the Placement of a Personal Interactive Calendar
inferred← citeshttps://doi.org/10.1145/3613904.3642103openalex-snapshot
Examining Human Perception of Generative Content Replacement in Image Privacy Protection
inferred← citeshttps://doi.org/10.1145/3757695openalex-snapshot
Understanding User Needs and Attitudes for Privacy Protection Tools in Online Visual Content Sharing
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