Reference health

The Persuasive Effect of Privacy Recommendations for Location Sharing Services

https://doi.org/10.2139/ssrn.2399725
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2 of 60 checkable references need attention · checked 2026-08-03

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

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The 58 checked references that resolve
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Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
resolves10.1007/s00779-010-0346-0
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Influencing Individually
resolves10.1086/209535
Constructive Consumer Choice Processes
resolves10.1145/1864708.1864724
Understanding choice overload in recommender systems
resolves10.1007/978-1-4419-6967-5_9
The Policy Maker's Anguish: Regulating Personal Data Behavior Between Paradoxes and Dilemmas
resolves10.1145/1054972.1054985
Location disclosure to social relations
resolves10.1145/642611.642713
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resolves10.1609/aaai.v25i1.8097
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
resolves10.1145/2209310.2209314
Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective
resolves10.1007/11428572_10
A Formal Model of Obfuscation and Negotiation for Location Privacy
resolves10.1561/1100000009
Collaborative Filtering Recommender Systems
resolves10.1287/mksc.1030.0033
Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses
resolves10.1287/mksc.19.1.4.15178
Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids
resolves10.1080/10705519909540118
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resolves10.1007/11551201_13
Control, Deception, and Communication: Evaluating the Deployment of a Location-Enhanced Messaging Service
resolves10.1023/A:1019104520776
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resolves10.1086/656423
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resolves10.1145/2207676.2208552
Talking in circles
resolves10.1145/1180875.1180947
Context-aware telephony
resolves10.1145/2365952.2365966
Inspectability and control in social recommenders
resolves10.1145/2499670
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resolves10.1145/2449396.2449448
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resolves10.1145/2470654.2481369
Preference-based location sharing
resolves10.1016/j.ijhcs.2013.06.003
Dimensionality of information disclosure behavior
resolves10.1007/s11257-011-9118-4
Explaining the user experience of recommender systems
resolves10.1007/s11257-011-9112-x
Recommender systems: from algorithms to user experience
resolves10.1109/mnet.2010.5578914
Sharing location in online social networks
resolves10.1145/1978942.1979295
I'm the mayor of my house
resolves10.1145/2068816.2068823
Analyzing facebook privacy settings
resolves10.1145/587078.587096
On the recommending of citations for research papers
resolves10.1145/1125451.1125659
Being accurate is not enough
resolves10.1111/j.1083-6101.2004.tb00292.x
Privacy, Trust, and Disclosure: Exploring Barriers to Electronic Commerce
resolves10.1145/1056808.1057073
A study of preferences for sharing and privacy
resolves10.5860/choice.50-0926
The filter bubble: how the new personalized Web is changing what we read and how we think
resolves10.2753/mis0742-1222270205
Empirical Analysis of the Impact of Recommender Systems on Sales
resolves10.1007/978-3-540-72079-9_10
Content-Based Recommendation Systems
resolves10.1145/245108.245121
Recommender systems
resolves10.1007/s00779-008-0214-3
Understanding and capturing people’s privacy policies in a mobile social networking application
resolves10.1145/371920.372071
Item-based collaborative filtering recommendation algorithms
resolves10.1086/651235
Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload
resolves10.1086/209205
Choice Based on Reasons: The Case of Attraction and Compromise Effects
resolves10.1145/2441776.2441865
The post that wasn't
resolves10.1126/science.3287615
Measuring the Accuracy of Diagnostic Systems
resolves10.1145/2207676.2207730
The implications of offering more disclosure choices for social location sharing
resolves10.1007/s00779-012-0632-0
Crowdsourcing privacy preferences in context-aware applications
resolves10.1145/1864349.1864364
Empirical models of privacy in location sharing
resolves10.1037/h0032955
Elimination by aspects: A theory of choice.
resolves10.1007/978-3-540-73078-1_19
Respecting Users’ Individual Privacy Constraints in Web Personalization
resolves10.1145/2078827.2078841
"I regretted the minute I pressed share"
resolves10.1068/a34234
“I Can't Talk Now, I'm in a Fitting Room”: Formulating Availability and Location in Mobile-Phone Conversations
resolves10.1145/2493432.2493436
Privacy manipulation and acclimation in a location sharing application
resolves10.1016/j.dss.2010.11.017
The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing
resolves10.2753/mis0742-1222260305
The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services
The 16 references without a DOI — listed, not checked
no DOI — not checkedHow Privacy Policy Affects Sign-Ups -Surprising Data From 4 A/B Tests
no DOI — not checkedWhat Can Behavioral Economics Teach Us About Privacy?
no DOI — not checkedWhat is privacy worth?
no DOI — not checkedref13
no DOI — not checkedref22
no DOI — not checkedConducting Usable Privacy & Security Studies with Amazon's Mechanical Turk
no DOI — not checkedTailoring Privacy to Users' Needs (Invited Keynote)," in User Modeling
no DOI — not checkedInternet Opt-In and Opt-Out: Investigating the Roles of Frames, Defaults and Privacy Concerns
no DOI — not checkedDon't Disturb My Circles! Boundary Preservation Is at the Center of Location-Sharing Concerns
no DOI — not checkedref55
no DOI — not checkedref57
no DOI — not checkedStrategies and struggles with privacy in an online social networking community
no DOI — not checkedref64
no DOI — not checkedWho's viewed you?: the impact of feedback in a mobile location-sharing application
no DOI — not checkedUsing Latent Features Diversification to Reduce Choice Difficulty in Recommendation Lists
no DOI — not checkedThree-quarters of smartphone owners use location-based services
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