Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Cross-Cultural Privacy Prediction

Cross-Cultural Privacy Prediction AbstractThe influence of cultural background on people’s privacy decisions is widely recognized. However, a cross-cultural approach to predicting privacy decisions is still lacking. Our paper presents a first integrated cross-cultural privacy prediction model that merges cultural, demographic, attitudinal and contextual prediction. The model applies supervised machine learning to users’ decisions on the collection of their personal data, collected from a large-scale quantitative study in eight different countries. We find that adding culture-related predictors (i.e. country of residence, language, Hofstede’s cultural dimensions) to demographic, attitudinal and contextual predictors in the model can improve the prediction accuracy. Hofstede’s variables - particularly individualism and indulgence - outperform country and language. We further apply generalized linear mixed-effect regression to explore possible interactions between culture and other predictors. We find indeed that the impact of contextual and attitudinal predictors varies between different cultures. The implications of such models in developing privacy-enabling technologies are discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings on Privacy Enhancing Technologies de Gruyter

Cross-Cultural Privacy Prediction

Download PDF
20 pages

Loading next page...
 
/lp/de-gruyter/cross-cultural-privacy-prediction-nuKDzw1C91
Publisher
de Gruyter
Copyright
© 2017 Yao Li et al., published by De Gruyter Open
ISSN
2299-0984
eISSN
2299-0984
DOI
10.1515/popets-2017-0019
Publisher site
See Article on Publisher Site

Abstract

AbstractThe influence of cultural background on people’s privacy decisions is widely recognized. However, a cross-cultural approach to predicting privacy decisions is still lacking. Our paper presents a first integrated cross-cultural privacy prediction model that merges cultural, demographic, attitudinal and contextual prediction. The model applies supervised machine learning to users’ decisions on the collection of their personal data, collected from a large-scale quantitative study in eight different countries. We find that adding culture-related predictors (i.e. country of residence, language, Hofstede’s cultural dimensions) to demographic, attitudinal and contextual predictors in the model can improve the prediction accuracy. Hofstede’s variables - particularly individualism and indulgence - outperform country and language. We further apply generalized linear mixed-effect regression to explore possible interactions between culture and other predictors. We find indeed that the impact of contextual and attitudinal predictors varies between different cultures. The implications of such models in developing privacy-enabling technologies are discussed.

Journal

Proceedings on Privacy Enhancing Technologies – de Gruyter

Published: Apr 1, 2017

References

  • Privacy Attitudes and Privacy Behavior In editors of volume ofAdvances in pages US
    Acquisti
  • Cultural and generational influences on privacy concerns : a qualitative study in seven European countries
    Miltgen
  • Proposing the online community self - disclosure model : the case of working professionals in France the who use online communities
    Posey
  • Who wants to know what when ? privacy preference determinants in ubiquitous computing InProceedings of the SIGCHI Conference on Human Factors in pages
    Lederer
  • Hofstede s Culture Dimensions An Independent Validation Using Rokeach s Value Survey of Cross - Cultural
    Hofstede
  • multinational study on online privacy : global concerns and local responses
    Cho
  • Values Personal Regulatory Approaches
    Milberg
  • National Culture and the Values of Organizational Employees A Dimensional Analysis Across of Cross - Cultural
    Smith
  • How internet users privacy concerns have evolved since Jan
    Anton
  • The theory of planned behavior
    Ajzen
  • Location Sharing Privacy Preference and Personalized Recommendation InProceedings of the th International Conference on Intelligent User pages New
    Xie
  • Hofstede Dimensionalizing The Hofstede Model in Context Online Readings in Culture
  • Privacy Regulation Culturally Universal or Culturally Specific of
    Altman
  • Adaptive Information - sharing for Privacy - aware Mobile Social InProceedings of the International Joint Conference on Pervasive and Ubiquitous pages New York
    Bilogrevic
  • Dimensions of Privacy Concern Among Online Consumers of
    Sheehan
  • Internet Users Privacy Concerns and Beliefs About Government Surveillance : An Exploratory Study of Differences Between Italy and the United States
    Dinev
  • Hofstede What did GLOBE really measure Researchers minds versus respondents minds
  • Connection Chinese Values and the Search for Culture - Free Dimensions of Culture of Cross - Cultural
    June
  • Location Sharing Privacy Preference and Personalized Recommendation InProceedings of the th International Conference on Intelligent User pages New
    Xie
  • Privacy calculus model in e - commerce a study of Italy and the United States
    Dinev
  • Programs for
    Quinlan
  • Input data for decision trees with Feb
    Piramuthu
  • Measuring Individuals Concerns about Organizational Practices
    Smith
  • Gender Commerce An Exploratory Study of
    Rodgers
  • Strangers on a Plane : Context - Dependent Willingness to Divulge Sensitive of Feb
    John
  • Privacy Concerns and Consumer Willingness to Provide Personal of
    Phelps
  • meta - analysis of mobile commerce adoption and the moderating effect of culture in
    Zhang
  • Gender Commerce An Exploratory Study of
    Rodgers
  • Hofstede never studied culture Accounting and Jan
    Baskerville
  • Privacy calculus model in e - commerce a study of Italy and the United States
    Dinev
  • Strangers on a Plane : Context - Dependent Willingness to Divulge Sensitive of Feb
    John
  • of information disclosure behavior of -
    Knijnenburg
  • The theory of planned behavior
    Ajzen
  • a machine learning workbench of the Second Australian and New Zealand Conference on Intelligent pages Nov
    Holmes
  • Corporate National Regulation Feb
    Milberg
  • National Culture and the Values of Organizational Employees A Dimensional Analysis Across of Cross - Cultural
    Smith
  • Dimensions of Privacy Concern Among Online Consumers of
    Sheehan
  • Culture Consequences Comparing Values Behaviors Institutions Organizations Across
    Hofstede
  • Are There Universal Aspects in the Structure and Contents of Human Values of Jan
    Schwartz
  • comparative study of country elites : International differences in work - related values and learning and their implications for management training and development thesis University of North Carolina at
    Hoppe
  • Culture at work in aviation and national organizational and professional influences
    Helmreich
  • An investigation of gender differences in on - line privacy concerns and resultant behaviors of
    Bartel Sheehan
  • How Country Characteristics Affect the Perceived Value of Web Sites of
    Steenkamp
  • Hofstede s Culture Dimensions An Independent Validation Using Rokeach s Value Survey of Cross - Cultural
    Hofstede
  • Services quality dimensions of Internet retailing : an exploratory analysis of
    Yang
  • Who wants to know what when ? privacy preference determinants in ubiquitous computing InProceedings of the SIGCHI Conference on Human Factors in pages
    Lederer
  • Hofstede What did GLOBE really measure Researchers minds versus respondents minds
  • Culture at work in aviation and national organizational and professional influences
    Helmreich
  • Knijnenburg user - tailored approach to privacy decision support Ph Thesis University of California CA
    Irvine
  • Predicting Privacy Behavior on Online International AAAI Conference on Web and Social Media pages Publications
    Dong
  • Disclosure Profiles for Segmentation and Recommendation Workshop on Privacy Personas and Segmentation CA
    Knijnenburg
  • Disclosure Profiles for Segmentation and Recommendation Workshop on Privacy Personas and Segmentation CA
    Knijnenburg
  • Individualism collectivism volume xv ofNew directions in social Boulder CO US
    Triandis
  • International Differences in Concerns Global Survey of Consumers The Nov
    Bellman
  • How Country Characteristics Affect the Perceived Value of Web Sites of
    Steenkamp
  • Input data for decision trees with Feb
    Piramuthu
  • Patterns of individualism and collectivism across the United States of and Aug
    Vandello
  • multinational study on online privacy : global concerns and local responses
    Cho
  • Cultural and generational influences on privacy concerns : a qualitative study in seven European countries
    Miltgen
  • Programs for
    Quinlan
  • Corporate National Regulation Feb
    Milberg
  • Knijnenburg user - tailored approach to privacy decision support Ph Thesis University of California CA
    Irvine
  • Patterns of individualism and collectivism across the United States of and Aug
    Vandello
  • Adaptive Information - sharing for Privacy - aware Mobile Social InProceedings of the International Joint Conference on Pervasive and Ubiquitous pages New York
    Bilogrevic
  • An investigation of gender differences in on - line privacy concerns and resultant behaviors of
    Bartel Sheehan
  • comparative study of country elites : International differences in work - related values and learning and their implications for management training and development thesis University of North Carolina at
    Hoppe
  • meta - analysis of mobile commerce adoption and the moderating effect of culture in
    Zhang
  • Contextual Determinants for Users Acceptance of Personal Data Processing Multinational Technical Report UCI Institute for Software Research University of California
    Leon
  • Privacy Attitudes and Privacy Behavior In editors of volume ofAdvances in pages US
    Acquisti
  • a machine learning workbench of the Second Australian and New Zealand Conference on Intelligent pages Nov
    Holmes
  • Measuring Individuals Concerns about Organizational Practices
    Smith
  • Empirical models of privacy in location sharing InProceedings of the th ACM international conference on Ubiquitous computing pages
    Toch
  • Connection Chinese Values and the Search for Culture - Free Dimensions of Culture of Cross - Cultural
    June
  • Culture Consequences Comparing Values Behaviors Institutions Organizations Across
    Hofstede
  • Predicting Privacy Behavior on Online International AAAI Conference on Web and Social Media pages Publications
    Dong
  • Contextual Determinants for Users Acceptance of Personal Data Processing Multinational Technical Report UCI Institute for Software Research University of California
    Leon
  • Services quality dimensions of Internet retailing : an exploratory analysis of
    Yang
  • Empirical models of privacy in location sharing InProceedings of the th ACM international conference on Ubiquitous computing pages
    Toch
  • Privacy Concerns and Consumer Willingness to Provide Personal of
    Phelps
  • Privacy Regulation Culturally Universal or Culturally Specific of
    Altman
  • How internet users privacy concerns have evolved since Jan
    Anton
  • Culture Leadership Organizations The GLOBE Study of Societies Publications
    House
  • Culture Leadership Organizations The GLOBE Study of Societies Publications
    House
  • Privacy in Context Technology Policy and the Integrity of Social Life University Nov
    Nissenbaum
  • Hofstede Dimensionalizing The Hofstede Model in Context Online Readings in Culture
  • of information disclosure behavior of -
    Knijnenburg
  • Internet Users Privacy Concerns and Beliefs About Government Surveillance : An Exploratory Study of Differences Between Italy and the United States
    Dinev
  • Hofstede never studied culture Accounting and Jan
    Baskerville
  • Privacy in Context Technology Policy and the Integrity of Social Life University Nov
    Nissenbaum
  • Direct marketing activities and personal privacy consumer survey Direct
    Wang
  • International Differences in Concerns Global Survey of Consumers The Nov
    Bellman
  • Are There Universal Aspects in the Structure and Contents of Human Values of Jan
    Schwartz
  • Individualism collectivism volume xv ofNew directions in social Boulder CO US
    Triandis
  • Direct marketing activities and personal privacy consumer survey Direct
    Wang
  • Values Personal Regulatory Approaches
    Milberg
  • Proposing the online community self - disclosure model : the case of working professionals in France the who use online communities
    Posey