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Book Source: Digital Library of India Item 2015.34206 dc.contributor.author: Lewin Kurt dc.contributor.author: Lewin Gertrud Weiss dc.date.accessioned: 2015-06-25T17:46:08Z dc.date.available: 2015-06-25T17:46:08Z dc.date.citation: 1948 dc.identifier.barcode: 99999990227515 dc.identifier.origpath: /data3/upload/0082/415 dc.identifier.copyno: 1 dc.identifier.uri: http://www.new.dli.ernet.in/handle/2015/34206 dc.description.scanningcentre: UOD, Delhi dc.description.main: 1 dc.description.tagged: 0 dc.description.totalpages: 252 dc.format.mimetype: application/pdf dc.language.iso: English dc.publisher: Harper And Brothers dc.rights: Not Available dc.source.library: Central Library, Delhi University dc.subject.classification: Sociology dc.subject.classification: Social Psychology dc.subject.classification: Culture dc.title: Resolving Social Conflicts Selected Papers On Group Dynamics

Artykuł w: Studia Iuridica Lublinensia. Vol. 31, 2 (2022), s. 11-32

Source: Digital Library of India Scanning Centre: C-DAC, Noida Source Library: Ncert Date Accessioned: 6/24/2015 2:27 The Digital Library of India was a project under the auspices of the Government of India.

Book Source: Digital Library of India Item 2015.197012 dc.contributor.author: Kurt Lewin dc.date.accessioned: 2015-07-08T09:52:53Z dc.date.available: 2015-07-08T09:52:53Z dc.date.digitalpublicationdate: 2030-05-06 dc.date.citation: 1945 dc.identifier.barcode: 5990010096911 dc.identifier.origpath: /rawdataupload/upload/0096/911 dc.identifier.copyno: 1 dc.identifier.uri: http://www.new.dli.ernet.in/handle/2015/197012 dc.description.scanningcentre: IIIT, Allahabad dc.description.main: 1 dc.description.tagged: 0 dc.description.totalpages: 243 dc.format.mimetype: application/pdf dc.language.iso: English dc.publisher: Harper And Rao New York dc.rights: Out_of_copyright dc.source.library: University Liberey Allahabad dc.subject.classification: English(literature) dc.title: Resolving Social Conflicts

RESOLVING SOCIAL CONFLICTS SELECTED PAPERS ON GROUP DYNAMICS By Kurt Lewin Group Dynamics Edited by GERTRUD WEISS LEWIN Foreword by GORDO W. ALPORT Foreword by Gordon W. Allort vii Preface PART I PROBLEMS OF CHANGING CULTURE XV 1. Social-Psychological Differences between the United States and Germany 3 2. Cultural Reconstruction 34 3. The Special Case of Germany 43 4. Conduct, Knowledge, and Acceptance of New Values 56 PAR II CoNFLICTS IN FACE-To-FACE GROUPS 5. Experiments in Social Space 71 6. The Background of Conflct in Marriage 84 7. Time Perspective and Morale 103 8. The Solution of a Chronic Conflct in Industry 125 PAR III INTER-GRouP CoNFLICTS AND GRouP BELONGINGNESS 9· Psycho-Sociological Problems of a Minority Group 145 10. When Facing Danger 159 11. Bringing Up the Jewish Child 169 12. Self-Hatred among Jews 186 13. Acton Research and Minority Problems 201

Items shared through Social Media may affect more than one user's privacy --- e.g., photos that depict multiple users, comments that mention multiple users, events in which multiple users are invited, etc. The lack of multi-party privacy management support in current mainstream Social Media infrastructures makes users unable to appropriately control to whom these items are actually shared or not. Computational mechanisms that are able to merge the privacy preferences of multiple users into a single policy for an item can help solve this problem. However, merging multiple users' privacy preferences is not an easy task, because privacy preferences may conflict, so methods to resolve conflicts are needed. Moreover, these methods need to consider how users' would actually reach an agreement about a solution to the conflict in order to propose solutions that can be acceptable by all of the users affected by the item to be shared. Current approaches are either too demanding or only consider fixed ways of aggregating privacy preferences. In this paper, we propose the first computational mechanism to resolve conflicts for multi-party privacy management in Social Media that is able to adapt to different situations by modelling the concessions that users make to reach a solution to the conflicts. We also present results of a user study in which our proposed mechanism outperformed other existing approaches in terms of how many times each approach matched users' behaviour.

Items shared through Social Media may affect more than one user's privacy --- e.g., photos that depict multiple users, comments that mention multiple users, events in which multiple users are invited, etc. The lack of multi-party privacy management support in current mainstream Social Media infrastructures makes users unable to appropriately control to whom these items are actually shared or not. Computational mechanisms that are able to merge the privacy preferences of multiple users into a single policy for an item can help solve this problem. However, merging multiple users' privacy preferences is not an easy task, because privacy preferences may conflict, so methods to resolve conflicts are needed. Moreover, these methods need to consider how users' would actually reach an agreement about a solution to the conflict in order to propose solutions that can be acceptable by all of the users affected by the item to be shared. Current approaches are either too demanding or only consider fixed ways of aggregating privacy preferences. In this paper, we propose the first computational mechanism to resolve conflicts for multi-party privacy management in Social Media that is able to adapt to different situations by modelling the concessions that users make to reach a solution to the conflicts. We also present results of a user study in which our proposed mechanism outperformed other existing approaches in terms of how many times each approach matched users' behaviour.

Data shared through Social Media may influence more than one client's protection "” e.g., Information that portray diverse clients, remarks that specify distinctive clients, occasions in which diverse clients are welcomed, and so forth. In this paper, numerous kinds of protection administration bolster in show standard Social Media establishment makes clients unfit to fittingly control the sender and collector. Computational systems that can combine the security inclinations of diverse clients into a solitary strategy for a thing can help understand this issue. Combining diverse client's close to home inclinations is troublesome thus clashes happen in security inclinations, so techniques to determine clashes are required. Also, these systems need to consider how clients' would really reach an engagement about an answer for the contention so as to propose arrangements that can be satisfactory by the greater part of the clients influenced by the data to be shared. exhibit approaches are either excessively requesting or just consider settled methods for amassing protection inclinations. Here, we present the fundamental computational system to beat issues in Social Media that can adjust to various circumstances by demonstrating the concessions that clients make to achieve a responses to the clashes. The present consequences of a client examine in which our presented component beat other present approaches regarding how frequently each approach coordinated clients' activity. Tadisetty Nagamani | SD Nagul Meera Sayyed"Adaptive Conflict Resolution Mechanism for Multi-party Privacy Conflicts Resolving in Social Media" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11367.pdf http://www.ijtsrd.com/computer-science/other/11367/adaptive-conflict-resolution-mechanism-for-multi-party-privacy-conflicts-resolving-in-social-media/tadisetty-nagamani