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Social tagging revamped: supporting the users' need of self-promotion through persuasive techniques

Published: 10 April 2010 Publication History

Abstract

People share pictures online to increase their social presence. However, recent studies have shown that most of the content shared in social networks is not looked at by peers. Proper metadata can be generated and used to improve the retrieval of this content. In spite of this, we still lack solutions for collecting valid descriptors of content that can be used effectively in the context of social information navigation. In this paper, we propose a mechanism based on persuasive techniques to support peers in providing metadata for multimedia content that can be used for a person's self-promotion. Through an iterative design and experimentation process, we demonstrate how this methodology can be used effectively to increase one's social presence thus building more enjoyable, rich, and creative content that is shared in the social network. In addition, we highlight implications that inform the design of social games with a purpose.

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    cover image ACM Conferences
    CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2010
    2690 pages
    ISBN:9781605589299
    DOI:10.1145/1753326
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 10 April 2010

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    Author Tags

    1. facebook fatigue
    2. information overload
    3. metadata
    4. mutual modeling
    5. self-presentation
    6. social networks

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    • (2022)Personality Prediction of Social Network Users using LSTM based Sentiment Analysis2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)10.1109/ICSTSN53084.2022.9761329(1-6)Online publication date: 25-Mar-2022
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    • (2018)The Stimulators of Social Media Fatigue Among Students: Role of Moral DisengagementJournal of Educational Computing Research10.1177/073563311878190757:5(1083-1107)Online publication date: 14-Jun-2018
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