首页> 外文会议>International Conference on Advanced Collaborative Networks, Systems and Applications >Challenges of Digital Era: Potential and Pitfalls of Social Media. Ethics and Trust in Collaborative Cross-Domains
【24h】

Challenges of Digital Era: Potential and Pitfalls of Social Media. Ethics and Trust in Collaborative Cross-Domains

机译:数字时代的挑战:社交媒体的潜在和陷阱。合作交叉域的道德和信任

获取原文

摘要

The paper surveys the risks and benefits what a user faces in networked environment and how those challenges can be competed. The question is how to measure a potential or benefits of such complex phenomenon as the collaborative cross-domains in social media. We propose an innovative solution – to consider this in context of digital tools and the entities involved into cooperation-collaboration: core researchers, engineers developing information systems and tools, marketing technologists, users-consumers of services and products. The ways of collecting data and measures for protection privacy issues of data collected online as they were applied during the last two decades are overviewed in this paper. There is no universal law protecting online user's privacy in global world and hardly will it be ever. For a while only the awareness of the users, the Codes of Professional Ethics and a fairness of firms involved into collaboration could help them to avoid pitfalls hidden in social media. The summary table shows at a glance benefits and dangers met in social media by its explorers and users. An example included demonstrates how consumers' data can be analyzed and used by companies for behavioral targeting via clustering model and Bayesian approach in recommender systems.
机译:该论文调查了网络环境中的用户面临的风险和利益,以及如何竞争这些挑战。问题是如何衡量这种复杂现象的潜在或益处作为社交媒体中的协同跨领域。我们提出了一种创新的解决方案 - 在数字工具和参与合作协作的实体中考虑这一点:核心研究人员,工程师开发信息系统和工具,营销技术人员,服务和产品消费者的消费者。本文概述了在线收集数据的数据和保护措施的数据和措施,以在过去二十年中在线应用的数据。没有普遍的法律保护在线用户在全球世界中的隐私,几乎不会永远。有一段时间只是对用户的认识,职业道德的代码和参与合作的公司的公平可以帮助他们避免隐藏在社交媒体上的陷阱。摘要表以浏览器和用户在社交媒体中达成了一瞥的好处和危险。包括一个示例,演示了如何通过群集模型和推荐系统中的培养模型和贝叶斯方法来分析和使用消费者的数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号