Social media (SM) have become an integral part of our lives, expanding our inter-linking capabilities to new levels. There is plenty to be said about their positive effects. On the other hand however, some serious negative implications of SM have repeatedly been highlighted in recent years, pointing at various SM threats for society, and its teenagers in particular: from common issues (e.g. digital addiction and polarization) and manipulative influences of algorithms to teenager-specific issues (e.g. body stereotyping). The full impact of current SM platform design -- both at an individual and societal level -- asks for a comprehensive evaluation and conceptual improvement. We extend measures of Collective Well-Being (CWB) to SM communities. As users' relationships and interactions are a central component of CWB, education is crucial to improve CWB. We thus propose a framework based on an adaptive "social media virtual companion" for educating and supporting the entire students' community to interact with SM. The virtual companion will be powered by a Recommender System (CWB-RS) that will optimize a CWB metric instead of engagement or platform profit, which currently largely drives recommender systems thereby disregarding any societal collateral effect. CWB-RS will optimize CWB both in the short term, by balancing the level of SM threat the students are exposed to, as well as in the long term, by adopting an Intelligent Tutor System role and enabling adaptive and personalized sequencing of playful learning activities. This framework offers an initial step on understanding how to design SM systems and embedded educational interventions that favor a more healthy and positive society.
翻译:社会媒体(SM)已成为我们生活的一个组成部分,将我们之间的内在联系能力扩大到新的层面,将我们的健康媒体(SM)平台设计的全面影响 -- -- 无论是个人还是社会层面 -- -- 要求进行全面的评价和概念改进。我们把集体福利(CWB)措施推广到SM社区。由于用户关系和互动是CWB的核心组成部分,教育对于改善CWB至关重要。因此,我们提出了一个基于适应性“社会媒体虚拟同伴”的框架,以教育和支持整个学生群体与SM互动。虚拟伴侣将受到一个建议系统(CWB-RS)的推动,该系统将优化CWB衡量标准而不是参与或平台利润。 目前,我们把集体福利(CWB)措施推广到SB社区。由于用户关系和互动是CWB的核心组成部分,因此教育对于改善CWB至关重要。 以适应性“社会媒体虚拟伴侣”为基础,以教育和支持整个学生群体与SM互动。虚拟伴侣将由一个建议系统(CWB-RS-RS-RS)的优势系统(CWB-RS)提供最优化的干预,而不是参与或平台利润。在最初阶段里程中,这在很大程度上推动着使CWB-SB的系统(C-SB)能够使C-SB的自我升级,使得C-SB系统能够使C-lax-lax-lax-lax-lax-lax-lax-lax)系统成为一个最接近。