SoCS: Collaborative Research: Novel Algorithms and Interaction Mechanisms to Enhance Social Production

SoCS：协作研究：增强社会生产的新颖算法和交互机制

• 批准号: 1210863
• 负责人: Loren Terveen
• 金额: $ 52.71万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1210863&HistoricalAwards=false
• 关键词: SoCS; Collaborative; Research; Novel; Algorithms

Millions of people used social media technologies to organize themselves to produce information and artifacts of value, such as Wikipedia, GNU/Linux, and PatientsLikeMe. However, these communities have significant problems: (1) They work so well to let people maintain existing relationships and find others who are similar to them that they can promote self-segregation and opinion polarization. (2) Knowledge production has been democratized, but at the price of devaluing expert participation. (3) They open people to fresh ideas from far-off places, but few sites incorporate the rich local knowledge of home communities. This project addresses these problems by creating algorithms and user interfaces that nudge individuals and communities into more effective patterns of social connections and interaction. The intellectual merit includes: (1) Identification of principles people use to build their social networks, the range of potential contacts they consider, and the contexts in which they encounter potential contacts. (2) Empirical knowledge of the effectiveness of different social network structures for solving a range of realistic decision-making tasks. (3) Novel social recommendation algorithms that maximize network effectiveness and that recommend interaction opportunities that serve as contexts for communication and connection.Broader impacts: This research will be performed in the context of two domains of societal interest, parenting and bicycling, enabling significant broader impacts. Providing people information that gives them confidence to bicycle more increases their personal health, decreases air pollution, and improves community cohesion. Research shows that parents with larger and more diverse social networks make better parenting decisions, and that parents also seek expert advice for specific issues. Therefore, a system that helps people form effective social networks and that provides access to expert educators offers direct benefits to parents. Better parents also tend to be more involved in their communities; thus, improved community health is a bonus effect. Finally, through the research team's connections with parent educators, the project will explicitly target parents from low-income families, who have the greatest needs for support and information.

数以百万计的人使用社交媒体技术组织自己来生产有价值的信息和文物，例如Wikipedia，gnu/linux和患者。但是，这些社区有重大的问题：（1）他们非常有效地使人们保持现有关系并找到与他们相似的其他人，以至于他们可以促进自我隔离和观点两极分化。 （2）知识生产已被民主化，但以贬值专家参与的代价。 （3）他们将人们从遥远的地方开放给新的想法，但是很少有网站融合了家庭社区丰富的当地知识。该项目通过创建算法和用户界面来解决这些问题，这些算法和用户界面将个人和社区推向更有效的社交联系和互动模式。智力优点包括：（1）确定人们用来建立社交网络的原则，他们考虑的潜在联系范围以及遇到潜在联系的环境。 （2）关于不同社交网络结构解决一系列现实决策任务的有效性的经验知识。 （3）新颖的社会推荐算法，最大程度地提高网络有效性，并建议用作沟通和连接的背景的互动机会。Broader的影响：这项研究将在社会兴趣，育儿和骑自行车的两个领域的背景下进行，从而产生重大的广泛影响。提供人们的信息，使他们有信心自行车更多，从而增加了个人健康，减少空气污染并改善社区的凝聚力。研究表明，拥有更大，更多样化的社交网络的父母做出更好的育儿决定，而父母也为特定问题寻求专家建议。因此，一种帮助人们建立有效的社交网络并提供与专家教育者的访问的系统为父母提供了直接的好处。更好的父母也倾向于更多地参与其社区。因此，改善社区健康是一种奖励效果。最后，通过研究团队与家长教育者的联系，该项目将明确针对低收入家庭的父母，这些家庭对支持和信息的需求最大。