Warranted assertibility and the Internet: A theoretical model for an online proto-research community

Shantanu Tilak, M. Glassman, Zi-Yi Wen, I. Kuznetcova, Logan Pelfrey, M. Evans
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引用次数: 1

Abstract

In this paper, we suggest that research platforms on the present Internet should offer more diverse pathways for distributed communication, to cope with the idiosyncrasies of a post-truth society. Present platforms adhere to a first-order cybernetic approach, using rule-based systems and algorithms to guide the activity of researchers, and expose them to new research findings and articles based on their preferences. The larger Internet, however, supports communities such as Reddit, that offer opportunities for pragmatic problem-solving that mirrors the ideas of second- order cybernetics, but show much potential for incivility. We first test this assumption using 704 comments responding to 25 top posts pulled from the CoronavirusUS subreddit, using a Python script. Our analyses indicate that a substantial percentage of posts in the subreddit display higher-order reflectivity (what we label transformative critical reflection) which predicts the number of upvotes received by these posts. We also found that karma, or user reputation, is not predicted by interaction between high-order reflectivity and upvotes. This suggests that posts are gauged by quality rather than users’ reputations. From these results, we infer that such communication can be mirrored in online proto-research communities, and streamlined by laying down regulations, appointing moderators, and using algorithms to guide distributed communication, and combat the propensity for chaos arising from emancipation. We lay out our design/vision for such a community, based on a dual-layered reformulation of the Open Source Educative Processes framework.
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有保证的断言与互联网:一个在线原始研究社区的理论模型
在本文中,我们建议当前互联网上的研究平台应该为分布式交流提供更多样化的途径,以应对后真相社会的特质。目前的平台坚持一阶控制论方法,使用基于规则的系统和算法来指导研究人员的活动,并根据他们的偏好向他们展示新的研究成果和文章。然而,更大的互联网支持像Reddit这样的社区,这些社区提供了实际解决问题的机会,反映了二阶控制论的思想,但也显示出很大的不文明潜力。我们首先使用Python脚本,对冠状病毒美国版块reddit上的25个热门帖子的704条评论进行了测试。我们的分析表明,相当大比例的帖子在子reddit显示高阶反射率(我们称之为变革性批判性反射),这预测了这些帖子收到的赞数。我们还发现,karma或用户声誉不能通过高阶反射率和赞票之间的相互作用来预测。这表明,评价帖子的标准是质量,而不是用户的声誉。从这些结果中,我们推断,这种交流可以反映在在线原型研究社区中,并通过制定法规、任命版主和使用算法来指导分布式交流,并与解放所产生的混乱倾向作斗争,从而简化交流。基于开源教育过程框架的双层重新表述,我们为这样一个社区展示了我们的设计/愿景。
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