APSIPA Transactions on Signal and Information Processing > Vol 7 > Issue 1

New frontiers in cognitive content curation and moderation

Industrial Technology Advances

Chung-Sheng Li, Accenture Operations, USA, csli@ieee.org , Guanglei Xiong, Accenture Operations, USA, Emmanuel Munguia Tapia, Accenture Operations, USA
 
Suggested Citation
Chung-Sheng Li, Guanglei Xiong and Emmanuel Munguia Tapia (2018), "New frontiers in cognitive content curation and moderation", APSIPA Transactions on Signal and Information Processing: Vol. 7: No. 1, e7. http://dx.doi.org/10.1017/ATSIP.2018.9

Publication Date: 23 Jul 2018
© 2018 Chung-Sheng Li, Guanglei Xiong and Emmanuel Munguia Tapia
 
Subjects
 
Keywords
Content moderationContent curatioonMachine learning
 

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Open Access

This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. RELATED WORK AND INDUSTRY PRACTICE 
III. GOVERNANCE MODEL AND ASSURANCE PROCESS 
IV. TOTAL CONTEXT AND INFORMATION AWARENESS 
V. COGNITIVE FRAMEWORK FOR CONTENT CURATION AND MODERATION 
VI. OUTCOME DRIVEN ORCHESTRATION FRAMEWORK 
VII. CONCLUSION 

Abstract

Social media, online forums, and online e-commerce heavily encourage and rely on content posted by humans to attract visitors and enable participation in their sites. However, inappropriate user-generated content in the form of violent, disturbing, infringing or fraudulent materials has become a serious challenge for public safety, law enforcement, and business integrity. It has also become increasingly difficult for end users to locate the most relevant content from the huge amount and variety of potentially interesting content selections. Therefore, content moderation and curation serve the two key purposes of protection and promotion to ensure compliance to site policy, local tastes or norms, or even the law, as well as the creation of an entertaining and compelling user experience via high-quality content. In this paper, we survey the governance, processes, standards, and technologies developed and deployed within the industry. The primary challenge faced today by the industry is the scalability of the governance model in the moderation and curation process. A symbiotic human-machine collaboration framework has emerged to address the burdensome and time-consuming nature of manual moderation and curation. We illustrate how this framework can be extended to optimize the outcome by focusing on applying moderation and curation on content that has not been previously moderated or curated.

DOI:10.1017/ATSIP.2018.9