Discussion and Negotiation Support for Crowd-Scale Consensus

Ito, Takayuki

doi:10.1007/978-3-030-12051-1_41-1

Handbook of Group Decision and Negotiation 2021

DOI: 10.1007/978-3-030-12051-1_41-1

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Discussion and Negotiation Support for Crowd-Scale Consensus

Takayuki Ito¹

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2024

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Structural complexity predicts consensus readability in online discussions

Hadfi,

Ito

2024

Soc. Netw. Anal. Min.

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The intricate relationship between structure and function spans various disciplines, from biology to management, offering insights into predicting interesting features of complex systems. This interplay is evident in online forums, where the organization of the threads interacts with the message’s meaning. Assessing readability in these discussions is vital for ensuring information comprehension among diverse audiences. This assessment is challenging due to the complexity of natural language compounded by the social and temporal dynamics within social networks. One practical approach involves aggregating multiple readability metrics as a consensus alignment. In this study, we explore whether the structural complexity of online discussions can predict consensus readability without delving into the semantics of the messages. We propose a consensus readability metric derived from well-known readability tests and a complexity metric applied to the tree structures of Reddit discussions. Our findings indicate that this proposed metric effectively predicts consensus readability based on the complexity of discourse structure.

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Structural complexity predicts consensus readability in online discussions

Hadfi,

Ito

2024

Soc. Netw. Anal. Min.

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Discussion and Negotiation Support for Crowd-Scale Consensus

Cited by 1 publication

References 19 publications

Structural complexity predicts consensus readability in online discussions

Structural complexity predicts consensus readability in online discussions

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