Skip to content
aiqbench takeAI Research

aiqbench analysis

This study applies self-organized criticality theory to human writing dynamics, revealing how semantic correlations in text evolve toward a critical state during the revision process. By analyzing the KLiCKe keystroke dataset, the research demonstrates that text revisions exhibit restoring dynamics that adhere to specific power laws, offering new insights into the computational mechanics of language generation.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Writing as a Self-Organized Critical Process

arXiv1 min read

arXiv:2610.05466v1 Announce Type: new Abstract: We explain autocorrelation decay power laws omnipresent in texts by self-organized criticality. Specifically, we analyze the recently released KLiCKe keystroke dataset and show that not only the final texts' autocorrelations form a manifold that adheres to a power law with a finite-size scaling, but also the text revisions generate revision-size-dependent restoring dynamics toward that manifold. Thus, human writing appears to dynamically regulate semantic correlations in a text toward a critical state.

Abstract:We explain autocorrelation decay power laws omnipresent in texts by self-organized criticality. Specifically, we analyze the recently released KLiCKe keystroke dataset and show that not only the final texts' autocorrelations form a manifold that adheres to a power law with a finite-size scaling, but also the text revisions generate revision-size-dependent restoring dynamics toward that manifold. Thus, human writing appears to dynamically regulate semantic correlations in a text toward a critical state.

Computation and Language (cs.CL)

arXiv:2610.05466 [cs.CL]

(or arXiv:2610.05466v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2610.05466 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 166 words

Related coverage