@inproceedings{chen-etal-2026-effects,
title = "Effects of Collaboration on the Performance of Interactive Theme Discovery Systems",
author = "Chen, Alvin Po-Chun and
Das, Rohan and
Srinivas, Dananjay and
Barry, Alexandra and
Seniw, Maksim and
Pacheco, Maria Leonor",
editor = "Liakata, Maria and
Moreira, Viviane P. and
Zhang, Jiajun and
Jurgens, David",
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
month = jul,
year = "2026",
address = "San Diego, California, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.acl-long.1968/",
doi = "10.18653/v1/2026.acl-long.1968",
pages = "42507--42526",
ISBN = "979-8-89176-390-6",
abstract = "NLP-assisted solutions to support qualitative data analysis have gained considerable traction. However, no unified evaluation framework exists which can account for the many different settings in which qualitative researchers may employ them. In this paper, we propose a framework to evaluate the way collaboration settings may produce different research outcomes across a variety of interactive systems. Specifically, we study the impact of synchronous vs. asynchronous collaboration using three different NLP-assisted qualitative research tools and present a comprehensive analysis of the differences in the consistency, cohesiveness, and correctness of their outcomes."
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%0 Conference Proceedings
%T Effects of Collaboration on the Performance of Interactive Theme Discovery Systems
%A Chen, Alvin Po-Chun
%A Das, Rohan
%A Srinivas, Dananjay
%A Barry, Alexandra
%A Seniw, Maksim
%A Pacheco, Maria Leonor
%Y Liakata, Maria
%Y Moreira, Viviane P.
%Y Zhang, Jiajun
%Y Jurgens, David
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-390-6
%F chen-etal-2026-effects
%X NLP-assisted solutions to support qualitative data analysis have gained considerable traction. However, no unified evaluation framework exists which can account for the many different settings in which qualitative researchers may employ them. In this paper, we propose a framework to evaluate the way collaboration settings may produce different research outcomes across a variety of interactive systems. Specifically, we study the impact of synchronous vs. asynchronous collaboration using three different NLP-assisted qualitative research tools and present a comprehensive analysis of the differences in the consistency, cohesiveness, and correctness of their outcomes.
%R 10.18653/v1/2026.acl-long.1968
%U https://aclanthology.org/2026.acl-long.1968/
%U https://doi.org/10.18653/v1/2026.acl-long.1968
%P 42507-42526
Markdown (Informal)
[Effects of Collaboration on the Performance of Interactive Theme Discovery Systems](https://aclanthology.org/2026.acl-long.1968/) (Chen et al., ACL 2026)
ACL
- Alvin Po-Chun Chen, Rohan Das, Dananjay Srinivas, Alexandra Barry, Maksim Seniw, and Maria Leonor Pacheco. 2026. Effects of Collaboration on the Performance of Interactive Theme Discovery Systems. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 42507–42526, San Diego, California, United States. Association for Computational Linguistics.