Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics

no code implementations • 6 Jul 2023 • Aparna Ananthasubramaniam, Hong Chen, Jason Yan, Kenan Alkiek, Jiaxin Pei, Agrima Seth, Lavinia Dunagan, MinJe Choi, Benjamin Litterer, David Jurgens

Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion.

POTATO: The Portable Text Annotation Tool

1 code implementation • 16 Dec 2022 • Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens

We present POTATO, the Portable text annotation tool, a free, fully open-sourced annotation system that 1) supports labeling many types of text and multimodal data; 2) offers easy-to-configure features to maximize the productivity of both deployers and annotators (convenient templates for common ML/NLP tasks, active learning, keypress shortcuts, keyword highlights, tooltips); and 3) supports a high degree of customization (editable UI, inserting pre-screening questions, attention and qualification tests).

Active Learning text annotation

Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation

no code implementations • 10 Feb 2022 • Aparna Ananthasubramaniam, David Jurgens, Daniel M. Romero

In this study, we show that demographic identity and network topology are both required to model the diffusion of innovation, as they play complementary roles in producing its spatial properties.

Cultural Vocal Bursts Intensity Prediction