The emerging science of interacting minds

T Wheatley, MA Thornton, A Stolk… - Perspectives on …, 2024 - journals.sagepub.com
For over a century, psychology has focused on uncovering mental processes of a single
individual. However, humans rarely navigate the world in isolation. The most important …

[HTML][HTML] Text mining for social science–The state and the future of computational text analysis in sociology

A Macanovic - Social Science Research, 2022 - Elsevier
The emergence of big data and computational tools has introduced new possibilities for
using large-scale textual sources in sociological research. Recent work in sociology of …

Can large language models transform computational social science?

C Ziems, W Held, O Shaikh, J Chen, Z Zhang… - Computational …, 2024 - direct.mit.edu
Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …

Comparison of text preprocessing methods

CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

The role of the crowd in countering misinformation: A case study of the COVID-19 infodemic

N Micallef, B He, S Kumar, M Ahamad… - … Conference on big …, 2020 - ieeexplore.ieee.org
Fact checking by professionals is viewed as a vital defense in the fight against
misinformation. While fact checking is important and its impact has been significant, fact …

Public perception of electric vehicles on Reddit and Twitter: A cross-platform analysis

T Ruan, Q Lv - Transportation research interdisciplinary perspectives, 2023 - Elsevier
Electrified mobility such as electric vehicles (EVs) is a promising solution to reduce carbon
emissions in transportation and mitigate global warming. Understanding public perception of …

When do annotator demographics matter? measuring the influence of annotator demographics with the popquorn dataset

J Pei, D Jurgens - arXiv preprint arXiv:2306.06826, 2023 - arxiv.org
Annotators are not fungible. Their demographics, life experiences, and backgrounds all
contribute to how they label data. However, NLP has only recently considered how …

Same author or just same topic? towards content-independent style representations

A Wegmann, M Schraagen, D Nguyen - arXiv preprint arXiv:2204.04907, 2022 - arxiv.org
Linguistic style is an integral component of language. Recent advances in the development
of style representations have increasingly used training objectives from authorship …

Proactive moderation of online discussions: Existing practices and the potential for algorithmic support

C Schluger, JP Chang… - Proceedings of the …, 2022 - dl.acm.org
To address the widespread problem of uncivil behavior, many online discussion platforms
employ human moderators to take action against objectionable content, such as removing it …

A practical guide to conversation research: How to study what people say to each other

M Yeomans, FK Boland, HK Collins… - … in Methods and …, 2023 - journals.sagepub.com
Conversation—a verbal interaction between two or more people—is a complex, pervasive,
and consequential human behavior. Conversations have been studied across many …