[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 …

Marked personas: Using natural language prompts to measure stereotypes in language models

M Cheng, E Durmus, D Jurafsky - arXiv preprint arXiv:2305.18189, 2023 - arxiv.org
To recognize and mitigate harms from large language models (LLMs), we need to
understand the prevalence and nuances of stereotypes in LLM outputs. Toward this end, we …

Profiling hate speech spreaders on twitter task at PAN 2021

F Rangel, GL Peña-Sarracén… - Proceedings of the …, 2021 - riunet.upv.es
[EN] This overview presents the Author Profiling shared task at PAN 2021. The focus of this
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …

Ethics sheet for automatic emotion recognition and sentiment analysis

SM Mohammad - Computational Linguistics, 2022 - direct.mit.edu
The importance and pervasiveness of emotions in our lives makes affective computing a
tremendously important and vibrant line of work. Systems for automatic emotion recognition …

Coordinated behavior on social media in 2019 UK general election

L Nizzoli, S Tardelli, M Avvenuti, S Cresci… - Proceedings of the …, 2021 - ojs.aaai.org
Coordinated online behaviors are an essential part of information and influence operations,
as they allow a more effective disinformation's spread. Most studies on coordinated …

A letter to future generations: Examining the effectiveness of an intergenerational framing intervention

S Syropoulos, EM Markowitz, B Demarest… - Journal of Environmental …, 2023 - Elsevier
Recent scholarship on the antecedents of proenvironmental behavior has revealed legacy
motivation and perceptions of responsibility as two key pathways for promoting reductions in …

Automatic detection of health misinformation: a systematic review

IB Schlicht, E Fernandez, B Chulvi, P Rosso - Journal of Ambient …, 2024 - Springer
The spread of health misinformation has the potential to cause serious harm to public health,
from leading to vaccine hesitancy to adoption of unproven disease treatments. In addition, it …

AMPGAN v2: machine learning-guided design of antimicrobial peptides

CM Van Oort, JB Ferrell, JM Remington… - Journal of chemical …, 2021 - ACS Publications
Antibiotic resistance is a critical public health problem. Each year∼ 2.8 million resistant
infections lead to more than 35 000 deaths in the US alone. Antimicrobial peptides (AMPs) …

" A Special Operation": A Quantitative Approach to Dissecting and Comparing Different Media Ecosystems' Coverage of the Russo-Ukrainian War

HWA Hanley, D Kumar, Z Durumeric - Proceedings of the International …, 2023 - ojs.aaai.org
The coverage of the Russian invasion of Ukraine has varied widely between Western,
Russian, and Chinese media ecosystems with propaganda, disinformation, and narrative …

Validating daily social media macroscopes of emotions

M Pellert, H Metzler, M Matzenberger, D Garcia - Scientific reports, 2022 - nature.com
Measuring sentiment in social media text has become an important practice in studying
emotions at the macroscopic level. However, this approach can suffer from methodological …