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 …

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 …

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 …

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 …

[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 …

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 …

The coverage of the Russian invasion of Ukraine has varied widely between Western,
Russian, and Chinese media ecosystems with propaganda, disinformation, and narrative …

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) …

The murder of George Floyd by police in May 2020 sparked international protests and
brought unparalleled levels of attention to the Black Lives Matter movement. As we show, his …

Recent scholarship on the antecedents of proenvironmental behavior has revealed legacy
motivation and perceptions of responsibility as two key pathways for promoting reductions in …