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 …
[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 …
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 online behaviors are an essential part of information and influence operations, as they allow a more effective disinformation's spread. Most studies on coordinated …
Recent scholarship on the antecedents of proenvironmental behavior has revealed legacy motivation and perceptions of responsibility as two key pathways for promoting reductions in …
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 …
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 coverage of the Russian invasion of Ukraine has varied widely between Western, Russian, and Chinese media ecosystems with propaganda, disinformation, and narrative …
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 …