Crowdsourcing is one of the emerging Web 2.0 based phenomenon and has attracted great
attention from both practitioners and scholars over the years. It can facilitate the connectivity …

As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

We introduce Dynabench, an open-source platform for dynamic dataset creation and model
benchmarking. Dynabench runs in a web browser and supports human-and-model-in-the …

This paper introduces and summarizes the special issue on megastudies, crowdsourcing,
and large datasets in psycholinguistics. We provide a brief historical overview and show …

People spend a substantial portion of their lives engaged in conversation, and yet, our
scientific understanding of conversation is still in its infancy. Here, we introduce a large …

Conversational interfaces recently gained a lot of attention. One of the reasons for the
current hype is the fact that chatbots (one particularly popular form of conversational …

We present age-of-acquisition (AoA) ratings for 30,121 English content words (nouns, verbs,
and adjectives). For data collection, this megastudy used the Web-based crowdsourcing …

We propose a computational framework for identifying linguistic aspects of politeness. Our
starting point is a new corpus of requests annotated for politeness, which we use to evaluate …

Online peer-to-peer platforms like Airbnb allow hosts to list a property (eg a house, or a
room) for short-term rentals. In this work, we examine how hosts describe themselves on …

Unbiased language is a requirement for reference sources like encyclopedias and scientific
texts. Bias is, nonetheless, ubiquitous, making it crucial to understand its nature and …