Framing analysis is predominantly qualitative and quantitative, examining a small dataset
with manual coding. Easy access to digital data in the last two decades prompts scholars in …

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 …

The manifestation and effect of bias in news reporting have been central topics in the social
sciences for decades, and have received increasing attention in the NLP community …

Dialect differences caused by regional, social, and economic factors cause performance
discrepancies for many groups of language technology users. Inclusive and equitable …

Framing studies how individuals and societies make sense of the world, by communicating
or representing complex issues through schema of interpretation. The framing of information …

We propose to measure political bias in LLMs by analyzing both the content and style of
their generated content regarding political issues. Existing benchmarks and measures focus …

Humans can classify data of an unseen category by reasoning on its language explanations.
This ability is owing to the compositional nature of language: we can combine previously …

The United States (US) military withdrawal from Afghanistan in August 2021 was met with
turmoil as the Taliban regained control of most of the country, including Kabul. These events …

Information Retrieval (IR) systems are designed to deliver relevant content, but traditional
systems may not optimize rankings for fairness, neutrality, or the balance of ideas …

Social media enables activists to directly communicate with the public and provides a space
for movement leaders, participants, bystanders, and opponents to collectively construct and …