Social Media Narratives

Sharing stories with one another is a compelling form of communication and the way in which stories are organized helps to give a larger meaning to facts and events in text. We are developing methods to model narrative style and the collective building of narratives on social media in order to provide a larger contextual background for individual posts, as well as gaining a richer understanding of the stories that people are sharing and their effects on others.

Sarcasm, Humor And Slang In Online Communication

The text that people write online in informal settings often contains features that cause problems to traditional NLP pipelines, such as sarcasm, humor, and slang. We are working to develop new datasets, methods, and tools that enable better semantic representations of this type of text to both improve our NLP models and to better understand these phenomena and the people that use them in their writing.

Online Harms And Misinformation

We are focused on applying our NLP methods to helping to make the internet a safer place. This includes using computational approaches to detecting, characterizing, and combating offensive language, bias, and misinformation that is common in online text-based datasets.

Personal Values And Human Activities

The things that people choose to talk about are, in some ways, a reflection of what is important to them. We explore how language use is connected to personal values, which are, in turn, connected to what people choose to do. Using data from free-response surveys and social media, we build models and lexical resources for the measurement of personal values in text.