activity
20122021
most citedEmpath: Understanding Topic Signals in Large-Scale Text

368 citations · 448 across the 7 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.CL2016★ 14 cited

Long-Term Trends in the Public Perception of Artificial Intelligence

Ethan Fast, Eric Horvitz

Analyses of text corpora over time can reveal trends in beliefs, interest, and sentiment about a topic. We focus on views expressed about artificial intelligence (AI) in the New Yo…

cs.CL2016

Identifying Dogmatism in Social Media: Signals and Models

Ethan Fast, Eric Horvitz

We explore linguistic and behavioral features of dogmatism in social media and construct statistical models that can identify dogmatic comments. Our model is based on a corpus of R…

cs.CL2016★ 21 cited

Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community

Ethan Fast, Tina Vachovsky, Michael S. Bernstein

Imagine a princess asleep in a castle, waiting for her prince to slay the dragon and rescue her. Tales like the famous Sleeping Beauty clearly divide up gender roles. But what abou…

cs.HC2016★ 29 cited

Augur: Mining Human Behaviors from Fiction to Power Interactive Systems

Ethan Fast, William McGrath, Pranav Rajpurkar +1

From smart homes that prepare coffee when we wake, to phones that know not to interrupt us during important conversations, our collective visions of HCI imagine a future in which c…

cs.CL2016★ 368 cited

Empath: Understanding Topic Signals in Large-Scale Text

Ethan Fast, Binbin Chen, Michael Bernstein

Human language is colored by a broad range of topics, but existing text analysis tools only focus on a small number of them. We present Empath, a tool that can generate and validat…