activity
20162023
most citedAnyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions

486 citations · 965 across the 15 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

cs.CL2016

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

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.CV2016

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Ranjay Krishna, Yuke Zhu, Oliver Groth +9

Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering. Cognition is…

cs.CL2016

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…

cs.HC2016

Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships

Ryo Suzuki, Niloufar Salehi, Michelle S. Lam +2

Expert crowdsourcing marketplaces have untapped potential to empower workers' career and skill development. Currently, many workers cannot afford to invest the time and sacrifice t…

cs.HC2016

Embracing Error to Enable Rapid Crowdsourcing

Ranjay Krishna, Kenji Hata, Stephanie Chen +4

Microtask crowdsourcing has enabled dataset advances in social science and machine learning, but existing crowdsourcing schemes are too expensive to scale up with the expanding vol…