DTL 2016

GRANTS PROGRAM

DTL 2016 Grantees

 

 

 

 

Finding Waldo in a haystack of informal writing styles

Dirk Hovy (University of Copenhagen); Alan Mislove (Northeastern University); Sune Lehmann (Technical University of Denmark); Tim Baldwin (University of Melbourne)

This project aims to develop an online service that enables users to see how privacy-revealing their Twitter accounts are. The project will bring together world-leading experts in geolocation of informal writing, to provide users feedback on what state-of-the-art predictive models can tell about you, based on what you post on Twitter. The service will:

a) present users with predictions of demographics (gender, age, job, location) if given specific Twitter profiles.

b) enable users to test whether their Twitter accounts can be identified, based on their publicly available or uploaded texts.

The analysis presented to users will also tell them exactly what their personal signatures are, distinguishing between revealing content words (place names, topical words, etc.), dialectal cues, and stylistic variation (e.g., use of creative spelling and emojis).

DTL2018

Are you developing a tool that can bring awareness and control on data privacy and transparency? Check our Call for Tools and subscribe to our Newsletter to stay up to date with our news and activities.

This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with our Cookie Policy.

OK More information