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Aniko Hannak

About me

I recently defended my PhD in the College of Computer & Information Science at Northeastern University. My advisors are Alan Mislove and David Lazer. In my research I am investigating the impacts of personalization in various Web sevices. I am also interested in data mining and measurements on online social networks and learning new tools for analyzing large data sets. For my detailed resume please see my cv.

Email: ancsaaa at ccs dot neu dot edu


11/01/16  Our paper about Discrimination in Online Freelance Marketplaces is out.
29/06/16  Defense done!
22/07/15  Got some attention in the Hungarian media as well:) Interview about tracking, algorithms and personalization.
22/07/15  Going to Japan to present our paper on Location based Personalization in Google Search!
02/05/15  Our work on uncovering personalization algorithms is part of this weeks cover story in New Scientist!
02/05/15  Our price discrimination study received press coverage in the Wall Street Journal, Good Morning America, and the CBS Evening News!
02/05/15  Our new site dedicated to our research on personalization algorithms, the Filter Bubble, and algorithmic society is now online. Compliments to Gary for the swanky design!



Posters and presentations

Current Projects

I am currently a visiting researcher at the Computational Social Science group of GESIS in Cologne.

Fact-Cheking interventions on Online Social Networks

The prevalence of misinformation within social media and online communities can undermine public security and distract attention from important issues. Fact-checking interventions, in which users cite fact-checking websites such as Snopes.com and Factcheck.org, are a strategy users can employ to refute false claims made by their peers. We use data from Online Social Networks such as Twitter to find these conversations and to examine the contexts and consequences of fact-checking interventions. Our preliminary results suggest that though fact-checking interventions are most commonly issued by strangers, they are more likely to draw user attention and responses when they come from friends.

Measuring Price Discrimination on the Internet

In this project we are measuring the extent to which online purchasing sites vary the prices and the products they show to their customers. There are many ways in which these websites are able to influence the final purchase of users, and many factors based on which they can personalize the pool of products they offer. Our investigations include measurements on real users as well as simulations of browsing on some of the biggest e-commerce and travel sites.


Price Discrimination

Filter Bubble

Hungarian Press