61 citations · 261 across the 22 of their papers we have counts for
6 papers · 1 filter
Moral Framing and Ideological Bias of News
Negar Mokhberian, Andrés Abeliuk, Patrick Cummings +1
News outlets are a primary source for many people to learn what is going on in the world. However, outlets with different political slants, when talking about the same news story,…
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms
Akira Matsui, Emilio Ferrara, Fred Morstatter +2
Crowdwork often entails tackling cognitively-demanding and time-consuming tasks. Crowdsourcing can be used for complex annotation tasks, from medical imaging to geospatial data, an…
Challenges in Forecasting Malicious Events from Incomplete Data
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian +2
The ability to accurately predict cyber-attacks would enable organizations to mitigate their growing threat and avert the financial losses and disruptions they cause. But how predi…
Anchor Attention for Hybrid Crowd Forecasts Aggregation
Yuzhong Huang, Andres Abeliuk, Fred Morstatter +2
In a crowd forecasting system, aggregation is an algorithm that returns aggregated probabilities for each question based on the probabilities provided per question by each individu…
Quantifying the Effects of Recommendation Systems
Sunshine Chong, Andrés Abeliuk
Recommendation systems today exert a strong influence on consumer behavior and individual perceptions of the world. By using collaborative filtering (CF) methods to create recommen…
Predictability limit of partially observed systems
Andrés Abeliuk, Zhishen Huang, Emilio Ferrara +1
Applications from finance to epidemiology and cyber-security require accurate forecasts of dynamic phenomena, which are often only partially observed. We demonstrate that a system'…