activity
20152022
most citedMoral Framing and Ideological Bias of News

39 citations · 70 across the 9 of their papers we have counts for

collaborators

16 papers

cs.CL20221 cited

Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios

Cinthia Sánchez, Hernan Sarmiento, Andres Abeliuk +2

Social media data has emerged as a useful source of timely information about real-world crisis events. One of the main tasks related to the use of social media for disaster managem…

cs.CL2021

Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings

Zihao He, Negar Mokhberian, Antonio Camara +2

Growing polarization of the news media has been blamed for fanning disagreement, controversy and even violence. Early identification of polarized topics is thus an urgent matter th…

cs.CY202039 cited

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,…

cs.HC2020

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…

cs.CR2020

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…

cs.IR2020

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…