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Graph Signal Recovery Using Restricted Boltzmann Machines
Ankith Mohan, Aiichiro Nakano, Emilio Ferrara
We propose a model-agnostic pipeline to recover graph signals from an expert system by exploiting the content addressable memory property of restricted Boltzmann machine and the re…
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19
Ashwin Rao, Fred Morstatter, Minda Hu +4
The novel coronavirus pandemic continues to ravage communities across the US. Opinion surveys identified importance of political ideology in shaping perceptions of the pandemic and…
Detecting Social Media Manipulation in Low-Resource Languages
Samar Haider, Luca Luceri, Ashok Deb +3
Social media have been deliberately used for malicious purposes, including political manipulation and disinformation. Most research focuses on high-resource languages. However, mal…
#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election
Emily Chen, Ashok Deb, Emilio Ferrara
The integrity of democratic political discourse is at the core to guarantee free and fair elections. With social media often dictating the tones and trends of politics-related disc…
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…
Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters
Yilei Zeng, Deren Lei, Beichen Li +3
Sequential reasoning is a complex human ability, with extensive previous research focusing on gaming AI in a single continuous game, round-based decision makings extending to a seq…