Machine learning models that learn from dynamic graphs face nontrivial
c...
Keyphrase extraction aims at automatically extracting a list of "importa...
Drawing causal conclusions from observational real-world data is a very ...
Natural experiments are observational studies where the assignment of
tr...
Deceptive news posts shared in online communities can be detected with N...
Evaluating model robustness is critical when developing trustworthy mode...
With the increasing use of machine-learning driven algorithmic judgement...
As civil discourse increasingly takes place online, misinformation and t...
Research into the explanation of machine learning models, i.e., explaina...
Leveraging text, such as social media posts, for causal inferences requi...
Evaluation beyond aggregate performance metrics, e.g. F1-score, is cruci...
Social media signals have been successfully used to develop large-scale
...
Popularity systems, like Twitter retweets, Reddit upvotes, and Pinterest...
In the age of social news, it is important to understand the types of
re...
This paper presents the results and conclusions of our participation in ...