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Integrating explanation and prediction in computational social science
Computational social science is more than just large repositories of digital data and the
computational methods needed to construct and analyse them. It also represents a …
computational methods needed to construct and analyse them. It also represents a …
A survey on causal inference
Causal inference is a critical research topic across many domains, such as statistics,
computer science, education, public policy, and economics, for decades. Nowadays …
computer science, education, public policy, and economics, for decades. Nowadays …
[PDF][PDF] Can large language models transform computational social science?
Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
Is a picture worth a thousand words? An empirical study of image content and social media engagement
Are social media posts with pictures more popular than those without? Why do pictures with
certain characteristics induce higher engagement than some other pictures? Using data sets …
certain characteristics induce higher engagement than some other pictures? Using data sets …
Human decisions and machine predictions
Can machine learning improve human decision making? Bail decisions provide a good test
case. Millions of times each year, judges make jail-or-release decisions that hinge on a …
case. Millions of times each year, judges make jail-or-release decisions that hinge on a …
A survey of information cascade analysis: Models, predictions, and recent advances
The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …
microblogs and scientific papers, to online business, such as viral marketing and advertising …
Creative writing with a machine in the loop: Case studies on slogans and stories
As the quality of natural language generated by artificial intelligence systems improves,
writing interfaces can support interventions beyond grammar-checking and spell-checking …
writing interfaces can support interventions beyond grammar-checking and spell-checking …
Deepcas: An end-to-end predictor of information cascades
Information cascades, effectively facilitated by most social network platforms, are recognized
as a major factor in almost every social success and disaster in these networks. Can …
as a major factor in almost every social success and disaster in these networks. Can …
CausaLM: Causal model explanation through counterfactual language models
Understanding predictions made by deep neural networks is notoriously difficult, but also
crucial to their dissemination. As all machine learning–based methods, they are as good as …
crucial to their dissemination. As all machine learning–based methods, they are as good as …
Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions
Changing someone's opinion is arguably one of the most important challenges of social
interaction. The underlying process proves difficult to study: it is hard to know how …
interaction. The underlying process proves difficult to study: it is hard to know how …