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Found 9 papers, 6 papers with code
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets
Various sentiment analysis and stance detection methods have been developed and used in previous research to measure users{'} political opinions based on their content on social media.
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
CADs introduce minimal changes to existing training data points and flip their labels; training on them may reduce model dependency on spurious features.
ValiTex -- a unified validation framework for computational text-based measures of social science constructs
Guidance on how to validate computational text-based measures of social science constructs is fragmented.
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
Especially, construct-driven CAD -- perturbations of core features -- may induce models to ignore the context in which core features are used.
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
The FairCeptron framework is an approach for studying perceptions of fairness in algorithmic decision making such as in ranking or classification.
"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
By providing a scale-based codebook and insights regarding the shortcomings of the state-of-the-art, we hope to contribute to the development of better and broader models for sexism detection, including reflections on theory-driven approaches to data collection.
TED-On: A Total Error Framework for Digital Traces of Human Behavior on Online Platforms
While there are clear parallels to the well-known error sources in the TSE framework, the new "Total Error Framework for Digital Traces of Human Behavior on Online Platforms" (TED-On) identifies several types of error that are specific to the use of digital traces.
Computers and Society Human-Computer Interaction Social and Information Networks
Responsible team players wanted: an analysis of soft skill requirements in job advertisements
Our work shows that soft skills can serve as partial predictors of the gender composition in job categories and that not all soft skills receive equal wage returns at the labour market.
Women Through the Glass Ceiling: Gender Asymmetries in Wikipedia
Contributing to the writing of history has never been as easy as it is today thanks to Wikipedia, a community-created encyclopedia that aims to document the world's knowledge from a neutral point of view.
Social and Information Networks
