177 citations · 382 across the 15 of their papers we have counts for
15 papers
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
Indira Sen, Mattia Samory, Fabian Floeck +2
As NLP models are increasingly deployed in socially situated settings such as online abusive content detection, it is crucial to ensure that these models are robust. One way of imp…
'I Updated the <ref>': The Evolution of References in the English Wikipedia and the Implications for Altmetrics
Olga Zagovora, Roberto Ulloa, Katrin Weller +1
With this work, we present a publicly available dataset of the history of all the references (more than 55 million) ever used in the English Wikipedia until June 2019. We have appl…
"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
Mattia Samory, Indira Sen, Julian Kohne +2
Research has focused on automated methods to effectively detect sexism online. Although overt sexism seems easy to spot, its subtle forms and manifold expressions are not. In this…
TED-On: A Total Error Framework for Digital Traces of Human Behavior on Online Platforms
Indira Sen, Fabian Floeck, Katrin Weller +2
Peoples' activities and opinions recorded as digital traces online, especially on social media and other web-based platforms, offer increasingly informative pictures of the public.…
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data
Zijian Wang, Scott A. Hale, David Adelani +4
Social media provide access to behavioural data at an unprecedented scale and granularity. However, using these data to understand phenomena in a broader population is difficult du…
Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics
Lisa Posch, Arnim Bleier, Fabian Flöck +4
Since its emergence roughly a decade ago, microtask crowdsourcing has been attracting a heterogeneous set of workers from all over the globe. This paper sets out to explore the cha…