On 1 September 2021, the DFF Sapere Aude project EXPANSE on ‘Learning to Explain Attitudes on Social Media’ is officially kicking off. Sapere Aude is a program by the Independent Research Fund Denmark (DFF) to support the most talented younger researchers in Denmark with funding for blue-skies research to build up or expand their research groups.
The EXPANSE project will study attitudes voiced on social media, examining what is said, and explaining it by examining why, how and by whom attitudes are stated. Currently, the only criterion commonly taken into account when researching and developing not just such stance detection, but Natural Language Processing models in general, is predictive performance, e.g. how well models can predict labels such as ‘positive’, ‘negative’ or ‘neutral’. This does not provide any insights into why and how models arrive at certain predictions, which is crucial for utilising predictions for decision making. By contrast, EXPANSE will examine explainability as a success criterion, in an interdisciplinary approach which combines Natural Language Processing research with sociological theories.
The following researchers affiliated with the EXPANSE project will join CopeNLU on 1 September 2021: