A Dataset Mapping Affective Circuits of Performative Loss and Injury
Authors: Perkins, S.
Abstract:A bespoke data collection tool was developed and deployed (between March 2020 and June 2023) to amass a collection tweets, which were purposively sampled through the inclusion of the #woke hashtag. The tweets have been coded/tagged according to common semantic understanding and organised within the system according to an emergent ontology and hierarchical ('trunk', 'branch' and 'leaf'), taxonomical classification logic. The dataset of pseudonymized tweets are publicly viewable via the http://trigg.gr/ and http://trigg.gr/p/taxonomy/ web front-end. The dataset entitled 'A Dataset Mapping Affective Circuits of Performative Loss and Injury' forms the preliminary data-collection phase of subsequent research (culminating in the yet-to-be-published journal article entitled: 'Affective Circuits of Performative Loss and Injury').
The broader study proposes a theory of collective mythmaking, whose exclusionary rhetoric appears consequent upon hybridizing effects of late modernity reflexivity. It looks at the semantic shift, pejoration and appropriation of the woke African American Vernacular English (AAVE) watchword as it has been reinscribed to signal contempt for unwanted social change. And through its exchange, circulation and performative use, its functioning as a social marker of ingroup identification, belonging and differentiation. The study has been operationalised through a 3 year, longitudinal, data-collection cycle running between March 2020 and June 2023. Tweets, which contain the #woke hashtag have been coded according to an emergent ontology and hierarchical taxonomical classification scheme and made viewable via the http://trigg.gr/ web front-end. Significantly, the purposive sampling foregrounds a largely declinist and privative narrativization, which is seemingly consequent upon perceptions of loss and injury.
Source: Manual