READ-IT chatbot

The READ-IT chatbot is a response to the halt of engagement activities during the COVID-19 pandemic. The chatbot is available on Telegram and on the READ-IT project website (https://readit-project.eu/) in English, French, Italian and shortly in Dutch, German and Czech. The chatbot is part of a wider contribution ecosystem collecting data about reading experience from physical postcards, web forms, document uploads and web-scraping tools. The chatbot generates data in a specific format, the Crowdsourcing of Experience Ontology (CEO), developed to support the interoperability of sources between the multidisciplinary research case studies of the READ-IT network.


Publications:

Antonini, Alessio, Benatti, Francesca, Blackburn-Daniels, Sally, On Links To Be: Exercises in Style #2

Antonini, Alessio, Brooker, Sam, Mediation as Calibration: A Framework for Evaluating the Author/Reader Relation

Antonini, Alessio, Benatti, Francesca, King, Edmund, François, Vignale, Guillaume, Gravier, Modelling Changes in Diaries, Correspondence and Authors’ Libraries to support research on reading: the READ-IT approach

Antonini, Alessio, Lupi, Lucia, Developing a meta-language in multidisciplinary research projects: the case study of READ-IT

Participants

Alessio Antonini

Status

ActiveVisit Website