ALGOLIT
Understanding and Boosting Algorithmic Literacy
A research project investigating how citizens understand, perceive, and interact with algorithmic systems in digital environments.
MIUR PRIN 2022
Benvenuti sul sito del progetto ALGOLIT — Understanding and boosting algorithmic literacy — finanziato dal programma MIUR PRIN 2022.
Il progetto è una collaborazione tra l’Università degli Studi di Trento, con il Prof. Giuseppe A. Veltri (Dipartimento di Sociologia e Ricerca Sociale), e l’Università Statale di Milano, con il Prof. Flaminio Squazzoni (Dipartimento di Scienze Sociali e Politiche).
ALGOLIT si propone di esplorare le determinanti socio-cognitive dell’alfabetizzazione algoritmica e le sue conseguenze sulla cognizione e sul comportamento individuale negli ambienti digitali, sviluppando concetti e misure empiricamente verificabili. Il progetto si articola in quattro work package: una revisione sistematica della letteratura, uno studio qualitativo sulle teorie popolari degli algoritmi, esperimenti online sulla consapevolezza algoritmica e un’indagine sulla popolazione italiana.
Nel sito troverete informazioni sul progetto, il team di ricerca, le pubblicazioni scientifiche e i materiali prodotti.
Welcome to the website of the ALGOLIT project — Understanding and boosting algorithmic literacy — funded by the MIUR PRIN 2022 programme.
The project is a collaboration between the University of Trento, Prof. Giuseppe A. Veltri (Department of Sociology and Social Research), and the University of Milan, Prof. Flaminio Squazzoni (Department of Social and Political Sciences).
ALGOLIT aims to explore the socio-cognitive determinants of algorithmic literacy and its consequences on individual cognition and behaviour in digital environments, developing empirically testable concepts and measurements. The project is structured across four work packages: a systematic literature review, a qualitative study of folk theories about algorithms, online experiments on algorithmic awareness, and a representative survey of the Italian population.
On this site you will find information about the project, the research team, scientific publications, and project materials.
Work Packages
WP1: Literature Review
Systematic review of algorithmic literacy concepts, measurements, socio-cognitive determinants, and behavioural correlates.
WP2: Folk Theories
Qualitative study mapping citizens’ lay theories about algorithms, their functioning, and perceived impact on daily life.
WP3: Experiments
Online experiments investigating algorithmic literacy, awareness, and behavioural effects in simulated digital environments.
WP4: Population Survey
Representative survey of the Italian population testing measurements and determinants of algorithmic literacy.
University of Trento
Department of Sociology and Social Research
University of Milan
Department of Social and Political Sciences