Unit:
Specialty Science, Technology, Society-Science and Technology StudiesLibrary of the School of Science
Supervisors info:
Τύμπας Αριστοτέλης, Καθηγητής, Ιστορία και Φιλοσοφία των Επιστημών, Σχολή Θετικών Επιστημών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Τζαφέστα Ελπίδα, Αναπληρώτρια Καθηγήτρια, Ιστορία και Φιλοσοφία των Επιστημών, Σχολή Θετικών Επιστημών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Βαρουτάς Δημήτρης, Αναπληρωτής Καθηγητής, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Σχολή Θετικών Επιστημών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Picturing Big Data in media
Original Title:
Picturing Big Data in media: an STS-based approach
Translated title:
Picturing Big Data in media: an STS-based approach
Summary:
Big Data is one of the key emerging technologies. Scholars have started to study the ways textual content concerning Big Data affects the public’s response to the technology but have yet to study the effect images might have on the matter. This study aims to start filling this gap in the study of Big Data literature through research on Big Data imagery in newspapers in Greece and the U.K. Using a combination of content analysis and pictorial semiotics, I have placed Big Data images in newspapers under five main themes: blueness, dataveillance, big data-related anxiety, gender construction and analogue/digital. The thesis relies heavily on the interdisciplinary field of study known as Science, Technology, Society or Science and Technology Studies (STS).
Main subject category:
Science
Keywords:
big data, science communication, science and technology studies, content analysis, pictorial semiotics, dataveillance, gender bias, analogue vs digital, liberal vs conservative
