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iTweet about #Privacy Mapping Privacy Frames in Twitter Conversation

Authors:
Federica Fornaciari

Keywords: network analysis; discourse analysis; framing theory; privacy; Twitter

Abstract:
Adopting a pragmatic bottom-up approach, the current study applies semantic network analysis and discourse analysis to unfold individual frames of privacy emerging in Twitter. To do so, the author collected and analyzed 100,000 publicly available Tweets selected using the word “privacy.” The following two overarching questions guided the study: What are the frames that emerge in relation to privacy on Twitter? How are these frames discussed? Through a mixed method approach, the author identified the following nine frames of privacy: Privacy and Technology, Personal Privacy, Legal Privacy, Fundamental Privacy, Privacy Concerns, Spatial Privacy, Gossip, Trading Privacy, and Expected Flow of Information. The author also developed robust dictionaries to automate frame detection. In a future step, the author plans to use these dictionaries of privacy to analyze larger corpora of text and reach a meaningful understanding of how individuals frame privacy in everyday conversation.

Pages: 70 to 73

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-552-4

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017