Login | Register

A Case For Switching From Self-Fulfilling Prophecies To Rights In AI Journalism

Title:

A Case For Switching From Self-Fulfilling Prophecies To Rights In AI Journalism

El Habre, Elia (2020) A Case For Switching From Self-Fulfilling Prophecies To Rights In AI Journalism. [Graduate Projects (Non-thesis)] (Unpublished)

[thumbnail of ElHabre_MA_S2020.pdf]
Preview
Text (application/pdf)
ElHabre_MA_S2020.pdf - Accepted Version
Available under License Spectrum Terms of Access.
466kB

Abstract

Journalists have mostly focused on AI news from a business lens, offering stakeholders reports on software utilities and their potential disruption. This application-based approach has left a gap with end-users, including journalists themselves, in questioning whether AI solutions are always desirable, and when so, whether citizen rights to data ownership and privacy are respected in the process. Following major security breaches and calls for big data regulation, this topic is compelling for journalistic examination as some citizens show reluctance over sharing personal information, even during the 2020 COVID-19 pandemic. In that context, very little academic research exists on how journalists cover AI news and therefore few guidelines exist on its best practices. In this essay, I summarize existing reports on how AI is covered, delineate what makes this news beat unique, and how journalists can co-opt rights-based approaches to engage their audience. Seven alternative angles are discussed in combination with practice advice for moving the journalism conversation on AI forward. This approach seeks to encourage further journalism studies research into the topic.

Divisions:Concordia University > Faculty of Arts and Science > Journalism
Item Type:Graduate Projects (Non-thesis)
Authors:El Habre, Elia
Institution:Concordia University
Degree Name:M.A.
Program:Digital Innovation in Journalism Studies
Date:30 April 2020
ID Code:986799
Deposited By: Elia El Habre
Deposited On:08 May 2020 16:58
Last Modified:08 May 2020 16:58
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top