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[Commlist] CFP: Governing the Algorithmic Distribution of News
Fri Oct 18 11:15:31 GMT 2019
Just a reminder about the upcoming CFP deadline for our edited collection.
Editors: Sara Bannerman (McMaster University) and James Meese
(University of Technology Sydney)
In January 2018, Facebook declared that it would no longer prioritise
news content in its NewsFeed. Instead, it would surface posts from
‘friends and family’, with the goal of bringing ‘people closer together’
(Mosseri, 2018). Facebook had stopped promoting particular forms of news
before (like clickbait headlines) but they had always retained a broad
commitment to distributing news content. However, the change in 2018
represented a major pivot for a platform that had increasingly become a
central intermediary for online news distribution. In response,
digital-first publications, who had staked their business model on
Facebook’s ability to surface news to audiences, started to lay off
staff in significant numbers. These new disruptive news enterprises
(like Buzzfeed and Mic) were supposed to usher in a new future for news.
However, it appeared that their business models were as unstable as
those of their print predecessors.
These recent developments have not gone unnoticed by governments.
Policymakers and politicians across the world are starting to examine
the role that platforms and algorithms play in the distribution of news.
Inquiries in Australia, the United Kingdom, Canada and elsewhere have
explored the consequences of the algorithmic distribution of news.
Alongside these national inquiries, a broader international discussion
has focused on the apparent rise in disinformation and the increasingly
partisan nature of political discourse. This discussion has intensified
recently, leading to the formation of an International Grand Committee
on Big Data, Privacy and Democracy composed of elected officials from
governments around the world.
This edited collection will respond to this international policy moment
and examine the challenges posed by the algorithmic distribution of
news. It will critically assess recent media policy developments in this
space and explore the broader economic, political and industrial
transformations associated with algorithmic distribution. In doing so,
we aim to offer a comprehensive account of this moment of institutional
change, which has significantly altered the distribution and consumption
of news (see Nielsen 2018).
The book will be split into two sections. The first section will consist
of thematic chapters (5 - 6,000 words) and the second section will
feature shorter case studies (3 - 4,000 words) describing and analysing
recent policy developments related to algorithmic distribution in
particular countries. We are currently in discussions with interested
publishers and seeking contributions for both sections.
Possible topics include (but are not limited to):
- International governance of the algorithmic distribution of news,
including the formation and operation of the International Grand Committee;
- Measures to support media diversity in light of algorithmic
distribution, including measures to support local, Indigenous,
alternative, independent, ethnic, women’s and minority news media;
- Case studies of countries (for section two): how have particular
countries approached regulatory problems in light of the algorithmic
distribution of news?
- Subsidies and tax exemptions that respond to the algorithmic
distribution of news;
- Discussions of regulations intended to ensure the objectivity and/or
transparency of search and recommendation algorithms;
- Regulatory measures that respond to layoffs and closures of news outlets;
- Intersections between copyright law and news aggregation (such as the
EU’s Article 11, the ‘Google News tax;’
- The relationship between news, platforms, and competition law;
- Regulation of targeted advertising in relation to news;
- Histories of early forays into online (or social) news distribution;
- Analyses of innovative forms of news distribution;
- Civic risks associated with algorithmic distribution (or online
- Detailed analyses of relevant inquiries or reform proposals.
If you are interested in contributing to either section, please send a
short chapter or case study proposal (of about 400 words) and a
biography (150 words) by the 25th of October 2019 to
(james.meese /at/ uts.edu.au) and (banners /at/ mcmaster.ca)
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