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<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:14.0pt">#turnmeon: the role of humans in automated media systems</span></b><span style="font-size:14.0pt"><o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:14.0pt">SWARM symposium 2017</span></b><span style="font-size:14.0pt"><o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:11.0pt">Thursday 31st August 2017, <a href="http://sydney.edu.au/law/about/campus.shtml" target="_blank" title="Law School address">Law Lounge</a>, University of Sydney</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">In 2016, Instagram announced it would alter its news feed, moving from a chronological list to “show the moments we believe you will care about the most”. This new emphasis on its most influential users and
images resulted in panicked Instagrammers urging their followers to #turnmeon, to ensure a feed notification was triggered whenever they posted. Their cry for machine visibility is exemplary of the importance algorithms now play in mediating our social relationships,
networks and communities. The SWARM 2017 symposium will explore how humans now interact with software in automated media and communications systems, producing what Ted Striphas calls algorithmic culture. Hosted by the Department of Media and Communications,
University of Sydney, and SWARM 2017, this symposium invites papers and presentations from community managers, programmers and scholars on the future of human mediation in an age of artificial intelligence.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Audience metrics scholar Philip Napoli notes that media industries scholarship has historically devoted much time to understanding the “organisational norms and structures, environmental cognitions, and audience
information systems” of media production, but too little attention to its epochal algorithmic turn. Analytics now map media output and its consumption, while chat bots manage consumer relations with brands. Facebook and Twitter have become our default news
aggregators, serving up popular topics regardless of their veracity. YouTube and Amazon also use our selections and recommendations to serve us up content we might like to buy. Many websites and apps now integrate natural language processing tools to provide
personalisation options, sentiment analysis or code that will civilise, categorise and analyse our communications. These changes highlight the need for researchers to explore the forms and scope of human-machine communicative relations, and their consequences
for building and managing online communities.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Typically, community managers engage in what the cognitive sciences call demonstrations of expertise and experience: engaging and including people, negotiating and moderating their interactions, assisting
expertise transfer, guiding knowledge acquisition and production, and managing ethical issues in community building. Where an automated media system transfers these tasks to an algorithm assemblage, we might ask: to what extent could it fully take over decision-making
or conflict management? What is an algorithm's register of harm or humour? And how might algorithms develop the capacity to build human relationships?<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">We invite submissions that address any aspect of human-machine relations in automated media and communications systems, on topics that include:<o:p></o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">The ethics of algorithmic culture<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Working and playing with chat bots<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Natural language processing and algorithmic moderation<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Programming for inclusion and diversity<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Media analytics and community building<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">The role of ex-ante developers in algorithmic systems<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">The learned failings of voice recognition and automated systems<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">The gendering of machines incl. intelligent personal assistants<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Automating customer service<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Please submit abstracts of 600-800 words to Jonathon Hutchinson <a href="mailto:jonathon.hutchinson@sydney.edu.au" target="_blank">jonathon.hutchinson@sydney.edu.au</a> and Fiona Martin <a href="mailto:fiona.martin@sydney.edu.au" target="_blank">fiona.martin@sydney.edu.au</a> by
Monday May 15th. Notification of acceptance will be by May 30th. Three travel assistance grants will be available for the best proposals (with full paper drafts required by July 14th). For further information email us, phone +614 2839 1122 or tweet @mediarepublik
and @dhutchman<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
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