NIPS 2017: Saturday December 9th 08:30 – 18:00

Abstracts due October 23rd;  acceptances sent November 7th

Within the past few years, social media have become dominant aggregators and distributors of news. Much public discussion has moved online to social media such as Facebook, Twitter, Reddit, and comment boards. Traditional newspapers and news channels have lost influence to new online forums with weaker editorial controls.

Perhaps as a result, fake news and lies spread fast and widely. Online political discussion is polarised and tribal. Echo-chambers reinforce one-sided views without presenting any balancing alternatives. False rumours persist even when disproved.

One original promise of the Internet was that it would empower better democratic discussion, with wider participation, and better universal access to true news and argument.  If this has not happened, what technologies can we build to achieve it?

Best Paper Award prize is $1,000 USD

We invite contributions on any of these or related topics:

Fake news and fact checking:

  • Tracing widely distributed content back to its origins
  • Enhancing content in real time with fact checking
  • Proactive identification of news trends
  • Monitoring, detection, and moderation of polarizing topics

Presenting and organising content:

  • Defining ‘fair discussion’ and algorithmic fairness
  • Voting and reputation systems for collective evaluation and prioritisation
  • Identifying and mitigating tribalism and echo chambers
  • Algorithmic fairness in news retrieval and presentation

Abuse, hate speech, and illegal content:

  • Identifying abuse and breaches of rules for civil discussion
  • Detecting and mitigating tribalism
  • New tools for moderators

Collective intelligence:

  • How can the quality of on-line discussion be evaluated?
  • Improved technologies for online discussion that enable better collective intelligence
  • Models of online discussion as large-scale message passing analogous to graphical models

Please send an abstract of up to two pages summarising your contribution; one additional page of cited references is allowed. You may also attach full papers of any format or length that supplement your submission, but we do not guarantee to take these into account in the reviewing process. You may submit work that has previously been published — but please give details of how it has previously been published. Our review process will not be blind: please submit your contributions as PDFs containing the authors’ names.

We intend to make accepted contributions available online, linked to the workshop page. There will be no formal published proceedings.

Important Information

Any enquiries should be sent to info@k4all.org email address

Invited Speakers:

The following speakers have confirmed their attendance at the workshop:

  • Aristides Gionis, University of Aalto
  • Delip Rao, Joostware AI Research and Johns Hopkins University
  • Suresh Venkatasubramanian, University of Utah
  • Andreas Vlachos, University of Sheffield

Organising Committee:

  • Nicolò Cesa-Bianchi, University of Milan
  • Marko Grobelnik, Jozef Stefan Institute
  • Massimiliano Pontil, Istituto Italiano di Tecnologia and University College London
  • Sebastian Riedel, University College London
  • Davor Orlic, Knowledge 4 All Foundation
  • John Shawe-Taylor, University College London
  • Chris Watkins, Royal Holloway
  • Emine Yilmaz, University College London

Sponsors: