This workshop is intended to provide a platform to discuss the risks and opportunities of algorithmic personalization systems in the online news environments, and also to encourage design of auditing mechanisms for such news personalization algorithms. Our aim is to foster dialogue between the different communities interested in the topic by bringing together academics and researchers from the fields of computer science, media studies, journalism and communication sciences, as well as industry practitioners from mainstream media, social media organizations, and startups.

Main Themes of Discussion for the Workshop

The workshop program is structured around the two main themes of risks and opportunities of algorithmic personalization for news. Some relevant topics for each of these themes include (but are not limited to):

Theme I: Risks

  • Societal risks of algorithmic personalization in relation to news
  • Auditing mechanisms for personalization in news dissemination and consumption pipeline
  • Developing systems for personalizing news while optimizing for other factors (e.g. opinion and topic diversity, news value, local interest, etc.)

Theme II: Opportunities

  • Using personalization for increasing user engagement with current affairs or political news
  • Designing personalized recommendations for public service media (e.g.,
  • Leveraging geographic localization, or other user models for personalizing news


Submissions for the Workshop

We seek participants for a workshop on the intersection of algorithmic personalization and news for an exciting day of discussing and debating the societal risks and opportunities that personalization algorithms afford for news dissemination and consumption and the design of mechanisms for auditing such algorithmic systems for news. We invite interested participants to submit work-in-progress or position papers of up to 2 pages (excluding references). All authors are required to use the AAAI Author Kit to format their papers. The author kit is available at Submissions should be at most 2 pages, excluding references.

The workshop attendees will be invited based on the relevance of their submitted abstracts to the workshop’s agenda. The abstracts will be judged on their likelihood of sparking lively discussions and debate during the workshop, and not necessarily the completeness of the work (work-in-progress, as well as, position papers are welcome). In particular, we encourage abstracts that propose new research ideas and directions, chalk out proposals for practical systems that can be built for measuring the impact of personalization systems on real-world users’ news consumption, and envision the use of personalization to increase user engagement with news.

Send in your submissions to (single pdf file) before the deadline of May 7th,
April 30th, 2018 (23:59, anywhere on earth).