Traditional research on different forms of media analysis has been primarily focused on the low and mid-level tasks, such as indexing and summarization. With the availability of big data and powerful learning techniques, the human factors in media, such as the affective content, insight generation, societal impact and trends. This workshop on Media Analytics for Societal Trends (MAST) comes at a critical time when interest in human-centric media analytics is on the rise. To this end, we solicit original papers related (but not limited) to the topics listed below.

  • Impact of media
    • Quantifying and analyzing media impact at individual, group and societal level
  • Affect in media
    • Affect prediction analysis
    • Expressed vs. perceived affect in multimedia
    • Therapeutic uses of media forms
  • Computational narratology
    • Understanding narratives, tropes and character portrayals
    • Computational analysis of storytelling
    • Interaction among characters in multimedia content
  • Methodologies
    • Data mining for labeling media data
    • Semi-supervised and self-supervised learning


  • [1st] ICME 2018, San Diego
  • [2nd] ICMI 2019, Suzhou, China

Workshop details

The workshop will include poster presentations for submitted papers, invited talks and panel discussions. Paper submission can be 4-6 pages with an extra page for references.

  • Paper submission deadline : July 30, 2020
  • Notification of acceptance : August 26, 2020
  • Camera ready deadline : September 2, 2020
Download the call for papers here
Submission portal is now open here

Workshop organizers

Keynotes and speakers

More coming soon..

Program Committee Members

  • Abhinav Dhall, Monash University
  • Cristina Segalin, Disney Research
  • James Kennedy, Disney Research
  • Jangwon Kim, Alexa Speech
  • Jeremy Lee, NTHU
  • Makarand Tapaswi, INRIA Paris
  • Marco Andreetto, Google
  • Subarna Tripathi, Intel AI
  • Samuel Kim, Canary Speech
  • Zhaojun Yang, Facebook