3rd workshop on Media Analytics for Societal Trends
In conjunction with ACM MM 2020

Notice: MAST -III will be held virtually this year as part of the ACM MM workshops

Topics

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

History

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

Workshop organizers

• Tanaya Guha, University of Warwick ✉
• Naveen Kumar, Disney Research ✉
• Shri Narayanan, USC
• Krishna Somandepalli, USC
• Victor Martinez, USC
• Kree McLaughlin, Google
• Hartwig Adam, Google

Workshop Program

• Workshop date : Oct. 12, 2020
• Venue : check your email
• Time : 2pm – 5pm PST

Time	Topic
2:05pm	Introduction
2:20pm	Energy from 70mm – Using films as a resource for quantifying energy behavior – Ronita Bardhan, University of Cambridge
2:40pm	Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs – Kexin Feng, Texas A&M
3:00pm	Break
3:10pm	Decoding and Advertising Emotional Ads– The Science & The Engineering – Ramanathan Subramanian, IIT Ropar
3:30pm	Understanding Gender Stereotypes and Electoral Success from Visual Self-presentations of Politicians in Social Media – Makarand Tapaswii, INRIA
4:15pm	Panel Discussion

Selected papers

• “Understanding Gender Stereotypes and Electoral Success from Visual Self-presentations of Politicians in Social Media”, Danni Chen et. al., UCLA
• “Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs”, Kexin Feng et. al., Texas A&M university

Program Committee Members

• Abhinav Dhall, Monash University
• James Kennedy, Disney Research
• Jangwon Kim, Alexa Speech
• Makarand Tapaswi, INRIA Paris
• Subarna Tripathi, Intel AI
• Samuel Kim, Canary Speech