On urban event tracking from online media: A social cognition perspective

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modern online media, such as Twitter, Instagram, and YouTube, democratized information broadcast, allowing anyone to offer content for large-scale dissemination. The resulting global accessibility of real-time information marked an unprecedented change in human history. It ushered-in an age of information overload and introduced fundamentally new content dissemination dynamics within a very short period of time compared to that necessary for our cognitive faculties to co-evolve. In the meantime, the public nature of offered information allows automated tools to observe not only what is being transmitted but also how it propagates. Actual diffusion of information is driven by recepients, who must individually prioritize what to consume and propagate in the face of mounting overload. The resulting propagation patterns offer insights into the collective cognitive choices made by the underlying population. Automated algorithms can harvest these insights to offer added value to the population at hand. One example is content curation (or recommendation) services that help users sift through increasingly larger amounts of information clutter to find the most relevant and interesting items. We argue that contemporary information distillation services that manage overload can lead to significant negative side-effects that may range from unintentional suppression of pertinent information to the undermining of the very foundations of modern democracy. This paper explains the mechanism by which these side effects occur and explores possible research directions surrounding the mitigation of such side effects, set in the context of urban event tracking applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE 1st International Conference on Cognitive Machine Intelligence, CogMI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-167
Number of pages8
ISBN (Electronic)9781728167374
DOIs
StatePublished - Dec 2019
Event1st IEEE International Conference on Cognitive Machine Intelligence, CogMI 2019 - Los Angeles, United States
Duration: Dec 12 2019Dec 14 2019

Publication series

NameProceedings - 2019 IEEE 1st International Conference on Cognitive Machine Intelligence, CogMI 2019

Conference

Conference1st IEEE International Conference on Cognitive Machine Intelligence, CogMI 2019
CountryUnited States
CityLos Angeles
Period12/12/1912/14/19

    Fingerprint

Keywords

  • Information dissemination
  • Online media
  • Social sensing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Artificial Intelligence

Cite this

Abdelzaher, T. (2019). On urban event tracking from online media: A social cognition perspective. In Proceedings - 2019 IEEE 1st International Conference on Cognitive Machine Intelligence, CogMI 2019 (pp. 160-167). [8998989] (Proceedings - 2019 IEEE 1st International Conference on Cognitive Machine Intelligence, CogMI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CogMI48466.2019.00031