Linking Online Engagement to Pandemic Responses: Measuring Media Interactions in Pandemic Response

Abstract

This project aimed to uncover the mathematical underpinnings of online attention market, design computational methods for making attention allocation stable and fair, enable applications where content producers, consumers, platforms and regulators could each play a role in influencing attention allocation towards socially beneficial goals. The new knowledge will enable organizations and individuals to foster safer and more trustworthy online spaces for the public, and benefit citizens through the minimization of harm and misinformation when they are online. The project was highly successful and produced 3 very high quality papers which will be of significant value in the field. Of particular interest is their analysis of the socio-political effects of social media. The researchers clearly dedicated good people and and large amount of manpower to the effort. I would definitely recommend them for any future funding efforts.

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Document Details

Document Type
Technical Report
Publication Date
Jan 27, 2023
Accession Number
AD1194255

Entities

People

  • Lexing Xie

Organizations

  • Australian National University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Big Data
  • Computational Science
  • Data Mining
  • Data Preprocessing
  • Economic Systems
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Mathematical Models
  • Neural Networks
  • Online Communications
  • Signal Processing
  • Social Media
  • Social Networking Services
  • Social Networks
  • Stochastic Processes
  • United States
  • Web Browsers

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Political Violence and Terrorism Studies.
  • Systems Analysis and Design

Technology Areas

  • Space