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Technology-Enabled Disinformation: Summary, Lessons, and Recommendations

Authors :
Akers, John
Bansal, Gagan
Cadamuro, Gabriel
Chen, Christine
Chen, Quanze
Lin, Lucy
Mulcaire, Phoebe
Nandakumar, Rajalakshmi
Rockett, Matthew
Simko, Lucy
Toman, John
Wu, Tongshuang
Zeng, Eric
Zorn, Bill
Roesner, Franziska
Publication Year :
2018

Abstract

Technology is increasingly used -- unintentionally (misinformation) or intentionally (disinformation) -- to spread false information at scale, with potentially broad-reaching societal effects. For example, technology enables increasingly realistic false images and videos, and hyper-personal targeting means different people may see different versions of reality. This report is the culmination of a PhD-level special topics course (https://courses.cs.washington.edu/courses/cse599b/18au/) in Computer Science & Engineering at the University of Washington's Paul G. Allen School in the fall of 2018. The goals of this course were to study (1) how technologies and today's technical platforms enable and support the creation and spread of such mis- and disinformation, as well as (2) how technical approaches could be used to mitigate these issues. In this report, we summarize the space of technology-enabled mis- and disinformation based on our investigations, and then surface our lessons and recommendations for technologists, researchers, platform designers, policymakers, and users.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1812.09383
Document Type :
Working Paper