University of Notre Dame
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Early Identification: Memes and Media

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posted on 2023-07-17, 00:00 authored by Trenton W. Ford

Computer-mediated modalities are quickly becoming the primary means by which people communicate and gather information about the world around them. As communication and information modalities change, societally, we often experience adverse effects in ways that were unpredictable, we were not prepared for, or both. Recently, national and global phenomena such as the COVID-19 pandemic and 2020 US Election uncertainty, wherein trust-worthy information dissemination was vital, exposed pitfalls in our shifting communication landscape which led to disastrous outcomes. My research and science communication work investigates the behavior of information spread by focusing on how information in general diffuses and the ways that misinformation and disinformation might be differentiable from that. To that end, in this dissertation, I present several standalone pieces of research that aim to answer the same question from different perspectives: Can we Identify Misinformation?

History

Date Modified

2023-07-27

Defense Date

2023-06-30

CIP Code

  • 40.0501

Research Director(s)

Timothy Weninger

Committee Members

Peter Kogge Walter Scheirer Yong Yeol Ahn

Degree

  • Doctor of Philosophy

Degree Level

  • Doctoral Dissertation

Alternate Identifier

1391228442

OCLC Number

1391228442

Program Name

  • Computer Science and Engineering

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