國立虎尾科技大學 |

Towards Understanding and Defending Against Algorithmically Curated Misinformation.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Towards Understanding and Defending Against Algorithmically Curated Misinformation./
Author:	Juneja, Prerna.
Description:	1 online resource (291 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
Subject:	Information science. -
Online resource:	click for full text (PQDT)
ISBN:	9798380326773

Towards Understanding and Defending Against Algorithmically Curated Misinformation.
Juneja, Prerna.

Towards Understanding and Defending Against Algorithmically Curated Misinformation. - 1 online resource (291 pages)

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

Thesis (Ph.D.)--University of Washington, 2023.

Includes bibliographical references

Search engines and online social media platforms have become important sources of information for users worldwide. Despite their popularity and ubiquitousness, online platforms are not always trustworthy sources of information. The platforms are driven by black box algorithms that optimize for engagement over the credibility of information. There are increasing concerns that online platforms amplify inaccurate information, making it easily accessible via search results and recommendations. In this thesis, I explore the role of online algorithms in promoting misinformation and design defenses against online misinformation by incorporating human-centered insights from stakeholders such as fact-checking organizations and news agencies. My research recognizes the multifaceted nature of online misinformation and explores the algorithmic, policy, fact-checking, and design aspects of the problem through three distinct research threads.In the first thread of my research, I investigate and audit online platforms such as YouTube and Amazon to understand the role of algorithms driving these platforms in surfacing and amplifying misinformative content to users. Through the audits, I found that performing certain real-world actions on misinformative content (e.g. watching a conspiratorial video on YouTube, or adding a misinformative book to the cart on Amazon) could lead users into problematic echo chambers of misinformation. Additionally, I identified vulnerable user populations who could be targets for specific misinformative topics on online platforms. In the second research thread, I explore ways to support the fact-checking process to combat online misinformation. For this work, I interviewed 14 fact-checking organizations and news agencies across four continents to understand their current fact-checking processes, challenges, and needs. This research establishes fact-checking process as a socio-technical phenomenon, revealing the collaborative efforts of various stakeholder groups and technological infrastructure in facilitating effective fact-checking endeavors. It also highlights the technical, policy, and informational barriers to fact-checking and emphasizes the need for systematic changes in civic, informational, and technological contexts to improve the overall quality of fact-checking. In the final thread of my dissertation research, I collaborated with Pesacheck, Africa's largest indigenous fact-checking organization, to design and develop YouCred---a fact-checking system that enables monitoring of algorithmically driven online platforms for misinformation. To create YouCred, I incorporated insights from previous research threads as well as the expertise and feedback of Pesacheck's fact-checkers throughout the development and design stages. YouCred specifically facilitates misinformation discovery and credibility assessments on the YouTube platform. It automatically generates search queries related to important events and topics of interest to fact-checkers and also offers an intuitive interface for annotating videos for misinformation. Through a nine-month evaluation period at Pesacheck, YouCred demonstrates its practical value and usefulness for fact-checkers, underscoring the importance of ongoing collaboration between fact-checking organizations and technology developers in combating online misinformation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380326773Subjects--Topical Terms:

561178
Information science.
Subjects--Index Terms:

Social media platformsIndex Terms--Genre/Form:

554714
Electronic books.

Towards Understanding and Defending Against Algorithmically Curated Misinformation.
LDR:04722ntm a22003857 4500 001 1144278
005 20240531083817.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798380326773
035 $a (MiAaPQ)AAI30530235
035 $a AAI30530235
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Juneja, Prerna. $3 1469255
245 1 0 $a Towards Understanding and Defending Against Algorithmically Curated Misinformation.
264 0 $c 2023
300 $a 1 online resource (291 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
500 $a Advisor: Mitra, Tanushree.
502 $a Thesis (Ph.D.)--University of Washington, 2023.
504 $a Includes bibliographical references
520 $a Search engines and online social media platforms have become important sources of information for users worldwide. Despite their popularity and ubiquitousness, online platforms are not always trustworthy sources of information. The platforms are driven by black box algorithms that optimize for engagement over the credibility of information. There are increasing concerns that online platforms amplify inaccurate information, making it easily accessible via search results and recommendations. In this thesis, I explore the role of online algorithms in promoting misinformation and design defenses against online misinformation by incorporating human-centered insights from stakeholders such as fact-checking organizations and news agencies. My research recognizes the multifaceted nature of online misinformation and explores the algorithmic, policy, fact-checking, and design aspects of the problem through three distinct research threads.In the first thread of my research, I investigate and audit online platforms such as YouTube and Amazon to understand the role of algorithms driving these platforms in surfacing and amplifying misinformative content to users. Through the audits, I found that performing certain real-world actions on misinformative content (e.g. watching a conspiratorial video on YouTube, or adding a misinformative book to the cart on Amazon) could lead users into problematic echo chambers of misinformation. Additionally, I identified vulnerable user populations who could be targets for specific misinformative topics on online platforms. In the second research thread, I explore ways to support the fact-checking process to combat online misinformation. For this work, I interviewed 14 fact-checking organizations and news agencies across four continents to understand their current fact-checking processes, challenges, and needs. This research establishes fact-checking process as a socio-technical phenomenon, revealing the collaborative efforts of various stakeholder groups and technological infrastructure in facilitating effective fact-checking endeavors. It also highlights the technical, policy, and informational barriers to fact-checking and emphasizes the need for systematic changes in civic, informational, and technological contexts to improve the overall quality of fact-checking. In the final thread of my dissertation research, I collaborated with Pesacheck, Africa's largest indigenous fact-checking organization, to design and develop YouCred---a fact-checking system that enables monitoring of algorithmically driven online platforms for misinformation. To create YouCred, I incorporated insights from previous research threads as well as the expertise and feedback of Pesacheck's fact-checkers throughout the development and design stages. YouCred specifically facilitates misinformation discovery and credibility assessments on the YouTube platform. It automatically generates search queries related to important events and topics of interest to fact-checkers and also offers an intuitive interface for annotating videos for misinformation. Through a nine-month evaluation period at Pesacheck, YouCred demonstrates its practical value and usefulness for fact-checkers, underscoring the importance of ongoing collaboration between fact-checking organizations and technology developers in combating online misinformation.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Information science. $3 561178
650 4 $a Computer science. $3 573171
650 4 $a Design. $3 595500
650 4 $a Web studies. $3 1148502
653 $a Social media platforms
653 $a Search engines
653 $a Misinformative content
655 7 $a Electronic books. $2 local $3 554714
690 $a 0723
690 $a 0984
690 $a 0389
690 $a 0646
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Washington. $b Information School. $3 1179205
773 0 $t Dissertations Abstracts International $g 85-03B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30530235 $z click for full text (PQDT)