2026-09-19T11:05:28Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1542042024-04-18T03:46:00Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Karger, David R.
Jahanbakhsh, Farnaz
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2024-04-17T21:11:25Z
2024-04-17T21:11:25Z
2023-09
2023-09-21T14:26:37.375Z
https://hdl.handle.net/1721.1/154204
0000-0003-0492-3040
As misinformation raged on online social spaces and threatened people’s lives and even democracy, platforms rose as the authority on misinformation detection and moderation. However, concerns about freedom of speech and listening rights and the autonomy of individuals in deciding what content to consume, as well as the misalignment in incentives between the users and the platforms should give us pause in accepting this centralized moderation as the optimal solution. In this dissertation, I have explored an alternative approach to misinformation moderation-a democratized one that empowers every user to have a say in what content they consider misinforming, make decisions about what they want to do with such content, and help their friends avoid misinformation. I have investigated the following questions: 1) how to alter the design of social media platforms to enable users to have a say in what is misinformation and what a social media platform that provides this empowerment would look like, 2) how this user empowerment changes the accuracy of content that users share, 3) how to design tools that enable this user empowerment on the web and work on all platforms without needing support from them, 4) how to leverage AI not to impose "the truth" on users, but to help amplify users’ assessments, and 5) how to enable users beyond labeling content accuracy, and empower them to modify and "fix" online content.
Ph.D.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Empowering Users on Social Media for Better Content Credibility
Thesis
application/pdf
Doctoral
Doctor of Philosophy
Publication
unknown
unknown
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<Abstract>As misinformation raged on online social spaces and threatened people’s lives and even democracy, platforms rose as the authority on misinformation detection and moderation. However, concerns about freedom of speech and listening rights and the autonomy of individuals in deciding what content to consume, as well as the misalignment in incentives between the users and the platforms should give us pause in accepting this centralized moderation as the optimal solution. In this dissertation, I have explored an alternative approach to misinformation moderation-a democratized one that empowers every user to have a say in what content they consider misinforming, make decisions about what they want to do with such content, and help their friends avoid misinformation. I have investigated the following questions: 1) how to alter the design of social media platforms to enable users to have a say in what is misinformation and what a social media platform that provides this empowerment would look like, 2) how this user empowerment changes the accuracy of content that users share, 3) how to design tools that enable this user empowerment on the web and work on all platforms without needing support from them, 4) how to leverage AI not to impose "the truth" on users, but to help amplify users’ assessments, and 5) how to enable users beyond labeling content accuracy, and empower them to modify and "fix" online content.</Abstract>
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