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Essays on User-Generated Content in Digital Platforms Using Natural Language Processing.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Essays on User-Generated Content in Digital Platforms Using Natural Language Processing./
作者:	Sanatizadeh, Aida.
面頁冊數:	1 online resource (112 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
Contained By:	Dissertations Abstracts International86-01B.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9798382952635

Essays on User-Generated Content in Digital Platforms Using Natural Language Processing.
Sanatizadeh, Aida.

Essays on User-Generated Content in Digital Platforms Using Natural Language Processing. - 1 online resource (112 pages)

Source: Dissertations Abstracts International, Volume: 86-01, Section: B.

Thesis (Ph.D.)--University of Illinois at Chicago, 2024.

Includes bibliographical references

This dissertation delves into the rising significance of User-Generated Content and its impact on consumer decisions, emphasizing the importance of UGC's quality and authenticity. Using advanced methods in textual analytics, my research identifies the influence of legal threats and new technologies, such as Large Language Models, on the quality and volume of UGC, revealing a notable removal of honest reviews due to legal pressures and a shift in UGC characteristics with the advent of LLMs, leading to improved quality but reduced volume. The research highlights the chilling effect of business legal threats on consumer feedback and the positive impact of policy interventions in promoting honest reviews, especially from lower-reputation entities. It also notes the technological evolution's mixed effects, particularly on user participation in tech-focused communities. Concluding, the dissertation offers strategies for increasing user engagement and trust in online platforms, stressing the need for balanced regulation and the judicious use of AI. It provides actionable insights for platform managers, policymakers, and scholars, focusing on the dynamic challenges and opportunities within the digital information ecosystem.

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

Mode of access: World Wide Web

ISBN: 9798382952635Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

User Generated ContentIndex Terms--Genre/Form:

554714
Electronic books.

Essays on User-Generated Content in Digital Platforms Using Natural Language Processing.
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