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Fake Google Restaurant Reviews and the Implications for Consumers and Restaurants.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Fake Google Restaurant Reviews and the Implications for Consumers and Restaurants./
作者:	Berry, Shawn.
面頁冊數:	1 online resource (175 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
Contained By:	Dissertations Abstracts International85-11B.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9798382716602

Fake Google Restaurant Reviews and the Implications for Consumers and Restaurants.
Berry, Shawn.

Fake Google Restaurant Reviews and the Implications for Consumers and Restaurants. - 1 online resource (175 pages)

Source: Dissertations Abstracts International, Volume: 85-11, Section: B.

Thesis (D.B.A.)--William Howard Taft University, 2024.

Includes bibliographical references

The use of online reviews to aid with purchase decisions is popular among consumers, as it is a simple heuristic tool based on the reported experiences of other consumers. However, not all online reviews are written by real consumers or reflect actual experiences, and present implications for consumers and businesses. This study examines the effects of fake online reviews written by artificial intelligence (AI) on consumer decision-making. Respondents were surveyed about their attitudes and habits concerning online reviews using an online questionnaire (n = 351), and participated in a restaurant choice experiment using varying proportions of fake and real reviews. While the findings confirm prior studies, new insights are gained about the confusion for consumers and consequences for businesses when reviews written by AI are believed rather than real reviews. The study presents a fake review detection model using logistic regression modeling to score and flag reviews as a solution.

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

Mode of access: World Wide Web

ISBN: 9798382716602Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

ChatGPTIndex Terms--Genre/Form:

554714
Electronic books.

Fake Google Restaurant Reviews and the Implications for Consumers and Restaurants.
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520 $a The use of online reviews to aid with purchase decisions is popular among consumers, as it is a simple heuristic tool based on the reported experiences of other consumers. However, not all online reviews are written by real consumers or reflect actual experiences, and present implications for consumers and businesses. This study examines the effects of fake online reviews written by artificial intelligence (AI) on consumer decision-making. Respondents were surveyed about their attitudes and habits concerning online reviews using an online questionnaire (n = 351), and participated in a restaurant choice experiment using varying proportions of fake and real reviews. While the findings confirm prior studies, new insights are gained about the confusion for consumers and consequences for businesses when reviews written by AI are believed rather than real reviews. The study presents a fake review detection model using logistic regression modeling to score and flag reviews as a solution.
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