What makes deceptive online reviews? A linguistic analysis perspective
Author
Abstract
Suggested Citation
DOI: 10.1057/s41599-023-02295-5
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014.
"Promotional Reviews: An Empirical Investigation of Online Review Manipulation,"
American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
- Dina Mayzlin & Yaniv Dover & Judith A. Chevalier, 2012. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," NBER Working Papers 18340, National Bureau of Economic Research, Inc.
- Pang, Hua & Liu, Jun & Lu, Jiahui, 2022. "Tackling fake news in socially mediated public spheres: A comparison of Weibo and WeChat," Technology in Society, Elsevier, vol. 70(C).
- Jaziri, Dhouha, 2019. "The advent of customer experiential knowledge management approach (CEKM): The integration of offline & online experiential knowledge," Journal of Business Research, Elsevier, vol. 94(C), pages 241-256.
- Kapoor, Payal S. & M S, Balaji & Maity, Moutusy & Jain, Nikunj Kumar, 2021. "Why consumers exaggerate in online reviews? Moral disengagement and dark personality traits," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
- Nadine Dijkstra & Stephen M. Fleming, 2023. "Subjective signal strength distinguishes reality from imagination," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Zhanfei Lei & Dezhi Yin & Han Zhang, 2021. "Focus Within or On Others: The Impact of Reviewers’ Attentional Focus on Review Helpfulness," Information Systems Research, INFORMS, vol. 32(3), pages 801-819, September.
- Tunç, Murat & Cavusoglu, Huseyin & Raghunathan, Srinivasan, 2021. "Online product reviews : Is a finer-grained rating scheme superior to a coarser one?," Other publications TiSEM ec57cbf3-7415-4427-aafc-6, Tilburg University, School of Economics and Management.
- Huang, Guanxiong & Liang, Hai, 2021. "Uncovering the effects of textual features on trustworthiness of online consumer reviews: A computational-experimental approach," Journal of Business Research, Elsevier, vol. 126(C), pages 1-11.
- Liu, Angela Xia & Xie, Ying & Zhang, Jurui, 2019. "It's Not Just What You Say, But How You Say It: The Effect of Language Style Matching on Perceived Quality of Consumer Reviews," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 70-86.
- Chatterjee, Swagato & Goyal, Divesh & Prakash, Atul & Sharma, Jiwan, 2021. "Exploring healthcare/health-product ecommerce satisfaction: A text mining and machine learning application," Journal of Business Research, Elsevier, vol. 131(C), pages 815-825.
- Li, Liangqiang & Yang, Liang & Zhao, Meng & Liao, Miyan & Cao, Yunzhong, 2022. "Exploring the success determinants of crowdfunding for cultural and creative projects: An empirical study based on signal theory," Technology in Society, Elsevier, vol. 70(C).
- Petrescu, Maria & Ajjan, Haya & Harrison, Dana L., 2023. "Man vs machine – Detecting deception in online reviews," Journal of Business Research, Elsevier, vol. 154(C).
- Yang Wang & Paulo Goes & Zaiyan Wei & Daniel Zeng, 2019. "Production of Online Word‐of‐Mouth: Peer Effects and the Moderation of User Characteristics," Production and Operations Management, Production and Operations Management Society, vol. 28(7), pages 1621-1640, July.
- Zhuang, Mengzhou & Cui, Geng & Peng, Ling, 2018. "Manufactured opinions: The effect of manipulating online product reviews," Journal of Business Research, Elsevier, vol. 87(C), pages 24-35.
- Angela Aerry Choi & Daegon Cho & Dobin Yim & Jae Yun Moon & Wonseok Oh, 2019. "When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases," Information Systems Research, INFORMS, vol. 30(4), pages 1164-1183, December.
- Salminen, Joni & Kandpal, Chandrashekhar & Kamel, Ahmed Mohamed & Jung, Soon-gyo & Jansen, Bernard J., 2022. "Creating and detecting fake reviews of online products," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
- Zhihong Ke & De Liu & Daniel J. Brass, 2020. "Do Online Friends Bring Out the Best in Us? The Effect of Friend Contributions on Online Review Provision," Information Systems Research, INFORMS, vol. 31(4), pages 1322-1336, December.
- Zuo, Wenming & Bai, Weijing & Zhu, Wenfeng & He, Xinming & Qiu, Xinxin, 2022. "Changes in service quality of sharing accommodation: Evidence from airbnb," Technology in Society, Elsevier, vol. 71(C).
- Yi, Jisu & Oh, Yun Kyung, 2022. "The informational value of multi-attribute online consumer reviews: A text mining approach," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
- Gentina, Elodie & Chen, Rui & Yang, Zhiyong, 2021. "Development of theory of mind on online social networks: Evidence from Facebook, Twitter, Instagram, and Snapchat," Journal of Business Research, Elsevier, vol. 124(C), pages 652-666.
- Dong, Xuefan & Lian, Ying, 2021. "A review of social media-based public opinion analyses: Challenges and recommendations," Technology in Society, Elsevier, vol. 67(C).
- Daria Plotkina & Andréas Munzel & Jessie Pallud, 2020. "Illusions of truth - Experimental insights into human and algorithmic detections of fake online reviews," Post-Print hal-04077201, HAL.
- Ansari, Sana & Gupta, Sumeet, 2021. "Customer perception of the deceptiveness of online product reviews: A speech act theory perspective," International Journal of Information Management, Elsevier, vol. 57(C).
- Dandan Qiao & Shun-Yang Lee & Andrew B. Whinston & Qiang Wei, 2020. "Financial Incentives Dampen Altruism in Online Prosocial Contributions: A Study of Online Reviews," Information Systems Research, INFORMS, vol. 31(4), pages 1361-1375, December.
- Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
- Jiawei Chen & Yinghui (Catherine) Yang & Hongyan Liu, 2021. "Mining Bilateral Reviews for Online Transaction Prediction: A Relational Topic Modeling Approach," Information Systems Research, INFORMS, vol. 32(2), pages 541-560, June.
- Lamb, Yasmin & Cai, Wenjie & McKenna, Brad, 2020. "Exploring the complexity of the individualistic culture through social exchange in online reviews," International Journal of Information Management, Elsevier, vol. 54(C).
- Stefan Gössling & C. Michael Hall & Ann-Christin Andersson, 2018. "The manager's dilemma: a conceptualization of online review manipulation strategies," Current Issues in Tourism, Taylor & Francis Journals, vol. 21(5), pages 484-503, March.
- Banerjee, Snehasish, 2022. "Exaggeration in fake vs. authentic online reviews for luxury and budget hotels," International Journal of Information Management, Elsevier, vol. 62(C).
- Michael Luca & Georgios Zervas, 2016. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Management Science, INFORMS, vol. 62(12), pages 3412-3427, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Qiang Wang & Wen Zhang & Jian Li & Feng Mai & Zhenzhong Ma, 2024. "The devil is in the details! Effect of differentiated platform governance on online review manipulation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Costa Filho, Murilo & Nogueira Rafael, Diego & Salmonson Guimarães Barros, Lucia & Mesquita, Eduardo, 2023. "Mind the fake reviews! Protecting consumers from deception through persuasion knowledge acquisition," Journal of Business Research, Elsevier, vol. 156(C).
- Wang, Qiang & Zhang, Wen & Li, Jian & Ma, Zhenzhong, 2023. "Complements or confounders? A study of effects of target and non-target features on online fraudulent reviewer detection," Journal of Business Research, Elsevier, vol. 167(C).
- Qiang Wang & Wen Zhang & Jian Li & Feng Mai & Zhenzhong Ma, 2024. "The devil is in the details! Effect of differentiated platform governance on online review manipulation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
- Mardumyan, Anna & Siret, Iris, 2023. "When review verification does more harm than good: How certified reviews determine customer–brand relationship quality," Journal of Business Research, Elsevier, vol. 160(C).
- Zaman, Mustafeed & Vo-Thanh, Tan & Nguyen, Chi T.K. & Hasan, Rajibul & Akter, Shahriar & Mariani, Marcello & Hikkerova, Lubica, 2023. "Motives for posting fake reviews: Evidence from a cross-cultural comparison," Journal of Business Research, Elsevier, vol. 154(C).
- Li, Yuanshuo & Zhang, Zili & Pedersen, Susanne & Liu, Xudong & Zhang, Ziqiong, 2023. "The influence of relative popularity on negative fake reviews: A case study on restaurant reviews," Journal of Business Research, Elsevier, vol. 162(C).
- Kim, Jong Min & Park, Keeyeon Ki-cheon & Mariani, Marcello & Wamba, Samuel Fosso, 2024. "Investigating reviewers' intentions to post fake vs. authentic reviews based on behavioral linguistic features," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Harrison-Walker, L. Jean & Jiang, Ying, 2023. "Suspicion of online product reviews as fake: Cues and consequences," Journal of Business Research, Elsevier, vol. 160(C).
- Hajek, Petr & Hikkerova, Lubica & Sahut, Jean-Michel, 2023. "Fake review detection in e-Commerce platforms using aspect-based sentiment analysis," Journal of Business Research, Elsevier, vol. 167(C).
- Petrescu, Maria & Ajjan, Haya & Harrison, Dana L., 2023. "Man vs machine – Detecting deception in online reviews," Journal of Business Research, Elsevier, vol. 154(C).
- Tim Kollmer & Andreas Eckhardt & Victoria Reibenspiess, 2022. "Explaining consumer suspicion: insights of a vignette study on online product reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1221-1238, September.
- Balázs Kovács, 2024. "The Turing test of online reviews: Can we tell the difference between human-written and GPT-4-written online reviews?," Marketing Letters, Springer, vol. 35(4), pages 651-666, December.
- Chatterjee, Sheshadri & Chaudhuri, Ranjan & Kumar, Ajay & Lu Wang, Cheng & Gupta, Shivam, 2023. "Impacts of consumer cognitive process to ascertain online fake review: A cognitive dissonance theory approach," Journal of Business Research, Elsevier, vol. 154(C).
- Birim, Şule Öztürk & Kazancoglu, Ipek & Kumar Mangla, Sachin & Kahraman, Aysun & Kumar, Satish & Kazancoglu, Yigit, 2022. "Detecting fake reviews through topic modelling," Journal of Business Research, Elsevier, vol. 149(C), pages 884-900.
- Zibo Liu & Zhijie Lin & Ying Zhang & Yong Tan, 2022. "The Signaling Effect of Sampling Size in Physical Goods Sampling Via Online Channels," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 529-546, February.
- Sherry He & Brett Hollenbeck & Davide Proserpio, 2022.
"The Market for Fake Reviews,"
Marketing Science, INFORMS, vol. 41(5), pages 896-921, September.
- He, Sherry & Hollenbeck, Brett & Proserpio, Davide, 2021. "The Market for Fake Reviews," MPRA Paper 105507, University Library of Munich, Germany.
- Banerjee, Snehasish & Chua, Alton Y.K., 2023. "Understanding online fake review production strategies," Journal of Business Research, Elsevier, vol. 156(C).
- Román, Sergio & Riquelme, Isabel P. & Iacobucci, Dawn, 2024. "Antecedents and consequences of perceived helpfulness of extremely positive and exaggerated reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
- Shawn Berry, 2024. "Fake Google restaurant reviews and the implications for consumers and restaurants," Papers 2401.11345, arXiv.org, revised Apr 2024.
- Heeseung Andrew Lee & Angela Aerry Choi & Tianshu Sun & Wonseok Oh, 2021. "Reviewing Before Reading? An Empirical Investigation of Book-Consumption Patterns and Their Effects on Reviews and Sales," Information Systems Research, INFORMS, vol. 32(4), pages 1368-1389, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02295-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.