Fighting fake reviews with blockchain-enabled consumer-generated reviews

References

• Alghamdi, O. (2021). A customer loyalty program using blockchain [Masters dissertation thesis]. Universitat Politécnica de Valencia. http://hdl.handle.net/10251/158316
   Google Scholar
• Aste, T., Tasca, P., & Di Matteo, T. (2017). Blockchain technologies: The foreseeable impact on society and industry. Computer, 50(9), 18–28. https://doi.org/10.1109/MC.2017.3571064
   Web of Science ®Google Scholar
• Baralla, G., Pinna, A., Tonelli, R., Marchesi, M., & Ibba, S. (2021). Ensuring transparency and traceability of food local products: A blockchain application to a smart tourism region. Concurrency and Computation: Practice and Experience, 33(1), Article e5857. https://doi.org/10.1002/cpe.5857
   Web of Science ®Google Scholar
• Bigne, E., Ruiz, C., Cuenca, A., Perez, C., & Garcia, A. (2021). What drives the helpfulness of online reviews? A deep learning study of sentiment analysis, pictorial content and reviewer expertise for mature destinations. Journal of Destination Marketing & Management, 20, Article 100570. https://doi.org/10.1016/j.jdmm.2021.100570
   Web of Science ®Google Scholar
• Cai, Y., & Zhu, D. (2016). Fraud detections for online businesses: A perspective from blockchain technology. Financial Innovation, 2(1), 1–10. https://doi.org/10.1186/s40854-015-0019-0
   Google Scholar
• Calvaresi, D., Leis, M., Dubovitskaya, A., Schegg, R., & Schumacher, M. (2019). Trust in tourism via blockchain technology: Results from a systematic review. In J. Pesonen & J. Neidhardt (Eds.), Information and communication technologies in tourism 2019. Springer. https://doi.org/10.1007/978-3-030-05940-8_24
   Google Scholar
• Cardoso, E. F., Silva, R. M., & Almeida, T. A. (2018). Towards automatic filtering of fake reviews. Neurocomputing, 309(2018), 106–116. https://doi.org/10.1016/j.neucom.2018.04.074
   Google Scholar
• Chen, Y. F., & Law, R. (2016). A review of research on electronic word-of-mouth in hospitality and tourism management. International Journal of Hospitality & Tourism Administration, 17(4), 347–372. https://doi.org/10.1080/15256480.2016.1226150
   Web of Science ®Google Scholar
• Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29(5), 944–957. https://doi.org/10.1287/mksc.1100.0572
   Web of Science ®Google Scholar
• Dadkhah, M., Rahimnia, F., & Filimonau, V. (2022). Evaluating the opportunities, challenges and risks of applying the blockchain technology in tourism: A Delphi study approach. Journal of Hospitality and Tourism Technology. Advance online publication. https://doi.org/10.1108/JHTT-04-2021-0115
   Web of Science ®Google Scholar
• Dellarocas, C. (2000). Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior. In Proceedings of the 2nd ACM Conference on Electronic Commerce (pp. 150–157). Association for Computing Machinery.
   Google Scholar
• Demirel, E., Karagöz Zeren, S., & Hakan, K. (2022). Smart contracts in tourism industry: A model with blockchain integration for post pandemic economy. Current Issues in Tourism, 25(12), 1895–1909. https://doi.org/10.1080/13683500.2021.1960280
   Web of Science ®Google Scholar
• Di Fabbrizio, G., Aker, A., & Gaizauskas, R. (2013). Summarizing online reviews using aspect rating distributions and language modeling. IEEE Intelligent Systems, 28(3), 28–37. https://doi.org/10.1109/MIS.2013.36
   Web of Science ®Google Scholar
• Dong, B., Li, M., & Sivakumar, K. (2019). Online review characteristics and trust: A cross-country examination. Decision Sciences, 50(3), 537–566. https://doi.org/10.1111/deci.12339
   Web of Science ®Google Scholar
• Erceg, A., Damoska Sekuloska, J., & Kelić, I. (2020). Blockchain in the tourism industry—A review of the situation in Croatia and Macedonia. Informatics, 7(1), 5.
   Google Scholar
• European Parliament and of the Council of the European Union. (2019). Directive (EU) 2019/2161 of the European Parliament and of the Council of 27 November 2019 amending Council Directive 93/13/EEC and Directives 98/6/EC, 2005/29/EC and 2011/83/EU of the European Parliament and of the Council as regards the better enforcement and modernisation of Union consumer protection rules. Retrieved May 19, 2022, from https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32019L2161
   Google Scholar
• Filimonau, V., & Naumova, E. (2020). The blockchain technology and the scope of its application in hospitality operations. International Journal of Hospitality Management, 87(2020), Article 102383. https://doi.org/10.1016/j.ijhm.2019.102383
   Google Scholar
• Fiorentino, S., & Bartolucci, S. (2019). New governance perspectives on the sharing economy. A blockchain application for the ‘smart’ management of co-working spaces with a return for local authorities. SSRN. Retrieved November 1, 2019, from https://ssrn.com/abstract=3478870
   Google Scholar
• Gao, B., Ding, X., Chen, W., Jiang, X., & Wu, J. (2020). When online reviews meet ACSI: How ACSI moderates the effects of online reviews on hotel revenue. Journal of Travel & Tourism Marketing, 37(3), 396–408. https://doi.org/10.1080/10548408.2020.1767261
   Web of Science ®Google Scholar
• Gavilan, D., Avello, M., & Martinez-Navarro, G. (2018). The influence of online ratings and reviews on hotel booking consideration. Tourism Management, 66(2018), 53–61. https://doi.org/10.1016/j.tourman.2017.10.018
   Google Scholar
• Gupta, M. (2017). Blockchain for dummies (IBM Limited ed.). John Wiley & Sons.
   Google Scholar
• He, S., Hollenbeck, B., & Proserpio, D. (2022). The market for fake reviews. Marketing Science, 41(5), 896–921. https://doi.org/10.1287/mksc.2022.1353
   Web of Science ®Google Scholar
• Hsiao, Y.-H., & Hsiao, Y.-T. (2021). Online review analytics for hotel quality at macro and micro levels. Industrial Management & Data Systems, 121(2), 268–289. https://doi.org/10.1108/IMDS-04-2020-0214
   Web of Science ®Google Scholar
• Irannezhad, E., & Mahadevan, R. (2020). Is blockchain tourism’s new hope? Journal of Hospitality and Tourism Technology, 12(1), 85–96. https://doi.org/10.1108/JHTT-02-2019-0039
   Web of Science ®Google Scholar
• Karode, T., & Werapun, W. (2020, June). Performance analysis of trustworthy online review system using blockchain. In 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 510–513). IEEE.
   Google Scholar
• Khan, A. (2015). Bitcoin–payment method or fraud prevention tool? Computer Fraud & Security, 2015(5), 16–19. https://doi.org/10.1016/S1361-3723(15)30038-5
   Google Scholar
• Kizildag, M., Dogru, T., Zhang, T. C., Mody, M. A., Altin, M., Ozturk, A. B., & Ozdemir, O. (2020). Blockchain: A paradigm shift in business practices. International Journal of Contemporary Hospitality Management, 32(3), 953–975. https://doi.org/10.1108/IJCHM-12-2018-0958
   Web of Science ®Google Scholar
• Koo, C., Kwon, J., Chung, N., & Kim, J. (2022). Metaverse tourism: Conceptual framework and research propositions. Current Issues in Tourism, 1–7. https://doi.org/10.1080/13683500.2022.2122781
   Web of Science ®Google Scholar
• Kowalewski, D., McLaughlin, J., & Hill, A. (2017). Blockchain will transform customer loyalty programs. Harvard Business Review, 14. https://hbr.org/2017/03/blockchain-willtransform-customer-loyalty-programs
   Google Scholar
• Kwok, A. O., & Koh, S. G. (2019). Is blockchain technology a watershed for tourism development? Current Issues in Tourism, 22(20), 2447–2452. https://doi.org/10.1080/13683500.2018.1513460
   Web of Science ®Google Scholar
• Litvin, S. W., Goldsmith, R. E., & Pan, B. (2018). A retrospective view of electronic word-of-mouth in hospitality and tourism management. International Journal of Contemporary Hospitality Management, 30(1), 313–325. https://doi.org/10.1108/IJCHM-08-2016-0461
   Web of Science ®Google Scholar
• Liu, S., Law, R., Rong, J., Li, G., & Hall, J. (2013). Analyzing changes in hotel customers’ expectations by trip mode. International Journal of Hospitality Management, 34(2013), 359–371. https://doi.org/10.1016/j.ijhm.2012.11.011
   Google Scholar
• Liu, W., & Ji, R. (2019). Do hotel responses matter?: A comprehensive perspective on investigating online reviews. Information Resources Management Journal, 32(3), 70–89. https://doi.org/10.4018/IRMJ.2019070104
   Web of Science ®Google Scholar
• Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47(2015), 140–151. https://doi.org/10.1016/j.tourman.2014.09.020
   Google Scholar
• Luo, L., & Zhou, J. (2021). Blocktour: A blockchain-based smart tourism platform. Computer Communications, 175(2021), 186–192. https://doi.org/10.1016/j.comcom.2021.05.011
   Google Scholar
• Martens, D., & Maalej, W. (2018). Reviewchain: Untampered product reviews on the blockchain. In Proceedings of the 1st international workshop on emerging trends in software engineering for blockchain (pp. 40–43). Association for Computing Machinery.
   Google Scholar
• Martin-Fuentes, E., Mateu, C., & Fernandez, C. (2018). Does verifying uses influence rankings? Analyzing Booking. com and Tripadvisor. Tourism Analysis, 23(1), 1–15. https://doi.org/10.3727/108354218X15143857349459
   Web of Science ®Google Scholar
• Mayzlin, D., Dover, Y., & Chevalier, J. (2014). Promotional reviews: An empirical investigation of online review manipulation. American Economic Review, 104(8), 2421–2455. https://doi.org/10.1257/aer.104.8.2421
   Web of Science ®Google Scholar
• Mellinas, J. P., & Martin-Fuentes, E. (2021). Effects of Booking. com's new scoring system. Tourism Management, 85(2021), Article 104280. https://doi.org/10.1016/j.tourman.2020.104280
   Google Scholar
• Mucchi, L., Milanesi, M., & Becagli, C. (2022). Blockchain technologies for museum management. The case of the loan of cultural objects. Current Issues in Tourism, 25(18), 3042–3056. https://doi.org/10.1080/13683500.2022.2050358
   Web of Science ®Google Scholar
• Mudambi, S. M., & Schuff, D. (2010). Research note: What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34(1), 185–200. https://doi.org/10.2307/20721420
   Web of Science ®Google Scholar
• Muritala, B. A., Sánchez-Rebull, M. V., & Hernández-Lara, A. B. (2020). A bibliometric analysis of online reviews research in tourism and hospitality. Sustainability, 12(23), Article 9977. https://doi.org/10.3390/su12239977
   Web of Science ®Google Scholar
• Nadal, P. (2012). O me regalas algo o te pongo comentarios negativos. Retrieved May 18, 2022, from https://elpais.com/elpais/2012/09/05/paco_nadal/1346832988_134683.html
   Google Scholar
• Nam, K., Dutt, C. S., Chathoth, P., & Khan, M. S. (2021). Blockchain technology for smart city and smart tourism: Latest trends and challenges. Asia Pacific Journal of Tourism Research, 26(4), 454–468. https://doi.org/10.1080/10941665.2019.1585376
   Web of Science ®Google Scholar
• Ngarmwongnoi, C., Oliveira, J. S., AbedRabbo, M., & Mousavi, S. (2020). The implications of eWOM adoption on the customer journey. Journal of Consumer Marketing, 37(7), 749–759. https://doi.org/10.1108/JCM-10-2019-3450
   Web of Science ®Google Scholar
• OCU. (2019). Fake reviews en Amazon, Tripadvisor y Booking. Retrieved May 19, 2022, from https://www.ocu.org/consumo-familia/compras-online/noticias/fake-reviews
   Google Scholar
• Önder, I., & Gunter, U. (2022). Blockchain: Is it the future for the tourism and hospitality industry? Tourism Economics, 28(2), 291–299. https://doi.org/10.1177/1354816620961707
   Web of Science ®Google Scholar
• Önder, I., & Treiblmaier, H. (2018). Blockchain and tourism: Three research propositions. Annals of Tourism Research, 72(2018), 180–182. https://doi.org/10.1016/j.annals.2018.03.005
   Google Scholar
• Papathanassis, A., & Knolle, F. (2011). Exploring the adoption and processing of online holiday reviews: A grounded theory approach. Tourism Management, 32(2), 215–224. https://doi.org/10.1016/j.tourman.2009.12.005
   Web of Science ®Google Scholar
• Rashideh, W. (2020). Blockchain technology framework: Current and future perspectives for the tourism industry. Tourism Management, 80(2020), Article 104125. https://doi.org/10.1016/j.tourman.2020.104125
   Google Scholar
• Rejeb, A., Keogh, J. G., & Treiblmaier, H. (2020). How blockchain technology can benefit marketing: Six pending research areas. Frontiers in Blockchain, 3, Article 3. https://doi.org/10.3389/fbloc.2020.00003
   Google Scholar
• Reyes-Menendez, A., Saura, J. R., & Filipe, F. (2019). The importance of behavioral data to identify online fake reviews for tourism businesses: A systematic review. PeerJ Computer Science, 5, Article e219. https://doi.org/10.7717/peerj-cs.219
   PubMedGoogle Scholar
• SafetyDetectives. (2021). Amazon fake reviews scam exposed in data breach. Retrieved May 19, 2022, from https://www.safetydetectives.com/blog/amazon-reviews-leak-report/
   Google Scholar
• Salminen, J., Kandpal, C., Kamel, A. M., Jung, S. G., & Jansen, B. J. (2022). Creating and detecting fake reviews of online products. Journal of Retailing and Consumer Services, 64(2022), Article 102771. https://doi.org/10.1016/j.jretconser.2021.102771
   Google Scholar
• Schaub, A., Bazin, R., Hasan, O., & Brunie, L. (2016). A trustless privacy-preserving reputation system. In IFIP international Conference on ICT Systems Security and Privacy Protection (pp. 398–411). Springer.
   Google Scholar
• Schuckert, M., Liu, X., & Law, R. (2015). Hospitality and tourism online reviews: Recent trends and future directions. Journal of Travel & Tourism Marketing, 32(5), 608–621. https://doi.org/10.1080/10548408.2014.933154
   Web of Science ®Google Scholar
• Soska, K., & Christin, N. (2015). Measuring the longitudinal evolution of the online anonymous marketplace ecosystem. In Proceedings of the 24th USENIX Security Symposium (USENIX Security'15) (pp. 33–48). The USENIX Association.
   Google Scholar
• Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310–1323. https://doi.org/10.1016/j.tourman.2010.12.011
   Web of Science ®Google Scholar
• Su, K. W., Chiu, P. C., & Lin, T. H. (2022). Establishing a blockchain online travel agency with a human–computer interaction perspective. Journal of Hospitality and Tourism Technology, 13(3), 559–572. https://doi.org/10.1108/JHTT-01-2021-0038
   Web of Science ®Google Scholar
• Su, L., Yang, Q., Swanson, S. R., & Chen, N. C. (2022). The impact of online reviews on destination trust and travel intention: The moderating role of online review trustworthiness. Journal of Vacation Marketing, 28(4), 406–423. https://doi.org/10.1177/13567667211063207
   Web of Science ®Google Scholar
• Sun, J., Yan, J., & Zhang, K. Z. (2016). Blockchain-based sharing services: What blockchain technology can contribute to smart cities. Financial Innovation, 2(1), 1–9. https://doi.org/10.1186/s40854-015-0019-0
   Web of Science ®Google Scholar
• Treiblmaier, H. (2022). Blockchain and tourism: Paradoxes, misconceptions, and a research roadmap. Tourism Economics, 28(7), 1956–1960. doi:10.1177/13548166211013276.
   Web of Science ®Google Scholar
• Treiblmaier, H., Leung, D., Kwok, A. O., & Tham, A. (2021). Cryptocurrency adoption in travel and tourism–An exploratory study of Asia Pacific travellers. Current Issues in Tourism, 24(22), 3165–3181. https://doi.org/10.1080/13683500.2020.1863928
   Web of Science ®Google Scholar
• Tyan, I., Yagüe, M. I., & Guevara-Plaza, A. (2020). Blockchain technology for smart tourism destinations. Sustainability, 12(22), Article 9715. https://doi.org/10.3390/su12229715
   Web of Science ®Google Scholar
• Valeri, M., & Baggio, R. (2021). A critical reflection on the adoption of blockchain in tourism. Information Technology & Tourism, 23(2), 121–132. https://doi.org/10.1007/s40558-020-00183-1
   Web of Science ®Google Scholar
• Wen, J., Lin, Z., Liu, X., Xiao, S. H., & Li, Y. (2021). The interaction effects of online reviews, brand, and price on consumer hotel booking decision making. Journal of Travel Research, 60(4), 846–859. https://doi.org/10.1177/0047287520912330
   Web of Science ®Google Scholar
• Wu, Y., Ngai, E. W., Wu, P., & Wu, C. (2020). Fake online reviews: Literature review, synthesis, and directions for future research. Decision Support Systems, 132(2020), Article 113280. https://doi.org/10.1016/j.dss.2020.113280
   Google Scholar
• Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58(2017), 51–65. https://doi.org/10.1016/j.tourman.2016.10.001
   Google Scholar
• Xie, K. L., Zhang, Z., Zhang, Z., Singh, A., & Lee, S. K. (2016). Effects of managerial response on consumer eWOM and hotel performance: Evidence from TripAdvisor. International Journal of Contemporary Hospitality Management, 28(9), 2013–2034. https://doi.org/10.1108/IJCHM-06-2015-0290
   Web of Science ®Google Scholar
• Xu, Y., Zhang, Z., Law, R., & Zhang, Z. (2020). Effects of online reviews and managerial responses from a review manipulation perspective. Current Issues in Tourism, 23(17), 2207–2222. https://doi.org/10.1080/13683500.2019.1626814
   Web of Science ®Google Scholar
• Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180–182. https://doi.org/10.1016/j.ijhm.2008.06.011
   Web of Science ®Google Scholar
• Zhang, Z., Ye, Q., Law, R., & Li, Y. (2010). The impact of e-word-of-mouth on the online popularity of restaurants: A comparison of consumer reviews and editor reviews. International Journal of Hospitality Management, 29(4), 694–700. https://doi.org/10.1016/j.ijhm.2010.02.002
   Web of Science ®Google Scholar
• Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352–375. https://doi.org/10.1504/IJWGS.2018.095647
   Web of Science ®Google Scholar