IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v27y2025i1d10.1007_s40558-024-00300-4.html
   My bibliography  Save this article

Beyond words: unveiling the implications of blank reviews in online rating systems

Author

Listed:
  • Juan Pedro Mellinas

    (Universidad de Murcia)

  • Veronica Leoni

    (University of the Balearic Islands
    University of Bologna)

Abstract

This study analyzes how review length relates to numerical scores on online platforms, conducting separate analyses for positive and negative comments and accounting for non-linearities in the relationship. Moreover, we consider the role played by blank reviews, i.e. those ratings without textual content, a topic that has been largely overlooked in previous works. Our findings suggest that blank reviews are positively correlated with higher scores, which has important implications for the ordering of reviews on online platforms. We propose that these results can be explained by social exchange theory, which suggests that less strict review policies could increase engagement and lead to a more balanced evaluation of establishments. This could offset the tendency of dissatisfied guests to disproportionately report negative experiences. Future studies should compare the composition of guest reviews on platforms adopting differing review policies.

Suggested Citation

  • Juan Pedro Mellinas & Veronica Leoni, 2025. "Beyond words: unveiling the implications of blank reviews in online rating systems," Information Technology & Tourism, Springer, vol. 27(1), pages 263-284, March.
  • Handle: RePEc:spr:infott:v:27:y:2025:i:1:d:10.1007_s40558-024-00300-4
    DOI: 10.1007/s40558-024-00300-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-024-00300-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40558-024-00300-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hossain, Md Shamim & Rahman, Mst Farjana, 2022. "Detection of potential customers’ empathy behavior towards customers' reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    2. Teck-Soon Hew & Sharifah Latifah Syed A. Kadir, 2017. "Applying Channel Expansion and Self-Determination Theory in predicting use behaviour of cloud-based VLE," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(9), pages 875-896, September.
    3. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    4. Herr, Paul M & Kardes, Frank R & Kim, John, 1991. "Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 454-462, March.
    5. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    6. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    7. Sangjae Lee & Joon Yeon Choeh, 2016. "The determinants of helpfulness of online reviews," Behaviour and Information Technology, Taylor & Francis Journals, vol. 35(10), pages 853-863, October.
    8. Yoon-Joo Park, 2018. "Predicting the Helpfulness of Online Customer Reviews across Different Product Types," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    9. Ulrike Gretzel & Kyung Hyan Yoo, 2008. "Use and Impact of Online Travel Reviews," Springer Books, in: Peter O’Connor & Wolfram Höpken & Ulrike Gretzel (ed.), Information and Communication Technologies in Tourism 2008, pages 35-46, Springer.
    10. Erfan Rezvani & Christian Rojas, 2020. "Spatial price competition in the Manhattan hotel market: The role of location, quality, and online reputation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(1), pages 49-63, January.
    11. Simona Cicognani & Paolo Figini & Marco Magnani, 2022. "Social influence bias in ratings: A field experiment in the hospitality sector," Tourism Economics, , vol. 28(8), pages 2197-2218, December.
    12. Munar, Ana María & Jacobsen, Jens Kr. Steen, 2014. "Motivations for sharing tourism experiences through social media," Tourism Management, Elsevier, vol. 43(C), pages 46-54.
    13. Filieri, Raffaele, 2016. "What makes an online consumer review trustworthy?," Annals of Tourism Research, Elsevier, vol. 58(C), pages 46-64.
    14. Pashchenko, Yana & Rahman, Mst Farjana & Hossain, Md Shamim & Uddin, Md Kutub & Islam, Tarannum, 2022. "Emotional and the normative aspects of customers’ reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    Full references (including those not matched with items on IDEAS)

    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.
    1. Tomi Rajala, 2019. "Mind the Information Expectation Gap," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 104-125, March.
    2. Raoofpanah, Iman & Zamudio, César & Groening, Christopher, 2023. "Review reader segmentation based on the heterogeneous impacts of review and reviewer attributes on review helpfulness: A study involving ZIP code data," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Liu, Zhenkun & Zhang, Ying & Abedin, Mohammad Zoynul & Wang, Jianzhou & Yang, Hufang & Gao, Yuyang & Chen, Yinghao, 2024. "Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    4. Alisa Kazakova & Meerim Karimova & Insin Kim, 2021. "Examining Rapport with Local People, International Students’ Roles through Travel Experience and Sustainable Tourism," Sustainability, MDPI, vol. 13(17), pages 1-15, September.
    5. Nakagawa, Mariko & Sato, Yasuhiro & Tabuchi, Takatoshi & Yamamoto, Kazuhiro, 2022. "Do people accept different cultures?," Journal of Urban Economics, Elsevier, vol. 130(C).
    6. Dipankar Das, 2022. "Measurement of Trustworthiness of the Online Reviews," Papers 2210.00815, arXiv.org, revised Nov 2023.
    7. Carlos Fernando Osorio-Andrade & Carlos Alberto Arango Pastrana & Augusto Rodríguez Orejuela, 2023. "Evolución de la investigación científica sobre electronic word of mouth en la industria del turismo: un análisis bibliométrico," Estudios Gerenciales, Universidad Icesi, vol. 39(166), pages 110-122, March.
    8. Hernández-Ortega, Blanca, 2020. "When the performance comes into play: The influence of positive online consumer reviews on individuals' post-consumption responses," Journal of Business Research, Elsevier, vol. 113(C), pages 422-435.
    9. Miyea Kim & Jeongsoo Han & Mina Jun, 2020. "Do same-level review ratings have the same level of review helpfulness? The role of information diagnosticity in online reviews," Information Technology & Tourism, Springer, vol. 22(4), pages 563-591, December.
    10. Garrett P. Sonnier & Leigh McAlister & Oliver J. Rutz, 2011. "A Dynamic Model of the Effect of Online Communications on Firm Sales," Marketing Science, INFORMS, vol. 30(4), pages 702-716, July.
    11. Dongpu Fu & Yili Hong & Kanliang Wang & Weiguo Fan, 2018. "Effects of membership tier on user content generation behaviors: evidence from online reviews," Electronic Commerce Research, Springer, vol. 18(3), pages 457-483, September.
    12. Michael Scholz & Verena Dorner, 2013. "The Recipe for the Perfect Review?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 141-151, June.
    13. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Grenoble Ecole de Management (Post-Print) halshs-01923196, HAL.
    14. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Grenoble Ecole de Management (Post-Print) halshs-01923243, HAL.
    15. Wang, Yihan & Zhong, Ke & Liu, Qihua, 2022. "Let criticism take precedence: Effect of side order on consumer attitudes toward a two-sided online review," Journal of Business Research, Elsevier, vol. 140(C), pages 403-419.
    16. Swagato Chatterjee, 2025. "Effect of construal level on the drivers of online-review-helpfulness," Electronic Commerce Research, Springer, vol. 25(2), pages 1115-1143, April.
    17. Kristiina Herold & Anssi Tarkiainen & Sanna Sundqvist, 2016. "How the source of word-of-mouth influences information processing in the formation of brand attitudes," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 26(1), pages 64-85, January.
    18. Bastos, Wilson & Moore, Sarah G., 2021. "Making word-of-mouth impactful: Why consumers react more to WOM about experiential than material purchases," Journal of Business Research, Elsevier, vol. 130(C), pages 110-123.
    19. Shobhit Kakaria & Aline Simonetti & Enrique Bigne, 2024. "Interaction between extrinsic and intrinsic online review cues: perspectives from cue utilization theory," Electronic Commerce Research, Springer, vol. 24(4), pages 2469-2497, December.
    20. Wlömert, Nils & Papies, Dominik, 2016. "On-demand streaming services and music industry revenues — Insights from Spotify's market entry," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 314-327.

    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:spr:infott:v:27:y:2025:i:1:d:10.1007_s40558-024-00300-4. 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: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.