IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v14y2020i1p316-323n30.html
   My bibliography  Save this article

The impact of fake news on the real estate market

Author

Listed:
  • Onete Cristian Bogdan

    (The Department of Business, Consumer Sciences and Quality Management, Faculty of Business and Tourism, Bucharest University of Economic Studies, Bucharest, Romania)

  • Chita Sandra Diana

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Vargas Vanesa Madalina

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

We are living in an extremely globalized and digitalized world where social media represent the core of our existence whether for personal or professional reasons. Social media impact on business in general caught the attention of researchers (Grizane & Jurgelane, 2017) during the last years, especially to measure the impact of their use in business growth, increasing sales and/or customer loyalty. There are more and more studies that focus on the harmful effect of fake news on specific markets, news that may appear easily and are difficult to control. Fake news can affect both the customers and/ or the business depending on the context. The purpose of this study is to identify how are the fake news appearing in a world where access to information is so simple and everybody can check the truthfulness of information and what kind of barriers are used to protect the business from being affected and the customers from being misinformed. Data for this paper are gathered using in-depth interviews with entrepreneurs from real estate businesses. The results show that the level of increasing fake news is affecting the trust building process. Recommendations are put forward for organizations to analyze more user behavior and use it for the decision-making process in order to limit the negative effects of fake news. Also, customers need to learn to identify quality brand communication, pay attention to details and be very precautions while taking decisions based on news that may be fake.

Suggested Citation

  • Onete Cristian Bogdan & Chita Sandra Diana & Vargas Vanesa Madalina, 2020. "The impact of fake news on the real estate market," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 316-323, July.
    • Handle: RePEc:vrs:poicbe:v:14:y:2020:i:1:p:316-323:n:30
    DOI: 10.2478/picbe-2020-0030
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2020-0030
    Download Restriction: no
    File URL: https://libkey.io/10.2478/picbe-2020-0030?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
    ---><---

    References listed on IDEAS

    as
    1. Iacob Catoiu & Mihai Orzan & Octav-Ionut Macovei & Claudia Iconaru, 2014. "Modelling Users` Trust in Online Social Networks," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(35), pages 289-289, February.
    2. Adam Kucharski, 2016. "Study epidemiology of fake news," Nature, Nature, vol. 540(7634), pages 525-525, December.
    3. Andreas Munzel, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Post-Print halshs-01522497, HAL.
    4. Andreas Munzel, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Post-Print hal-02423574, HAL.
    5. Munzel, Andreas, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 96-108.
    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. Pop Mihai-Ionuț & Ene Irina, 2019. "Influence of the educational level on the spreading of Fake News regarding the energy field in the online environment," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 1108-1117, May.
    2. Visentin, Marco & Pizzi, Gabriele & Pichierri, Marco, 2019. "Fake News, Real Problems for Brands: The Impact of Content Truthfulness and Source Credibility on consumers' Behavioral Intentions toward the Advertised Brands," Journal of Interactive Marketing, Elsevier, vol. 45(C), pages 99-112.
    3. 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).
    4. Stockheim, Inbal & Perez, Dikla & Podkamien, Yael, 2024. "Friend and Foe: The impact of complimentary competitor content (CCC) on consumer response towards the endorsing competitor," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    5. Petrescu, Maria & O’Leary, Kathleen & Goldring, Deborah & Ben Mrad, Selima, 2018. "Incentivized reviews: Promising the moon for a few stars," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 288-295.
    6. Kim, Molan & Lee, Seung Min & Choi, Sanghak & Kim, Sang Yong, 2021. "Impact of visual information on online consumer review behavior: Evidence from a hotel booking website," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    7. Osterbrink Lars & Alpar Paul & Seher Alexander, 2020. "Influence of Images in Online Reviews for Search Goods on Helpfulness," Review of Marketing Science, De Gruyter, vol. 18(1), pages 43-73, September.
    8. Könsgen, Raoul & Schaarschmidt, Mario & Ivens, Stefan & Munzel, Andreas, 2018. "Finding Meaning in Contradiction on Employee Review Sites — Effects of Discrepant Online Reviews on Job Application Intentions," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 165-177.
    9. Plotkina, Daria & Munzel, Andreas & Pallud, Jessie, 2020. "Illusions of truth—Experimental insights into human and algorithmic detections of fake online reviews," Journal of Business Research, Elsevier, vol. 109(C), pages 511-523.
    10. 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).
    11. Moon, Sangkil & Kim, Moon-Yong & Iacobucci, Dawn, 2021. "Content analysis of fake consumer reviews by survey-based text categorization," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 343-364.
    12. Leon, Steven & Dixon, Sonoma, 2023. "Airline satisfaction and loyalty: Assessing the influence of personality, trust and service quality," Journal of Air Transport Management, Elsevier, vol. 113(C).
    13. Xu, Xun & Zeng, Shuo & He, Yuanjie, 2021. "The impact of information disclosure on consumer purchase behavior on sharing economy platform Airbnb," International Journal of Production Economics, Elsevier, vol. 231(C).
    14. Hossin Md Altab & Mu Yinping & Hosain Md Sajjad & Adasa Nkrumah Kofi Frimpong & Michelle Frempomaa Frempong & Stephen Sarfo Adu-Yeboah, 2022. "Understanding Online Consumer Textual Reviews and Rating: Review Length With Moderated Multiple Regression Analysis Approach," SAGE Open, , vol. 12(2), pages 21582440221, June.
    15. Sharma, Manu & Kaushal, Deepak & Joshi, Sudhanshu, 2023. "Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    16. Costa, Ana & Guerreiro, João & Moro, Sérgio & Henriques, Roberto, 2019. "Unfolding the characteristics of incentivized online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 272-281.
    17. Aghakhani, Hamed & Main, Kelley J., 2019. "Can two negatives make a positive? Social exclusion prevents carryover effects from deceptive advertising," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 206-214.
    18. Talwar, Shalini & Dhir, Amandeep & Kaur, Puneet & Zafar, Nida & Alrasheedy, Melfi, 2019. "Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 72-82.
    19. Ismagilova, Elvira & Slade, Emma & Rana, Nripendra P. & Dwivedi, Yogesh K., 2020. "The effect of characteristics of source credibility on consumer behaviour: A meta-analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    20. 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.

    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:vrs:poicbe:v:14:y:2020:i:1:p:316-323:n:30. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.