IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v12y2020i2p31-d318734.html
   My bibliography  Save this article

A Survey on Troll Detection

Author

Listed:
  • Michele Tomaiuolo

    (Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy)

  • Gianfranco Lombardo

    (Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy)

  • Monica Mordonini

    (Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy)

  • Stefano Cagnoni

    (Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy)

  • Agostino Poggi

    (Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy)

Abstract

A troll is usually defined as somebody who provokes and offends people to make them angry, who wants to dominate any discussion or who tries to manipulate people’s opinions. The problems caused by such persons have increased with the diffusion of social media. Therefore, on the one hand, press bodies and magazines have begun to address the issue and to write articles about the phenomenon and its related problems while, on the other hand, universities and research centres have begun to study the features characterizing trolls and to look for solutions for their identification. This survey aims at introducing the main researches dedicated to the description of trolls and to the study and experimentation of methods for their detection.

Suggested Citation

  • Michele Tomaiuolo & Gianfranco Lombardo & Monica Mordonini & Stefano Cagnoni & Agostino Poggi, 2020. "A Survey on Troll Detection," Future Internet, MDPI, vol. 12(2), pages 1-14, February.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:2:p:31-:d:318734
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/12/2/31/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/12/2/31/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. King, Gary & Pan, Jennifer & Roberts, Margaret E., 2017. "How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument," American Political Science Review, Cambridge University Press, vol. 111(3), pages 484-501, August.
    2. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    3. Gregory D. Larosiliere & Lemuria D. Carter & Christian Meske, 2017. "How does the world connect? Exploring the global diffusion of social network sites," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(8), pages 1875-1885, August.
    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. Li, Fei & Song, Yangbo & Zhao, Mofei, 2023. "Global manipulation by local obfuscation," Journal of Economic Theory, Elsevier, vol. 207(C).
    2. Roman Inderst & Marco Ottaviani, 2013. "Sales Talk, Cancellation Terms and the Role of Consumer Protection," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 1002-1026.
    3. Heyes, Anthony & Kapur, Sandeep, 2012. "Angry customers, e-word-of-mouth and incentives for quality provision," Journal of Economic Behavior & Organization, Elsevier, vol. 84(3), pages 813-828.
    4. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
    5. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    6. Erin Baggott Carter & Brett L. Carter, 2021. "Propaganda and Protest in Autocracies," Journal of Conflict Resolution, Peace Science Society (International), vol. 65(5), pages 919-949, May.
    7. Michael Luca & Georgios Zervas, 2013. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Harvard Business School Working Papers 14-006, Harvard Business School, revised May 2015.
    8. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    9. Broere, Mark & Christmann, Robin, 2024. "Signaling and Fraud when Crowdfunding Campaigns Compete for Pledges," MPRA Paper 121784, University Library of Munich, Germany.
    10. Emilie Frenkiel & Anna Shpakovskaya, 2019. "The Evolution of Representative Claim-Making by the Chinese Communist Party: From Mao to Xi (1949–2019)," Politics and Governance, Cogitatio Press, vol. 7(3), pages 208-219.
    11. Yabing Jiang & Hong Guo, 2012. "Design of Consumer Review Systems and Product Pricing," Working Papers 12-10, NET Institute.
    12. 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.
    13. repec:tiu:tiutis:e611d57c-0172-4fc3-b1f3-9e569776398b is not listed on IDEAS
    14. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    15. Xu Guan & Baoshan Liu & Ying‐ju Chen & Hongwei Wang, 2020. "Inducing Supply Chain Transparency through Supplier Encroachment," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 725-749, March.
    16. 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.
    17. Konya-Baumbach, Elisa & Schuhmacher, Monika C. & Kuester, Sabine & Kuharev, Victoria, 2019. "Making a first impression as a start-up: Strategies to overcome low initial trust perceptions in digital innovation adoption," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 385-399.
    18. Wang Zhongmin, 2010. "Anonymity, Social Image, and the Competition for Volunteers: A Case Study of the Online Market for Reviews," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-35, May.
    19. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
    20. Panagiotis Adamopoulos & Anindya Ghose & Vilma Todri, 2018. "The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms," Information Systems Research, INFORMS, vol. 29(3), pages 612-640, September.
    21. Iacus Stefano M. & Salini Silvia & Siletti Elena & Porro Giuseppe, 2020. "Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal," Journal of Official Statistics, Sciendo, vol. 36(2), pages 315-338, June.

    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:gam:jftint:v:12:y:2020:i:2:p:31-:d:318734. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.