IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i17p13178-d1231337.html
   My bibliography  Save this article

Developing Chatbots for Cyber Security: Assessing Threats through Sentiment Analysis on Social Media

Author

Listed:
  • Amit Arora

    (School of Business and Public Administration, University of the District of Columbia, Washington, DC 20008, USA)

  • Anshu Arora

    (School of Business and Public Administration, University of the District of Columbia, Washington, DC 20008, USA)

  • John McIntyre

    (Scheller College of Business, Georgia Institute of Technology, Atlanta, GA 30332, USA)

Abstract

In recent years, groups of cyber criminals/hackers have carried out cyber-attacks using various tactics with the goal of destabilizing web services in a specific context for which they are motivated. Predicting these attacks is a critical task that assists in determining what actions should be taken to mitigate the effects of such attacks and to prevent them in the future. Although there are programs to detect security concerns on the internet, there is currently no system that can anticipate or foretell whether the attacks will be successful. This research aims to develop sustainable strategies to reduce threats, vulnerability, and data manipulation of chatbots, consequently improving cyber security. To achieve this goal, we develop a conversational chatbot, an application that uses artificial intelligence (AI) to communicate, and deploy it on social media sites (e.g., Twitter) for cyber security purposes. Chatbots have the capacity to consume large amounts of information and give an appropriate response in an efficient and timely manner, thus rendering them useful in predicting threats emanating from social media. The research utilizes sentiment analysis strategy by employing chatbots on Twitter (and analyzing Twitter data) for predicting future threats and cyber-attacks. The strategy is based on a daily collection of tweets from two types of users: those who use the platform to voice their opinions on important and relevant subjects, and those who use it to share information on cyber security attacks. The research provides tools and strategies for developing chatbots that can be used for assessing cyber threats on social media through sentiment analysis leading to a global sustainable development of businesses. Future research may utilize and improvise on the tools and strategies suggested in our research to strengthen the knowledge domain of chatbots, cyber security, and social media.

Suggested Citation

  • Amit Arora & Anshu Arora & John McIntyre, 2023. "Developing Chatbots for Cyber Security: Assessing Threats through Sentiment Analysis on Social Media," Sustainability, MDPI, vol. 15(17), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13178-:d:1231337
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/17/13178/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/17/13178/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fellnhofer, Katharina, 2023. "Positivity and higher alertness levels facilitate discovery: Longitudinal sentiment analysis of emotions on Twitter," Technovation, Elsevier, vol. 122(C).
    2. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    3. Sheehan, Ben & Jin, Hyun Seung & Gottlieb, Udo, 2020. "Customer service chatbots: Anthropomorphism and adoption," Journal of Business Research, Elsevier, vol. 115(C), pages 14-24.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S. M. F. D. Syed Mustapha & Edmund Evangelista & Farhi Marir, 2023. "Towards Designing a Knowledge Sharing System for Higher Learning Institutions in the UAE Based on the Social Feature Framework," Sustainability, MDPI, vol. 15(22), pages 1-23, November.

    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. Katharina Klein & Luis F. Martinez, 2023. "The impact of anthropomorphism on customer satisfaction in chatbot commerce: an experimental study in the food sector," Electronic Commerce Research, Springer, vol. 23(4), pages 2789-2825, December.
    2. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    3. Mengjun Li & Ayoung Suh, 2022. "Anthropomorphism in AI-enabled technology: A literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2245-2275, December.
    4. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    5. Zhang, Yaqiong & Wang, Shifu, 2023. "The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    6. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.
    7. Alabed, Amani & Javornik, Ana & Gregory-Smith, Diana, 2022. "AI anthropomorphism and its effect on users' self-congruence and self–AI integration: A theoretical framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. Sofia Gomes & João M. Lopes & Elisabete Nogueira, 2025. "Anthropomorphism in artificial intelligence: a game-changer for brand marketing," Future Business Journal, Springer, vol. 11(1), pages 1-15, December.
    9. Juquelier, Antoine & Poncin, Ingrid & Hazée, Simon, 2025. "Empathic chatbots: A double-edged sword in customer experiences," Journal of Business Research, Elsevier, vol. 188(C).
    10. Choi, Sunhwa & Yi, Youjae & Zhao, Xiaohong, 2024. "The human touch vs. AI efficiency: How perceived status, effort, and loyalty shape consumer satisfaction with preferential treatment," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    11. Zogaj, Adnan & Mähner, Philipp M. & Yang, Linyu & Tscheulin, Dieter K., 2023. "It’s a Match! The effects of chatbot anthropomorphization and chatbot gender on consumer behavior," Journal of Business Research, Elsevier, vol. 155(PA).
    12. de Kervenoael, Ronan & Schwob, Alexandre & Hasan, Rajibul & Psylla, Evangelia, 2024. "SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    13. Zhou, Cheng & Chang, Qian, 2024. "Informational or emotional? Exploring the relative effects of chatbots’ self-recovery strategies on consumer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    14. Taoufiq Dadouch & Bouchra Bennani & Malika Haoucha, 2023. "Consumer Acceptance of Mobile Shopping Apps, From Basic Apps to AI-Conversational Apps: A Literature Review," Post-Print hal-04194657, HAL.
    15. Murtaza, Zara & Sharma, Isha & Carbonell, Pilar, 2024. "Examining chatbot usage intention in a service encounter: Role of task complexity, communication style, and brand personality," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    16. Nitin Upadhyay & Aakash Kamble, 2024. "Why can’t we help but love mobile banking chatbots? Perspective of stimulus-organism-response," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 855-872, September.
    17. Sestino, Andrea & D'Angelo, Alfredo, 2023. "My doctor is an avatar! The effect of anthropomorphism and emotional receptivity on individuals' intention to use digital-based healthcare services," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    18. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    19. Aubel Martin & Pikturniene Indre & Joye Yannick, 2022. "Risk Perception and Risk Behavior in Response to Service Robot Anthropomorphism in Banking," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(2), pages 26-42, June.
    20. Nika Meyer (née Mozafari) & Melanie Schwede & Maik Hammerschmidt & Welf Hermann Weiger, 2022. "Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2491-2505, 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:gam:jsusta:v:15:y:2023:i:17:p:13178-:d:1231337. 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.