IDEAS home Printed from https://ideas.repec.org/a/spr/elcore/v21y2021i3d10.1007_s10660-018-09327-2.html
   My bibliography  Save this article

Hot topic prediction considering influence and expertise in social media

Author

Listed:
  • Kyoungsoo Bok

    (Chungbuk National University)

  • Yeonwoo Noh

    (Chungbuk National University)

  • Jongtae Lim

    (Chungbuk National University)

  • Jaesoo Yoo

    (Chungbuk National University)

Abstract

The hot topic detection designed to identify the recent issues and trends employs the analysis of real-time social media activities. The existing schemes suffer from low precision because they focus on keyword occurrence frequency in documents written by the unspecified majority. The existing schemes are incapable of predicting near-future hot topics as they are intended to detect hot topics at a particular time. We propose a new hot topic prediction scheme considering users’ influence and expertise in social media. The proposed scheme detects expected near-future hot topics by extracting a set of candidate keywords from social-media posts using the modified TF-IDF. The hot topic prediction index is calculated for each candidate keyword based on the influence and expertise of users who include it in their posts and hot topic predictions are performed based on the change rate over time. Finally, a comparison between existing and proposed hot topic detection schemes demonstrates the proposed scheme’s superiority.

Suggested Citation

  • Kyoungsoo Bok & Yeonwoo Noh & Jongtae Lim & Jaesoo Yoo, 2021. "Hot topic prediction considering influence and expertise in social media," Electronic Commerce Research, Springer, vol. 21(3), pages 671-687, September.
    • Handle: RePEc:spr:elcore:v:21:y:2021:i:3:d:10.1007_s10660-018-09327-2
    DOI: 10.1007/s10660-018-09327-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10660-018-09327-2
    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/s10660-018-09327-2?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. Giancarlo Sperlì & Flora Amato & Fabio Mercorio & Mario Mezzanzanica & Vincenzo Moscato & Antonio Picariello, 2018. "A Social Media Recommender System," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 9(1), pages 36-50, January.
    2. Safique Ahmed Faruque & Mossa. Anisa Khatun & Md. Saidur Rahman, 2016. "Modelling direct marketing campaign on social networks," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(4), pages 422-435.
    3. Sanghee Oh & Sue Yeon Syn, 2015. "Motivations for sharing information and social support in social media: A comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2045-2060, October.
    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. Diana Tsoy & Danijela Godinic & Qingyan Tong & Bojan Obrenovic & Akmal Khudaykulov & Konstantin Kurpayanidi, 2022. "Impact of Social Media, Extended Parallel Process Model (EPPM) on the Intention to Stay at Home during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(12), pages 1-32, June.
    2. Zhu, Chunxiao & Shou, Minghuan & Zhou, Yitong & Li, Wenrui, 2023. "Modeling the effect of social media on older adults’ usage intention of public transport," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 239-250.
    3. Shah, Zakir & Chu, Jianxun & Feng, Bo & Qaisar, Sara & Ghani, Usman & Hassan, Zameer, 2019. "If you care, I care: Perceived social support and public engagement via SNSs during crises," Technology in Society, Elsevier, vol. 59(C).
    4. Jiabei Xia & Tailai Wu & Liqin Zhou, 2021. "Sharing of Verified Information about COVID-19 on Social Network Sites: A Social Exchange Theory Perspective," IJERPH, MDPI, vol. 18(3), pages 1-12, January.
    5. Starr, Richard G. & Zhu, Andrew Q. & Frethey-Bentham, Catherine & Brodie, Roderick J., 2020. "Peer-to-peer interactions in the sharing economy: Exploring the role of reciprocity within a Chinese social network," Australasian marketing journal, Elsevier, vol. 28(3), pages 67-80.
    6. Hajir Al-Mawali & Kamla Ali Al-Busaidi, 2022. "Knowledge Sharing Through Enterprise Social Media in a Telecommunications Context," International Journal of Knowledge Management (IJKM), IGI Global, vol. 18(1), pages 1-27, January.
    7. Virginia Navajas-Romero & Rosalía Díaz-Carrión & Antonio Ariza-Montes, 2019. "Decent Work as Determinant of Work Engagement on Dependent Self-Employed," Sustainability, MDPI, vol. 11(9), pages 1-17, April.
    8. Raza, Syed Ali & Qazi, Wasim & Shah, Nida & Qureshi, Muhammad Asif & Qaiser, Shahzad & Ali, Ramsha, 2020. "Drivers of intensive Facebook usage among university students: An implications of U&G and TPB theories," Technology in Society, Elsevier, vol. 62(C).
    9. Garrett Morrow & Briony Swire‐Thompson & Jessica Montgomery Polny & Matthew Kopec & John P. Wihbey, 2022. "The emerging science of content labeling: Contextualizing social media content moderation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1365-1386, October.
    10. Mary Chidiac & Christopher Ross & Hannah R. Marston & Shannon Freeman, 2022. "Age and Gender Perspectives on Social Media and Technology Practices during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(21), pages 1-14, October.
    11. Stacy Tessler Lindau & Jennifer A. Makelarski & Emily M. Abramsohn & David G. Beiser & Kelly Boyd & Elbert S. Huang & Kelsey Paradise & Elizabeth L. Tung, 2022. "Sharing information about health‐related resources: Observations from a community resource referral intervention trial in a predominantly African American/Black community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 438-448, March.
    12. Cherniece J. Plume & Emma L. Slade, 2018. "Sharing of Sponsored Advertisements on Social Media: A Uses and Gratifications Perspective," Information Systems Frontiers, Springer, vol. 20(3), pages 471-483, June.
    13. María Cruz López-de-Ayala & Antonio García-Jiménez & Yolanda Pastor-Ruiz, 2021. "Differentiated Uses of Social Networking Platforms among Young People in the Autonomous Region of Madrid," Social Sciences, MDPI, vol. 10(4), pages 1-14, March.
    14. Domenico, Giandomenico Di & Sit, Jason & Ishizaka, Alessio & Nunan, Daniel, 2021. "Fake news, social media and marketing: A systematic review," Journal of Business Research, Elsevier, vol. 124(C), pages 329-341.
    15. Nour El Houda Ben Amor & Mohamed Nabil Mzoughi, 2023. "Do Millennials’ Motives for Using Snapchat Influence the Effectiveness of Snap Ads?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    16. Zeng, Jing & Duan, Hongyu & Zhu, Weiwei & Song, Jingyan, 2024. "Understanding residents’ risk information seeking, processing and sharing regarding waste incineration power projects," Energy, Elsevier, vol. 304(C).
    17. Femke Hilverda & Margôt Kuttschreuter, 2018. "Online Information Sharing About Risks: The Case of Organic Food," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1904-1920, September.
    18. Jang-Won Moon & Yuting An, 2022. "Scale Construction and Validation of Uses and Gratifications Motivations for Smartphone Use by Tourists: A Multilevel Approach," Tourism and Hospitality, MDPI, vol. 3(1), pages 1-14, January.
    19. Hamby, Anne & Kim, Hongmin & Spezzano, Francesca, 2024. "Sensational stories: The role of narrative characteristics in distinguishing real and fake news and predicting their spread," Journal of Business Research, Elsevier, vol. 170(C).
    20. Veronika NOVOTNA & Stanislav SKAPA, 2018. "Dynamic Model Of New Product Launch Impact On Stock Market Participants," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(1), pages 396-405, November.

    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:elcore:v:21:y:2021:i:3:d:10.1007_s10660-018-09327-2. 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.