Skip to main content

Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development

  • Conference paper
  • First Online:
Social, Cultural, and Behavioral Modeling (SBP-BRiMS 2021)

Abstract

We investigate the link sharing behavior of Twitter users following the temporary halt of AstraZeneca COVID-19 vaccine development in September 2020. During this period, we show the presence of malicious and low credibility information sources shared on Twitter messages in multiple languages. The malicious URLs, often in shortened forms, are increasingly hosted in content delivery networks and shared cloud hosting infrastructures not only to improve reach but also to avoid being detected and blocked. There are potential signs of coordination to promote both malicious and low credibility URLs on Twitter. Our findings suggest the need to develop a system that monitors the low-quality URLs shared in times of crisis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://www.zerohedge.com/markets/ft-confirms-astrazeneca-covid-19-vaccine-caused-serious-spinal-issues-test-patient.

References

  1. Nasn 2021: Grand challenge. https://www.insna.org/nasn-2021-grand-challenge

  2. Spanish-language vaccine news stories hosting malware disseminated via url shorteners. https://fas.org/disinfoblog/spanish-language-vaccine-news-stories-hosting-malware-disseminated-via-url-shorteners/

  3. Alexa Top 1M (2019). https://www.alexa.com/topsites. Accessed 1 Dec 2019

  4. Media bias/fact check - search and learn the bias of news media (2020). https://mediabiasfactcheck.com/

  5. Us won’t rely on UK for Covid vaccine safety tests, says Nancy Pelosi (2020). https://www.theguardian.com/society/2020/oct/09/us-wont-rely-on-uk-for-covid-vaccine-safety-tests-says-nancy-pelosi

  6. Coronavirus misinformation tracking center (2021). https://www.newsguardtech.com/coronavirus-misinformation-tracking-center/

  7. Covid-19 vaccine astrazeneca roller-coaster ride (2021). https://www.reuters.com/business/healthcare-pharmaceuticals/covid-19-vaccine-astrazeneca-roller-coaster-ride-2021-03-24/

  8. Bagherpour, A.: Covid misinformation is killing people (2020). https://www.scientificamerican.com/article/covid-misinformation-is-killing-people1/

  9. Cyranoski, D., Mallapaty, S.: Scientists relieved as coronavirus vaccine trial restarts-but question lack of transparency. Nature 585(7825), 331–332 (2020)

    Article  Google Scholar 

  10. Farsight Security: DNS Database. https://www.dnsdb.info/. Accessed: 10 Jan 2021

  11. Ferrara, E., Cresci, S., Luceri, L.: Misinformation, manipulation, and abuse on social media in the era of Covid-19. J. Comput. Soc. Sci. 3(2), 271–277 (2020)

    Article  Google Scholar 

  12. Horawalavithana, S., Ng, K.W., Iamnitchi, A.: Twitter is the megaphone of cross-platform messaging on the white helmets. In: Thomson, R., Bisgin, H., Dancy, C., Hyder, A., Hussain, M. (eds.) SBP-BRiMS 2020. LNCS, vol. 12268, pp. 235–244. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-61255-9_23

    Chapter  Google Scholar 

  13. Latapy, M., Magnien, C., Del Vecchio, N.: Basic notions for the analysis of large two-mode networks. Soc. Networks 30(1), 31–48 (2008)

    Article  Google Scholar 

  14. Lui, M., Baldwin, T.: langid.py: an off-the-shelf language identification tool. In: Proceedings of the ACL 2012 System Demonstrations, pp. 25–30 (2012)

    Google Scholar 

  15. Newman, M.E.: The structure and function of complex networks. SIAM Rev. 45(2), 167–256 (2003)

    Article  MathSciNet  Google Scholar 

  16. Pacheco, D., Hui, P.M., Torres-Lugo, C., Truong, B.T., Flammini, A., Menczer, F.: Uncovering coordinated networks on social media. arXiv:2001.05658 (2020)

  17. PNNL, P.N.N.L: Socialsim (2018). https://github.com/pnnl/socialsim

  18. Robbins, R., Feuerstein, A., Branswell, H.: Astrazeneca Covid-19 vaccine study is put on hold (2020). https://www.statnews.com/2020/09/08/astrazeneca-covid-19-vaccine-study-put-on-hold-due-to-suspected-adverse-reaction-in-participant-in-the-u-k/

  19. Silva, R.D., Nabeel, M., Elvitigala, C., Khalil, I., Yu, T., Keppitiyagama, C.: Compromised or attacker-owned: a large scale classification and study of hosting domains of malicious urls. In: 30th USENIX Security Symposium (USENIX Security 21). USENIX Association (2021). https://www.usenix.org/conference/usenixsecurity21/presentation/desilva

  20. Singh, L., Bode, L., Budak, C., Kawintiranon, K., Padden, C., Vraga, E.: Understanding high-and low-quality URL sharing on Covid-19 twitter streams. J. Comput. Soc. Sci. 3(2), 343–366 (2020)

    Article  Google Scholar 

  21. Smith, R., Cubbon, S., Wardle, C.: Under the surface: Covid-19 vaccine narratives, misinformation and data deficits on social media (2020). https://firstdraftnews.org/long-form-article/under-the-surface-covid-19-vaccine-narratives-misinformation-and-data-deficits-on-social-media/

  22. VirusTotal, Subsidiary of Google: VirusTotal - Free Online Virus, Malware and URL Scanner. https://www.virustotal.com/. Accessed 14 Jan 2021

Download references

Acknowledgements

This work is partially supported by the DARPA SocialSim Program and the Air Force Research Laboratory under contract FA8650-18-C-7825. The authors would like to thank Grand Challenge, North American Social Network Conference for providing data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sameera Horawalavithana .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Horawalavithana, S., De Silva, R., Nabeel, M., Elvitigala, C., Wijesekara, P., Iamnitchi, A. (2021). Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development. In: Thomson, R., Hussain, M.N., Dancy, C., Pyke, A. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2021. Lecture Notes in Computer Science(), vol 12720. Springer, Cham. https://doi.org/10.1007/978-3-030-80387-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-80387-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80386-5

  • Online ISBN: 978-3-030-80387-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics