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Understanding the community of blind or visually impaired vloggers on YouTube


We report on a study of understanding how blind or visually impaired (BVI) video bloggers (vloggers) use YouTube. To identify BVI vloggers on YouTube, we used combinations of keywords to find the videos that they uploaded. We then conducted semi-structured interviews with 10 BVI vloggers to understand their experiences on YouTube. We identified salient themes regarding how they interact with videos and other users on YouTube through an open coding approach. Our analysis of the identified themes reveals that BVI vloggers use YouTube as an educational tool. While BVI vloggers share their stories with viewers to educate the public about blindness or visual impairments as vloggers, they learn how other BVI vloggers use accessibility tools in their daily life as viewers. Based on the results of this study, we present design opportunities to better support BVI vloggers on video-based social media platforms. To our knowledge, this is the first interview study for exploring the community of BVI vloggers on YouTube.

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  1. AFB: American foundation for the blind accessible video player, version 1.1 (2015). Accessed 1 Aug 2018

  2. Bennett, C.L., Mott, M.E., Cutrell, E., Morris, M.R., et al.: How teens with visual impairments take, edit, and share photos on social media. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, p. 76. ACM (2018)

  3. Brady, E.L., Zhong, Y., Morris, M.R., Bigham, J.P.: Investigating the appropriateness of social network question asking as a resource for blind users. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, CSCW’13, pp. 1225–1236. ACM, New York, NY, USA (2013).

  4. Brinkley, J., Hoffman, D., Tabrizi, N.: A social networking site portable profile system for blind and visually impaired users based on cloud and semantic web technologies. In: 2017 IEEE International Conference on Cognitive Computing (ICCC), pp. 104–111. IEEE (2017)

  5. Brinkley, J., Tabrizi, N.: A desktop usability evaluation of the facebook mobile interface using the jaws screen reader with blind users. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 61, pp. 828–832. SAGE Publications Sage CA, Los Angeles, CA (2017)

  6. Buzzi, M.C., Buzzi, M., Leporini, B., Akhter, F.: Is facebook really” open” to all? In: 2010 IEEE International Symposium on Technology and Society, pp. 327–336. IEEE (2010)

  7. Della Líbera, B., Jurberg, C.: Teenagers with visual impairment and new media: A world without barriers. Br. J. Vis. Impair. 35(3), 247–256 (2017)

    Article  Google Scholar 

  8. Gröber, P., Köster, J.: An analysis to overcome shortcomings to improve the accessibility for the blind: A case study on facebook’s homepage. In: 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 442–449. IEEE (2016)

  9. Kushalnagar, R.S., Rivera, J.J., Yu, W., Steed, D.S.: Avd-lv: an accessible player for captioned stem videos. In: Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility, pp. 287–288. ACM (2014)

  10. Leahy, D., Ó Broin, U.: Social networking sites and equal opportunity: the impact of accessibility. In: BLED 2009 Proceedings, p. 41 (2009)

  11. Morris, M.R., Zolyomi, A., Yao, C., Bahram, S., Bigham, J.P., Kane, S.K.: “With most of it being pictures now, i rarely use it”: understanding Twitter’s evolving accessibility to blind users. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI ’16, pp. 5506–5516. ACM, New York, NY, USA (2016).

  12. Nobre, C.N., Meireles, M.R., Da Silva, D.B., Faria, A.H., Vieira Jr., N.: Emotionally oriented analysis of the experiences of visually impaired people on facebook. ACM Trans. Access. Comput. (TACCESS) 11(3), 17 (2018)

    Google Scholar 

  13. Pakdeechote, K., Tandayya, P.: A new web interface for the visually impaired to access facebook. In: Proceedings of the 6th International Conference on Rehabilitation Engineering & Assistive Technology, p. 12. Singapore Therapeutic, Assistive & Rehabilitative Technologies (START) Centre (2012)

  14. Patton, M.: Qualitative Research & Evaluation Methods. SAGE Publications (2002).

  15. Ramayah, B., Jaafar, A.: Understanding the impact of web layout and emotional changes towards navigation behaviour among visually impaired users. J. Theor. Appl. Inf. Technol. 76(3), 289–295 (2015)

    Google Scholar 

  16. Seo, W., Jung, H.: Exploring the community of blind or visually impaired people on Youtube. In: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS ’17. ACM, New York, NY, USA (2017).

  17. Seo, W., Jung, H.: Understanding blind or visually impaired people on youtube through qualitative analysis of videos. In: Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video, TVX ’18, pp. 191–196. ACM, New York, NY, USA (2018).

  18. Tandon, N., Sharma, S., Makkad, T.: Multimedia data for the visually impaired. In: Twenty-Ninth AAAI Conference on Artificial Intelligence (2015)

  19. Voykinska, V., Azenkot, S., Wu, S., Leshed, G.: How blind people interact with visual content on social networking services. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, CSCW ’16, pp. 1584–1595. ACM, New York, NY, USA (2016).

  20. Wentz, B., Lazar, J.: Are separate interfaces inherently unequal?: An evaluation with blind users of the usability of two interfaces for a social networking platform. In: Proceedings of the 2011 iConference, pp. 91–97. ACM (2011)

  21. Whitney, G., Kolar, I.: Am I missing something? Experiences of using social media by blind and partially sighted users. Univ. Access. Inf. Soc. (2019).

    Article  Google Scholar 

  22. Wu, S., Adamic, L.A.: Visually impaired users on an online social network. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’14, pp. 3133–3142. ACM, New York, NY, USA (2014).

  23. Wu, S., Wieland, J., Farivar, O., Schiller, J.: Automatic alt-text: computer-generated image descriptions for blind users on a social network service. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 1180–1192. ACM (2017)

  24. Yang, X.H., Yin, F., Liu, C.L.: Online video text detection with markov decision process. In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS), pp. 103–108. IEEE (2018)

  25. Young, K.: Over 4 in 10 watch vlogs (2016). Accessed 1 Aug 2018 from

  26. YouTube: Youtube for press (2017). Accessed 1 Aug 2018

  27. Zhao, Y., Wu, S., Reynolds, L., Azenkot, S.: The effect of computer-generated descriptions on photo-sharing experiences of people with visual impairments. Proc. ACM Hum.-Comput. Interact. 1(CSCW), 121 (2017)

    Article  Google Scholar 

  28. Zhao, Y., Wu, S., Reynolds, L., Azenkot, S.: A face recognition application for people with visual impairments: Understanding use beyond the lab. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, p. 215. ACM (2018)

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We would like to thank our interview participants for sharing their experience, and Seonu Cho for helping with transcribing interview recordings.

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Correspondence to Hyunggu Jung.

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Seo, W., Jung, H. Understanding the community of blind or visually impaired vloggers on YouTube. Univ Access Inf Soc 20, 31–44 (2021).

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  • YouTube
  • Vlogger
  • Blind
  • Visual impairments
  • Qualitative study
  • Accessibility