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Authoring accessible media content on social networks

Published: 22 October 2022 Publication History

Abstract

User-generated content plays a key role in social networking, allowing a more active participation, socialisation, and collaboration among users. In particular, media content has been gaining a lot of ground, allowing users to express themselves through different types of formats such as images, GIFs and videos. The majority of this growing type of online visual content remains inaccessible to a part of the population, in particular for those who have a visual disability, despite available tools to mitigate this source of exclusion. We sought to understand how people are perceiving this type of online content in their networks and how support tools are being used. To do so, we conducted a user study, with 258 social network users through an online questionnaire, followed by interviews with 20 of them – 7 blind users and 13 sighted users. Results show how the different approaches being employed by major platforms may not be sufficient to address this issue properly. Our findings reveal that users are not always aware of the possibility and the benefits of adopting accessible practices. From the general perspectives of end-users experiencing accessible practices, concerning barriers encountered, and motivational factors, we also discuss further approaches to create more user engagement and awareness.

References

[1]
Cynthia L. Bennett, Jane E, Martez E. Mott, Edward Cutrell, and Meredith Ringel Morris. 2018. 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 - CHI ’18, Vol. 2018-April. ACM Press, New York, New York, USA, 1–12. https://doi.org/10.1145/3173574.3173650
[2]
Larwan Berke, Matthew Seita, and Matt Huenerfauth. 2020. Deaf and hard-of-hearing users’ prioritization of genres of online video content requiring accurate captions. In Proceedings of the 17th International Web for All Conference, W4A 2020. https://doi.org/10.1145/3371300.3383337
[3]
Erin Brady, Yu Zhong, Meredith Ringel Morris, and Jeffrey P. Bigham. 2013. Investigating the appropriateness of social network question asking as a resource for blind users. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW (2013), 1225–1236. https://doi.org/10.1145/2441776.2441915
[4]
Julian Brinkley and Nasseh Tabrizi. 2017. A Desktop Usability Evaluation of the Facebook Mobile Interface using the JAWS Screen Reader with Blind Users. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, 1 (sep 2017), 828–832. https://doi.org/10.1177/1541931213601699
[5]
Maria Claudia Buzzi, Marina Buzzi, and Barbara Leporini. 2011. Web 2.0: Twitter and the blind. In Proceedings of the 9th ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction: Facing Complexity. 151–156.
[6]
Maria Claudia Buzzi, Marina Buzzi, Barbara Leporini, and Fahim Akhter. 2010. Is Facebook really” open” to all?. In 2010 IEEE International Symposium on Technology and Society. IEEE, 327–336.
[7]
João Marcelo dos Santos Marques, Luiz Fernando Gopi Valente, Simone Bacellar Leal Ferreira, Claudia Cappelli, and Luciana Salgado. 2017. Audio Description on Instagram: Evaluating and Comparing Two Ways of Describing Images for Visually Impaired. In Proceedings of the 19th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 29–40. https://doi.org/10.5220/0006282500290040
[8]
Carlos Duarte, Carlos M. Duarte, and Luís Carriço. 2019. Combining Semantic Tools for Automatic Evaluation of Alternative Texts. In Proceedings of the 16th Web For All 2019 Personalization - Personalizing the Web. ACM, New York, NY, USA, 1–4. https://doi.org/10.1145/3315002.3317558
[9]
Facebook. 2020. How do I edit the alternative text for a photo on Facebook?https://www.facebook.com/help/214124458607871
[10]
Facebook. 2021. Facebook Reports Third Quarter 2021 Results. https://investor.fb.com/investor-news/press-release-details/2021/Facebook-Reports-Third-Quarter-2021-Results/default.aspx
[11]
Cole Gleason, Patrick Carrington, Cameron Cassidy, Meredith Ringel Morris, Kris M Kitani, and Jeffrey P Bigham. 2019. “It’s almost like they’re trying to hide it”: How User-Provided Image Descriptions Have Failed to Make Twitter Accessible. In The World Wide Web Conference on - WWW ’19. ACM Press, New York, New York, USA, 549–559. https://doi.org/10.1145/3308558.3313605
[12]
Cole Gleason, Patrick Carrington, Lydia B. Chilton, Benjamin Gorman, Hernisa Kacorri, Andrés Monroy-Hernández, Meredith Ringel Morris, Garreth Tigwell, and Shaomei Wu. 2020. Future research directions for accessible social media. ACM SIGACCESS Accessibility and Computing127 (jul 2020), 1–12. https://doi.org/10.1145/3412836.3412839
[13]
Cole Gleason, Amy Pavel, Himalini Gururaj, Kris Kitani, and Jeffrey Bigham. 2020. Making GIFs Accessible. In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility. ACM, New York, NY, USA, 1–10. https://doi.org/10.1145/3373625.3417027
[14]
Cole Gleason, Amy Pavel, Xingyu Liu, Patrick Carrington, Lydia B. Chilton, and Jeffrey P. Bigham. 2019. Making memes accessible. ASSETS 2019 - 21st International ACM SIGACCESS Conference on Computers and Accessibility (2019), 367–376. https://doi.org/10.1145/3308561.3353792
[15]
Darren Guinness, Edward Cutrell, and Meredith Ringel Morris. 2018. Caption Crawler: Enabling Reusable Alternative Text Descriptions Using Reverse Image Search. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3173574.3174092
[16]
Darren Guinness, Edward Cutrell, and Meredith Ringel Morris. 2018. Caption Crawler: Enabling Reusable Alternative Text Descriptions using Reverse Image Search. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI ’18, Vol. 2018-April. ACM Press, New York, New York, USA, 1–11. https://doi.org/10.1145/3173574.3174092
[17]
Danna Gurari, Yinan Zhao, Meng Zhang, and Nilavra Bhattacharya. 2020. Captioning Images Taken by People Who Are Blind. In Computer Vision – ECCV 2020, Andrea Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm (Eds.). Springer International Publishing, Cham, 417–434. https://doi.org/10.1007/978-3-030-58520-4_25
[18]
Bronwyn Hemsley, Stephen Dann, Stuart Palmer, Meredith Allan, and Susan Balandin. 2015. ”We definitely need an audience”: Experiences of Twitter, Twitter networks and tweet content in adults with severe communication disabilities who use augmentative and alternative communication (AAC). Disability and Rehabilitation 37, 17 (2015), 1531–1542. https://doi.org/10.3109/09638288.2015.1045990
[19]
Amanda Hynan, Juliet Goldbart, and Janice Murray. 2015. A grounded theory of Internet and social media use by young people who use augmentative and alternative communication (AAC). Disability and Rehabilitation 37, 17 (2015), 1559–1575. https://doi.org/10.3109/09638288.2015.1056387
[20]
Lawrence H Kim, Abena Boadi-Agyemang, Alexa Fay Siu, and John Tang. 2020. When to Add Human Narration to Photo-Sharing Social Media. In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility. ACM, New York, NY, USA, 1–3. https://doi.org/10.1145/3373625.3418013
[21]
Christina Low, Emma McCamey, Cole Gleason, Patrick Carrington, Jeffrey P. Bigham, and Amy Pavel. 2019. Twitter A11y: A Browser Extension to Describe Images. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility - ASSETS ’19. ACM Press, New York, New York, USA, 551–553. https://doi.org/10.1145/3308561.3354629
[22]
Kelly Mack, Edward Cutrell, Bongshin Lee, and Meredith Ringel Morris. 2021. Designing Tools for High-Quality Alt Text Authoring. The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 1–14. https://doi.org/10.1145/3441852.3471207
[23]
Haley MacLeod, Cynthia L. Bennett, Meredith Ringel Morris, and Edward Cutrell. 2017. Understanding blind people’s experiences with computer-generated captions of social media images. Conference on Human Factors in Computing Systems - Proceedings 2017-May (2017), 5988–5999. https://doi.org/10.1145/3025453.3025814
[24]
Reeti Mathur and Erin Brady. 2018. Mixed-Ability Collaboration for Accessible Photo Sharing. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility - ASSETS ’18. ACM Press, New York, New York, USA, 370–372. https://doi.org/10.1145/3234695.3240994
[25]
Nora McDonald, Sarita Schoenebeck, and Andrea Forte. 2019. Reliability and inter-rater reliability in qualitative research: Norms and guidelines for CSCW and HCI practice. Proceedings of the ACM on Human-Computer Interaction 3 (2019). Issue CSCW. https://doi.org/10.1145/3359174
[26]
Valerie S. Morash, Yue-Ting Siu, Joshua A. Miele, Lucia Hasty, and Steven Landau. 2015. Guiding Novice Web Workers in Making Image Descriptions Using Templates. ACM Trans. Access. Comput. 7, 4, Article 12 (nov 2015), 21 pages. https://doi.org/10.1145/2764916
[27]
Meredith Ringel Morris, Jazette Johnson, Cynthia L. Bennett, and Edward Cutrell. 2018. Rich representations of visual content for Screen reader users. Conference on Human Factors in Computing Systems - Proceedings 2018-April (2018), 1–11. https://doi.org/10.1145/3173574.3173633
[28]
Meredith Ringel Morris, Annuska Zolyomi, Catherine Yao, Sina Bahram, Jeffrey P. Bigham, and Shaun K. Kane. 2016. ”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. ACM, New York, NY, USA, 5506–5516. https://doi.org/10.1145/2858036.2858116
[29]
Helen Petrie, Chandra Harrison, and Sundeep Dev. 2005. Describing images on the web: a survey of current practice and prospects for the future. In Proceedings of Human Computer Interaction International (HCII), Vol. 71.
[30]
Carolina Sacramento, Leonardo Nardi, Simone Bacellar Leal Ferreira, and João Marcelo dos Santos Marques. 2020. #PraCegoVer: Investigating the description of visual content in Brazilian online social media Carolina. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems. ACM, New York, NY, USA, 1–10. https://doi.org/10.1145/3424953.3426489
[31]
Elliot Salisbury, Ece Kamar, and Meredith Ringel Morris. 2017. Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind. Aaai Hcomp 17Hcomp(2017), 147–156.
[32]
Abigale Stangl, Meredith Ringel Morris, and Danna Gurari. 2020. ”Person, Shoes, Tree. Is the Person Naked?” What People with Vision Impairments Want in Image Descriptions. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376404
[33]
The New York Times. 2020. The Coronavirus Revives Facebook as News Powerhouse. https://www.nytimes.com/2020/03/23/technology/coronavirus-facebook-news.html Accessed: 2020-08-12.
[34]
Twitter. 2016. Accessible images for everyone. https://blog.twitter.com/en_us/a/2016/accessible-images-for-everyone.html
[35]
Twitter. 2020. Twitter Accessibility. https://twitter.com/TwitterA11y/status/1265689579371323392
[36]
Violeta Voykinska, Shiri Azenkot, Shaomei Wu, and Gilly Leshed. 2016. 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, Vol. 1. ACM Press, New York, New York, USA, 1582–1593. https://doi.org/10.1145/2818048.2820013
[37]
WebAIM. 2017. Screen Reader User Survey. https://webaim.org/projects/screenreadersurvey7/
[38]
Gill Whitney and Irena Kolar. 2020. Am I missing something?Universal Access in the Information Society 19, 2 (jun 2020), 461–469. https://doi.org/10.1007/s10209-019-00648-z
[39]
Shaomei Wu and Lada A. Adamic. 2014. Visually impaired users on an online social network. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI ’14. ACM Press, New York, New York, USA, 3133–3142. https://doi.org/10.1145/2556288.2557415
[40]
Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, and Shiri Azenkot. 2017. The effect of computer-generated descriptions on photo-sharing experiences of people with visual impairments. Proceedings of the ACM on Human-Computer Interaction 1, CSCW(2017), 1–22. https://doi.org/10.1145/3134756

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  • (2024)IMAGE: An Open-Source, Extensible Framework for Deploying Accessible Audio and Haptic Renderings of Web GraphicsACM Transactions on Accessible Computing10.1145/366522317:2(1-17)Online publication date: 23-May-2024
  • (2024)From Automation to User Empowerment: Investigating the Role of a Semi-automatic Tool in Social Media AccessibilityACM Transactions on Accessible Computing10.1145/364764317:3(1-25)Online publication date: 27-Sep-2024
  • (2023)How the Alt Text Gets Made: What Roles and Processes of Alt Text Creation Can Teach Us About Inclusive ImageryACM Transactions on Accessible Computing10.1145/358746916:2(1-28)Online publication date: 13-Jul-2023
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cover image ACM Conferences
ASSETS '22: Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility
October 2022
902 pages
ISBN:9781450392587
DOI:10.1145/3517428
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 22 October 2022

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Author Tags

  1. accessibility
  2. social media
  3. user-generated content
  4. visual content

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ASSETS '22 Paper Acceptance Rate 35 of 132 submissions, 27%;
Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

View all
  • (2024)IMAGE: An Open-Source, Extensible Framework for Deploying Accessible Audio and Haptic Renderings of Web GraphicsACM Transactions on Accessible Computing10.1145/366522317:2(1-17)Online publication date: 23-May-2024
  • (2024)From Automation to User Empowerment: Investigating the Role of a Semi-automatic Tool in Social Media AccessibilityACM Transactions on Accessible Computing10.1145/364764317:3(1-25)Online publication date: 27-Sep-2024
  • (2023)How the Alt Text Gets Made: What Roles and Processes of Alt Text Creation Can Teach Us About Inclusive ImageryACM Transactions on Accessible Computing10.1145/358746916:2(1-28)Online publication date: 13-Jul-2023
  • (2023)Harnessing Web Accessibility Tools for WCAG 2.1 Migration of a Design System2023 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA)10.1109/CoNTESA61248.2023.10384953(54-60)Online publication date: 14-Dec-2023

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