Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
167 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
42 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Modeling Health Video Consumption Behaviors on Social Media: Activities, Challenges, and Characteristics (2311.09040v2)

Published 15 Nov 2023 in cs.HC

Abstract: Many people now watch health videos, such as diet, exercise, mental health, COVID-19, and chronic disease videos, on social media. Most existing studies focused on video creators, leaving the motivations and practices of viewers underexplored. We interviewed 18 participants, surveyed 121 respondents, and derived a model characterizing consumers' video consumption practices on social media. The practices include five main activities: deciding to watch videos driven by various motivations, accessing videos on social media through a socio-technical ecosystem, watching videos to meet informational, emotional, and entertainment needs, evaluating the credibility and interestingness of videos, and using videos to achieve health goals. Through an iterative video consumption process, individuals strategically navigate across multiple platforms, seeking better accessibility, higher reliability, and cultivating a stronger motivation. They actively look for longer and more in-depth videos. We further identified challenges consumers face while consuming health videos on social media and discussed design implications and directions for future research.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (85)
  1. Using machine learning for automatic identification of evidence-based health information on the web. In Proceedings of the 2017 International Conference on Digital Health. 167–174.
  2. Why do people watch others eat food? An Empirical Study on the Motivations and Practices of Mukbang Viewers. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376567
  3. Tal August and Katharina Reinecke. 2019. Pay Attention, Please: Formal Language Improves Attention in Volunteer and Paid Online Experiments. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3290605.3300478
  4. Ava Bartolome and Shuo Niu. 2023. A Literature Review of Video-Sharing Platform Research in HCI. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–20.
  5. Marcia J Bates. 1989. The design of browsing and berrypicking techniques for the online search interface. Online review (1989).
  6. Frank Bentley and Danielle Lottridge. 2019. Understanding mass-market mobile TV behaviors in the streaming era. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–11.
  7. Exploring online video watching behaviors. In Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video. 108–117.
  8. Hugh Beyer and Karen Holtzblatt. 1999. Contextual design. interactions 6, 1 (1999), 32–42.
  9. Predictors of “liking” three types of health and fitness-related content on social media: a cross-sectional study. Journal of medical Internet research 17, 8 (2015), e205.
  10. Kathy Charmaz. 2000. Grounded theory: Objectivist and constructivist methods. Handbook of qualitative research 2, 1 (2000), 509–535.
  11. Integrating statistical and visual analytic methods for bot identification of health-related survey data. Journal of Biomedical Informatics 144 (2023), 104439.
  12. “It’s Just Addictive People That Make Addictive Videos”: Children’s Understanding of and Attitudes towards Influencer Marketing of Food and Beverages by YouTube Video Bloggers. International Journal of Environmental Research and Public Health 17, 2 (Jan. 2020), 449. https://doi.org/10.3390/ijerph17020449
  13. Juliet Corbin and Anselm Strauss. 2014. Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.
  14. Neil S. Coulson. 2005. Receiving social support online: an analysis of a computer-mediated support group for individuals living with irritable bowel syndrome. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society 8, 6 (Dec. 2005), 580–584. https://doi.org/10.1089/cpb.2005.8.580
  15. Richard L Daft and Robert H Lengel. 1986. Organizational information requirements, media richness and structural design. Management science 32, 5 (1986), 554–571.
  16. Seeking and sharing health information online: comparing search engines and social media. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, Toronto Ontario Canada, 1365–1376. https://doi.org/10.1145/2556288.2557214
  17. ’Too Gay for Facebook’: Presenting LGBTQ+ Identity Throughout the Personal Social Media Ecosystem. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (Nov. 2018), 44:1–44:23. https://doi.org/10.1145/3274313
  18. digital 2021. 2021. Digital 2021: Global Overview Report. https://datareportal.com/reports/digital-2021-global-overview-report
  19. John C. Flanagan. 1954. The critical incident technique. Psychological Bulletin 51, 4 (1954), 327–358. https://doi.org/10.1037/h0061470 Place: US Publisher: American Psychological Association.
  20. Sharing the Studio: How Creative Livestreaming can Inspire, Educate, and Engage. In Proceedings of the 2019 on Creativity and Cognition. ACM, San Diego CA USA, 144–155. https://doi.org/10.1145/3325480.3325485
  21. Identifying measures used for assessing quality of YouTube videos with patient health information: a review of current literature. Interactive journal of medical research 2, 1 (2013), e2465.
  22. Designing Credibility Tools To Combat Mis/Disinformation: A Human-Centered Approach. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–4.
  23. Young people and their engagement with health-related social media: new perspectives. Sport, Education and Society 24, 7 (Sept. 2019), 673–688. https://doi.org/10.1080/13573322.2017.1423464 Publisher: Routledge _eprint: https://doi.org/10.1080/13573322.2017.1423464.
  24. EatWell: sharing nutrition-related memories in a low-income community. In Proceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW ’08. ACM Press, San Diego, CA, USA, 87. https://doi.org/10.1145/1460563.1460579
  25. Oliver L. Haimson and John C. Tang. 2017. What Makes Live Events Engaging on Facebook Live, Periscope, and Snapchat. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 48–60. https://doi.org/10.1145/3025453.3025642
  26. J. Harris. 2019. A mixed methods study examining the role of professional YouTubers in young people’s health behaviours in the UK: implications for health interventions. doctoral. Liverpool John Moores University. https://doi.org/10.24377/LJMU.t.00010938
  27. Young People’s Experiences and Perceptions of YouTuber-Produced Health Content: Implications for Health Promotion. Health Education & Behavior 48, 2 (April 2021), 199–207. https://doi.org/10.1177/1090198120974964 Publisher: SAGE Publications Inc.
  28. Evaluating health interest profiles extracted from patient-generated data. AMIA Annual Symposium Proceedings 2014 (Nov. 2014), 626–635. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419913/
  29. YouTube videos as health decision aids for the public: An integrative review. Canadian Journal of Dental Hygiene 53, 1 (2019), 53.
  30. Seeking Love and Companionship through Streaming: Unpacking Livestreamer-moderated Senior Matchmaking in China. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–18.
  31. Donald Horton and R. Richard Wohl. 1956. Mass Communication and Para-Social Interaction: Observations on Intimacy at a Distance. Psychiatry 19, 3 (Aug. 1956), 215–229. https://doi.org/10.1080/00332747.1956.11023049
  32. Jina Huh and Mark S Ackerman. 2012. Collaborative help in chronic disease management: supporting individualized problems. (2012), 10.
  33. Health Vlogs as Social Support for Chronic Illness Management. ACM Transactions on Computer-Human Interaction 21, 4 (Aug. 2014), 23:1–23:31. https://doi.org/10.1145/2630067
  34. Virtual Group Exercises and Psychological Status among Community-Dwelling Older Adults during the COVID-19 Pandemic—A Feasibility Study. Geriatrics 6, 1 (March 2021), 31. https://doi.org/10.3390/geriatrics6010031 Number: 1 Publisher: Multidisciplinary Digital Publishing Institute.
  35. Julie Jargon. 2021. TikTok Diagnosis Videos Leave Some Teens Thinking They Have Rare Mental Disorders. Wall Street Journal (Dec. 2021). https://www.wsj.com/articles/tiktok-diagnosis-videos-leave-some-teens-thinking-they-have-rare-mental-disorders-11640514602
  36. Can social media be beneficial for eating disorders? European Psychiatry 64, 1 (2021), S703–S703. https://doi.org/10.1192/j.eurpsy.2021.1861 Num Pages: S703-S703 Place: Paris, United Kingdom Publisher: Cambridge University Press.
  37. Andreas M. Kaplan and Michael Haenlein. 2010. Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons 53, 1 (Jan. 2010), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
  38. Uses and gratifications research. The public opinion quarterly 37, 4 (1973), 509–523.
  39. Crowdsourcing user studies with Mechanical Turk. In Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI ’08. ACM Press, Florence, Italy, 453. https://doi.org/10.1145/1357054.1357127
  40. TikTok as a health information source: assessment of the quality of information in diabetes-related videos. Journal of Medical Internet Research 23, 9 (2021), e30409.
  41. YouTube as a source of information for arteriovenous malformations: A content‐quality and optimization analysis. Clinical Neurology and Neurosurgery 207 (Aug. 2021), 106723. https://doi.org/10.1016/j.clineuro.2021.106723
  42. Sylvie D Lambert and Carmen G Loiselle. 2007. Health information—seeking behavior. Qualitative health research 17, 8 (2007), 1006–1019.
  43. Personalizing Ambience and Illusionary Presence: How People Use “Study with me” Videos to Create Effective Studying Environments. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1–13. https://doi.org/10.1145/3411764.3445222
  44. Expanding Video Game Live-Streams with Enhanced Communication Channels: A Case Study. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). Association for Computing Machinery, New York, NY, USA, 1571–1576. https://doi.org/10.1145/3025453.3025708
  45. A Qualitative Analysis of Adolescent Responses to YouTube Videos Portraying Sexual and Gender Minority Experiences: Belonging, Community, and Information Seeking. Frontiers in Human Dynamics 2 (2020), 11. https://doi.org/10.3389/fhumd.2020.598886
  46. Communicating COVID-19 information on TikTok: a content analysis of TikTok videos from official accounts featured in the COVID-19 information hub. Health Education Research (March 2021), cyab010. https://doi.org/10.1093/her/cyab010
  47. Linguistic features and consumer credibility judgment of online health information. University of Illinois (2021).
  48. Consumer Health Information Quality, Credibility, and Trust: An Analysis of Definitions, Measures, and Conceptual Dimensions. In Proceedings of the 2023 Conference on Human Information Interaction and Retrieval. 197–210.
  49. Health vlogger-viewer interaction in chronic illness management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 49–58. https://doi.org/10.1145/2470654.2470663
  50. ”I feel it is my responsibility to stream”: Streaming and Engaging with Intangible Cultural Heritage through Livestreaming. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3290605.3300459
  51. A Preliminary Exploration of YouTubers’ Use of Generative-AI in Content Creation. arXiv preprint arXiv:2403.06039 (2024).
  52. Collective Sensemaking in Online Health Forums. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, Seoul Republic of Korea, 3217–3226. https://doi.org/10.1145/2702123.2702566
  53. Richard E. Mayer. 2002. Multimedia learning. In Psychology of Learning and Motivation. Vol. 41. Academic Press, 85–139. https://doi.org/10.1016/S0079-7421(02)80005-6
  54. T. J. McCue. 2020. The State Of Online Video For 2020. https://www.forbes.com/sites/tjmccue/2020/02/05/looking-deep-into-the-state-of-online-video-for-2020/ Section: Consumer Tech.
  55. #StayHome #WithMe: How Do YouTubers Help with COVID-19 Loneliness?. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1–15. https://doi.org/10.1145/3411764.3445397
  56. Building Credibility, Trust, and Safety on Video-Sharing Platforms. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1–7.
  57. Andrew Noyes*. 2004. Video diary: a method for exploring learning dispositions. Cambridge journal of education 34, 2 (2004), 193–209.
  58. Video and learning: a systematic review (2007–2017). In Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK ’18). Association for Computing Machinery, New York, NY, USA, 151–160. https://doi.org/10.1145/3170358.3170376
  59. LGBTQ Persons’ Pregnancy Loss Disclosures to Known Ties on Social Media: Disclosure Decisions and Ideal Disclosure Environments. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Association for Computing Machinery, New York, NY, USA, 1–17. https://doi.org/10.1145/3411764.3445331
  60. ” I Can Watch What I Want” A Diary Study of On-Demand and Cross-Device Viewing. In Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video. 69–80.
  61. Thomas E Ruggiero. 2000. Uses and gratifications theory in the 21st century. Mass communication & society 3, 1 (2000), 3–37.
  62. Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics, consumer readiness, and health consciousness. Journal of Retailing and Consumer Services 52 (Jan. 2020), 101733. https://doi.org/10.1016/j.jretconser.2019.01.002
  63. Reijo Savolainen. 2006. Time as a context of information seeking. Library & information science research 28, 1 (2006), 110–127.
  64. Snack Buddy: Supporting Healthy Snacking in Low Socioeconomic Status Families. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW ’15). Association for Computing Machinery, New York, NY, USA, 1045–1057. https://doi.org/10.1145/2675133.2675180
  65. Hawal Shamon and Carl Berning. 2019. Attention check items and instructions in online surveys with incentivized and non-incentivized samples: Boon or bane for data quality? Shamon, H., & Berning, CC (2020). Attention Check Items and Instructions in Online Surveys with Incentivized and Non-Incentivized Samples: Boon or Bane for Data Quality (2019), 55–77.
  66. Jack Shepherd. 2023. 30 Vital Video Marketing Statistics You Need to Know in 2023. https://thesocialshepherd.com/blog/video-marketing-statistics
  67. Max Sjöblom and Juho Hamari. 2017. Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior 75 (Oct. 2017), 985–996. https://doi.org/10.1016/j.chb.2016.10.019
  68. Interventions to support consumer evaluation of online health information credibility: A scoping review. International Journal of Medical Informatics 145 (Jan. 2021), 104321. https://doi.org/10.1016/j.ijmedinf.2020.104321
  69. Serious information in hedonic social applications: affordances, self-determination and health information adoption in TikTok. Journal of Documentation 78, 4 (2022), 890–911.
  70. Clare Southerton. 2021. Research perspectives on TikTok & its legacy apps— Lip-syncing and saving lives: Healthcare workers on TikTok. International Journal of Communication 15 (2021), 21.
  71. The Wall street journal. 2022. Meta’s Facebook Escalates TikTok Rivalry, Launches Reels Globally. https://www.wsj.com/articles/metas-facebook-escalates-tiktok-rivalry-launches-reels-globally-11645549200?mod=article_inline
  72. Yalin Sun. 2022. Losing the tug of war: a grounded theory study of the development of social media addiction. Ph. D. Dissertation.
  73. Consumer evaluation of the quality of online health information: systematic literature review of relevant criteria and indicators. Journal of medical Internet research 21, 5 (2019), e12522.
  74. Meerkat and Periscope: I Stream, You Stream, Apps Stream for Live Streams. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16). Association for Computing Machinery, New York, NY, USA, 4770–4780. https://doi.org/10.1145/2858036.2858374
  75. Aslı Tolunay and Hüseyin Ekizler. 2021. Analyzing online shopping behavior from the perspective of YouTube: Do Vlog content and Vlogger characteristics matter. OPUS International Journal of Society Researches 18, 41 (2021), 3041–3065.
  76. Jane Topolovec-Vranic and Karthik Natarajan. 2016. The use of social media in recruitment for medical research studies: a scoping review. Journal of medical Internet research 18, 11 (2016), e286.
  77. Nitin Verma. 2022. Artifice in the Artifact: Deepfakes and the Future of Trust in Visual Media. (2022).
  78. Jonathan Villa. 2021. 10 social video platforms ramping up for 2021. https://www.wibbitz.com/blog/social-video-platforms/
  79. “It’s a Kind of Art!”: Understanding Food Influencers as Influential Content Creators. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1–14. https://doi.org/10.1145/3411764.3445607
  80. Explaining Viewers’ Emotional, Instrumental, and Financial Support Provision for Live Streamers. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, Montreal QC Canada, 1–13. https://doi.org/10.1145/3173574.3174048
  81. Instagram and prostate cancer: using validated instruments to assess the quality of information on social media. Prostate Cancer and Prostatic Diseases (2021), 1–3.
  82. Facebook as a platform for health information and communication: a case study of a diabetes group. Journal of medical systems 37 (2013), 1–12.
  83. The design and evaluation of a nudge-based interface to facilitate consumers’ evaluation of online health information credibility. Journal of the Association for Information Science and Technology (2023).
  84. The Social Media Ecology: User Perceptions, Strategies and Challenges. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, San Jose California USA, 89–100. https://doi.org/10.1145/2858036.2858333
  85. Quality of YouTube Videos on Meningioma Treatment Using the DISCERN Instrument. World Neurosurgery 153 (Sept. 2021), e179–e186. https://doi.org/10.1016/j.wneu.2021.06.072
Citations (2)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets