skip to main content
10.1145/3528575.3551448acmconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
extended-abstract

A Review of Smartphone Fact-Checking Apps and their (Non) Use Among Older Adults

Published:28 September 2022Publication History

ABSTRACT

Falsehoods continue to spread faster than facts in today’s age of continuous, digital connections. Recent studies show older adults engage more frequently with misinformation than younger users. Given the reported uptake of mobile technologies among older adults (61% of US adults over 65 owned a smartphone in 2021), much of these engagements may occur via smartphones or tablets. What types of fact-checkers are currently available on smartphones? How do older adults fact-check information they encounter in their daily lives? In this paper, we explore these questions with a systematic app review and a semi-structured interview with older adults. Among the 8372 unique smartphone fact-checking apps identified, 45 apps were qualitatively and systematically reviewed. Five distinct user interface (UI) elements emerged: news feed, article view, fact-checking widget, learning tool, and search view. An interactive fact-checking option was found in 73% of the apps. None of our older interviewees reported using a smartphone fact-checking app but described other fact-checking behaviors, such as asking friends or acquaintances with domain expertise or searching on Google.

References

  1. Robert A Altemeyer and Bob Altemeyer. 1996. The authoritarian specter. Harvard University Press.Google ScholarGoogle Scholar
  2. Michelle A Amazeen, Chris J Vargo, and Toby Hopp. 2019. Reinforcing attitudes in a gatewatching news era: Individual-level antecedents to sharing fact-checks on social media. Communication Monographs 86, 1 (2019), 112–132.Google ScholarGoogle ScholarCross RefCross Ref
  3. GO Anderson. 2017. Technology use and attitudes among mid-life and older Americans. AARP Research. tinyurl. com/yxwe4ow7. Retrieved April (2017).Google ScholarGoogle Scholar
  4. Zach Bastick. 2021. Would you notice if fake news changed your behavior? An experiment on the unconscious effects of disinformation. Computers in human behavior 116 (2021), 106633.Google ScholarGoogle Scholar
  5. Amanda Baughan, Mingrui Ray Zhang, Raveena Rao, Kai Lukoff, Anastasia Schaadhardt, Lisa D Butler, and Alexis Hiniker. 2022. “I Don’t Even Remember What I Read”: How Design Influences Dissociation on Social Media. In CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarGoogle Scholar
  6. Anabela Berenguer, Jorge Goncalves, Simo Hosio, Denzil Ferreira, Theodoros Anagnostopoulos, and Vassilis Kostakos. 2016. Are Smartphones Ubiquitous?: An in-depth survey of smartphone adoption by seniors. IEEE Consumer Electronics Magazine 6, 1 (2016), 104–110.Google ScholarGoogle ScholarCross RefCross Ref
  7. Nadia M Brashier and Daniel L Schacter. 2020. Aging in an era of fake news. Current directions in psychological science 29, 3 (2020), 316–323.Google ScholarGoogle Scholar
  8. Michael V Bronstein, Gordon Pennycook, Adam Bear, David G Rand, and Tyrone D Cannon. 2019. Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking. Journal of applied research in memory and cognition 8, 1 (2019), 108–117.Google ScholarGoogle ScholarCross RefCross Ref
  9. US Census Bureau. 2022. Older People Projected to Outnumber Children. https://www.census.gov/newsroom/press-releases/2018/cb18-41-population-projections.html#:~:text=6%2C%202018%20%E2%80%94%20The%20year%202030,residents%20will%20be%20retirement%20age.Google ScholarGoogle Scholar
  10. M Faviero. 2022. Share of those 65 and older who are tech users has grown in the past decade. Pew Research Center, January 13 (2022).Google ScholarGoogle Scholar
  11. Peter Gregor, Alan F Newell, and Mary Zajicek. 2002. Designing for dynamic diversity: interfaces for older people. In Proceedings of the fifth international ACM conference on Assistive technologies. 151–156.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Andrew Guess, Jonathan Nagler, and Joshua Tucker. 2019. Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science advances 5, 1 (2019), eaau4586.Google ScholarGoogle Scholar
  13. Maram Hasanain and Tamer Elsayed. 2022. Studying effectiveness of Web search for fact checking. Journal of the Association for Information Science and Technology 73, 5(2022), 738–751.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Naeemul Hassan, Gensheng Zhang, Fatma Arslan, Josue Caraballo, Damian Jimenez, Siddhant Gawsane, Shohedul Hasan, Minumol Joseph, Aaditya Kulkarni, Anil Kumar Nayak, 2017. ClaimBuster: the first-ever end-to-end fact-checking system. Proceedings of the VLDB Endowment 10, 12 (2017), 1945–1948.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Duke’s Reporter Lab. 2022. FACT-CHECKING NEWS. https://reporterslab.org/fact-checking/Google ScholarGoogle Scholar
  16. Michael L Miller and Cristian Vaccari. 2020. Digital threats to democracy: comparative lessons and possible remedies. The International Journal of Press/Politics 25, 3 (2020), 333–356.Google ScholarGoogle Scholar
  17. Lynnette HX Ng and Araz Taeihagh. 2021. How does fake news spread? Understanding pathways of disinformation spread through APIs. Policy & Internet 13, 4 (2021), 560–585.Google ScholarGoogle Scholar
  18. Research Center Pew. 2021. Mobile Fact Sheet. Retrieved May, 2022 from https://www.pewresearch.org/internet/fact-sheet/mobile/.Google ScholarGoogle Scholar
  19. Giselle Rampersad and Turki Althiyabi. 2020. Fake news: Acceptance by demographics and culture on social media. Journal of Information Technology & Politics 17, 1 (2020), 1–11.Google ScholarGoogle ScholarCross RefCross Ref
  20. Yasmim Mendes Rocha, Gabriel Acácio de Moura, Gabriel Alves Desidério, Carlos Henrique de Oliveira, Francisco Dantas Lourenço, and Larissa Deadame de Figueiredo Nicolete. 2021. The impact of fake news on social media and its influence on health during the COVID-19 pandemic: A systematic review. Journal of Public Health(2021), 1–10.Google ScholarGoogle Scholar
  21. Nelson A Roque and Walter R Boot. 2018. A new tool for assessing mobile device proficiency in older adults: the mobile device proficiency questionnaire. Journal of Applied Gerontology 37, 2 (2018), 131–156.Google ScholarGoogle ScholarCross RefCross Ref
  22. Victoria L Rubin. 2010. On deception and deception detection: Content analysis of computer-mediated stated beliefs. Proceedings of the American Society for Information Science and Technology 47, 1 (2010), 1–10.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Hyunjin Seo, Matthew Blomberg, Darcey Altschwager, and Hong Tien Vu. 2020. Vulnerable populations and misinformation: A mixed-methods approach to underserved older adults’ online information assessment. New Media & Society(2020), 1461444820925041.Google ScholarGoogle Scholar
  24. Edson C Tandoc Jr, Zheng Wei Lim, and Richard Ling. 2018. Defining “fake news” A typology of scholarly definitions. Digital journalism 6, 2 (2018), 137–153.Google ScholarGoogle ScholarCross RefCross Ref
  25. Galen Weld, Maria Glenski, and Tim Althoff. 2021. Political Bias and Factualness in News Sharing across more than 100,000 Online Communities. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 15. 796–807.Google ScholarGoogle ScholarCross RefCross Ref
  26. Ja Eun Yu and Debaleena Chattopadhyay. 2020. ”Maps are hard for me”: How Older Adults Struggle with Mobile Maps. In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility. in press.Google ScholarGoogle Scholar
  27. Xinyi Zhou and Reza Zafarani. 2020. A survey of fake news: Fundamental theories, detection methods, and opportunities. ACM Computing Surveys (CSUR) 53, 5 (2020), 1–40.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A Review of Smartphone Fact-Checking Apps and their (Non) Use Among Older Adults

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      MobileHCI '22: Adjunct Publication of the 24th International Conference on Human-Computer Interaction with Mobile Devices and Services
      September 2022
      124 pages
      ISBN:9781450393416
      DOI:10.1145/3528575

      Copyright © 2022 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 September 2022

      Check for updates

      Qualifiers

      • extended-abstract
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate202of906submissions,22%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format