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.
- Robert A Altemeyer and Bob Altemeyer. 1996. The authoritarian specter. Harvard University Press.Google Scholar
- 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 ScholarCross Ref
- GO Anderson. 2017. Technology use and attitudes among mid-life and older Americans. AARP Research. tinyurl. com/yxwe4ow7. Retrieved April (2017).Google Scholar
- 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 Scholar
- 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 Scholar
- 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 ScholarCross Ref
- 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 Scholar
- 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 ScholarCross Ref
- 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 Scholar
- 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 Scholar
- 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 ScholarDigital Library
- 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 Scholar
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- Duke’s Reporter Lab. 2022. FACT-CHECKING NEWS. https://reporterslab.org/fact-checking/Google Scholar
- 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 Scholar
- 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 Scholar
- Research Center Pew. 2021. Mobile Fact Sheet. Retrieved May, 2022 from https://www.pewresearch.org/internet/fact-sheet/mobile/.Google Scholar
- 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 ScholarCross Ref
- 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 Scholar
- 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 ScholarCross Ref
- 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 ScholarDigital Library
- 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 Scholar
- 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 ScholarCross Ref
- 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 ScholarCross Ref
- 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 Scholar
- 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 ScholarDigital Library
Index Terms
- A Review of Smartphone Fact-Checking Apps and their (Non) Use Among Older Adults
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