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REVIEW 3 major objections 6 minor 112 references

"Auntie, Please Don't Fall for Those Smooth Talkers": How Chinese Younger Family Members Safeguard Seniors from Online Fraud

T0 review · 3 major / 6 minor · reviewed 2026-08-10 · deepseek-v4-flash

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Pith's one-line read Younger Chinese family members form an understudied anti-fraud support system for seniors, performing five distinct roles from prevention to education while facing serious personal costs.

desk verdict Solid first map of family anti-fraud support in China; treat the taxonomy as a well-grounded exploratory result, not a validated framework. read the letter →

arxiv 2501.10803 v1 pith:UMHQUHPF submitted 2025-01-18 cs.HC

Yue Deng , Changyang He , Yixin Zou , Bo Li This is my paper · ORCID
classification cs.HC
keywords onlinefraudolderadultsfamilysupportChinaRedNotethematicanalysisanti-fraudfilialpiety
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper argues that younger family members in China are a distinct and indispensable safeguard for seniors against online fraud, filling a gap left by prior research that focused almost entirely on seniors themselves. By analyzing 124 RedNote posts with 16,872 comments, the authors build a taxonomy showing that younger relatives spot frauds seniors miss, intervene across prevention, identification, persuasion, loss recovery, and education, and struggle with seniors' secrecy, refusal of help, dark payment patterns, weak consumer protections, and their own mental and financial strain. The paper concludes that anti-fraud efforts should treat the family, not just the senior, as the unit of intervention, and that filial piety cuts both ways: it obliges support but also lets seniors guilt younger members into going along with scams. If the findings hold, platforms, educators, and policymakers in China could design remedies that strengthen, rather than strain, these family safeguards.

What carries the argument

The central object is a five-part taxonomy of family support behaviors—prevention, identification, persuasion, loss recovery, education—displayed in a conceptual framework (Figure 3) that pairs each supportive behavior with the challenges that offset it. The taxonomy is derived from inductive thematic analysis (Braun and Clarke 2006) of RedNote posts and comments, where younger family members narrate their experiences of senior-targeted fraud; the analysis organizes these narratives into vulnerabilities, fraud types, channels, strategies, behaviors, and challenges, and the framework then interprets the support process as long-term, evolving, multi-stakeholder, and latency-prone. This framework does the argument's work by converting scattered first-person stories into a generalizable characterization of the family support ecosystem, which the paper then uses to motivate design and policy recommendations.

What would settle it

A direct interview or survey study with younger Chinese family members, asking them to describe their fraud-support behaviors, would settle the matter: if the five-part taxonomy (prevention, identification, persuasion, loss recovery, education) and the challenge themes (guarding information, refusal, stress) do not recur in independent accounts, the RedNote-derived framework would be an artifact of the platform's storytelling norms.

Watch

Extended reading notes

Core claim

The central claim is that younger family members constitute a real, active, and previously underexamined support ecosystem against senior-targeted online fraud in China, and that their assistance follows a consistent five-part structure: prevention (often controlling, such as restricting payments or monitoring accounts), identification (a three-phase process of first contact, evidence gathering, and judgment), persuasion (presenting evidence, enlisting third parties, or scolding), loss recovery (financial help plus emotional care), and education (raising awareness, instilling attitudes, delivering practical advice). The paper also claims that this support is long-term, evolving, multi-stakeholder, and subject to a latency problem, and that it is accompanied by specific challenges: seniors guarding information, refusing interventions, guilt-tripping with filial piety, dark patterns in payment interfaces, limited consumer protections, and significant mental and financial stress on the younger members. These findings are supported by an inductive thematic analysis of 124 posts and 16,872 comments on RedNote, with saturation reached around 70 posts and 12,000 comments.

Load-bearing premise

The entire taxonomy rests on the assumption that the RedNote posts and comments are truthful, representative accounts of real fraud experiences, rather than exaggerated or fabricated stories, since no interviews or behavioral data verify them.

Editorial extensions

If this is right

  • Anti-fraud platforms could build built-in help-request tools that let seniors easily ask family members to review a payment, with consent-based remote access for younger relatives to intervene.
  • Payment systems and live-streaming platforms could reduce dark patterns such as password-free payments, fake close buttons, and misleading red packets, which the data show are disproportionately exploited against seniors.
  • Educational interventions for older adults should explicitly teach that distrusting family and hiding fraud experiences is a common scamming tactic, counteracting the 'brainwashing' the paper documents.
  • Policymakers could treat younger family members as legitimate intermediaries, for example by allowing reports or refunds even when the senior denies being scammed, since police currently refuse help when the victim will not admit the fraud.
  • Social media platforms could host dedicated, moderated anti-fraud discussion spaces where younger family members share new fraud cases, redress channels, and persuasion strategies, with official stakeholders invited to participate.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The taxonomy would likely hold up in other Chinese cities and regions since the user IP locations covered all provinces, but its transfer to non-Chinese contexts is untested; a natural extension would be a comparative study of filial-piety-driven support in other East Asian societies.
  • The paper's emphasis on family members as the de facto last line of financial security suggests that anti-fraud interventions that bypass the family, such as purely individual education, may be systematically less effective in China; a testable prediction is that multi-stakeholder interventions involving family notification outperform senior-only warnings.
  • Because the dataset captures narratives after losses, it likely underrepresents successful early prevention; a prospective study following younger family members over time could reveal whether the five behaviors actually stop fraud or merely shift its timing.
  • The finding that seniors leverage filial piety to extract compliance implies that fraud education aiming at older adults could be counterproductive if it reinforces their authority; an alternative framing, teaching seniors to recognize guilt-tripping as a scam tactic, might reduce resistance to family help.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 6 minor

Summary. The paper reports an inductive thematic analysis of 124 RedNote (Xiaohongshu) posts and 16,872 comments, aiming to characterize how younger Chinese family members safeguard seniors from online fraud. The authors develop a taxonomy of senior-targeted fraud from a familial perspective, a five-category model of supportive behaviors (prevention, identification, persuasion, loss recovery, education), and a list of challenges (guarding information, refusal of help, dark patterns, limited consumer protections, mental and financial stress). These findings are consolidated into a conceptual framework in Figure 3. The study addresses a real gap in HCI/security research, which has mostly studied senior fraud from the victims' perspective, and offers culturally specific insights grounded in Chinese filial piety and red-packet practices.

Significance. If taken as a grounded characterization of a support ecosystem, the paper makes a useful contribution by shifting attention to family members as an understudied stakeholder group and by generating a taxonomy that can inform platform interventions, educational materials, and support tools for younger caregivers. The methodological core is solid for a qualitative study: two independent coders, Cohen's kappa = 0.91, iterative coding to saturation around 70 posts, and multiple illustrative quotes per theme. The paper also acknowledges its key limitations, including credibility of self-reports and single-platform bias. However, the external validity of the central claim—that this taxonomy and framework characterize the family support ecosystem in China—is conditional on the representativeness and truthfulness of the RedNote narratives, which are not independently verified; reframing the contribution as an analysis of narrated experiences on RedNote would make the claims more proportionate to the evidence.

major comments (3)
  1. [§5.4 and §3.5] The central claim that the five-behavior taxonomy and Figure 3 framework validly characterize the family support ecosystem is stronger than the evidence supports, because the corpus consists entirely of self-reported, unverified narratives from a single platform. The manuscript explicitly concedes in §5.4 that 'we cannot fully ensure the credibility of each post and user profile' and in §3.5 that profile ages may be fabricated, yet the abstract and §5.2 present the findings as describing the ecosystem rather than as narratives on RedNote. Given RedNote's contextual-similarity search and personalized recommendation, dramatic stories may be systematically overrepresented, and saturation within such a biased sample does not establish representativeness. I recommend either explicitly reframing the paper's contribution as 'a qualitative account of safeguarding narratives as shared on RedNote' and softening generalizing language throughout, or adding a triangulation component (e.g., a small interview study or comparison with existing survey data) to support the broader claim.
  2. [§3.2 and §3.3] The data collection and filtering process is underreported, making it difficult to assess the representativeness of the final 124-post corpus. The paper states that each search returned around 200 posts and that eight fresh accounts were used, but does not clarify how 2,288 initial posts were accumulated from searches that would each yield approximately 200 results, what overlap existed across accounts, or how the final set was composed. Similarly, after deduplication to 747 posts, the relevance filtering stage is described only by the final Cohen's kappa (0.91) and does not report how many posts were excluded, how many required consensus discussion, or whether the 124 posts are unique across accounts. A more detailed flow with numbers at each stage (e.g., number excluded per coder, number of disagreements resolved) would improve transparency and allow readers to gauge the potential for selection bias.
  3. [§5.2 and Figure 3] The conceptual framework in Figure 3 is a static enumeration of five supportive behaviors and five challenges, with no representation of the relationships among them, even though the surrounding text describes causal and temporal connections. For example, §4.3.2 discusses how seniors' refusal of interventions can be provoked by controlling prevention behaviors, and §5.2 describes how information guarding creates 'latency in support' that delays identification and recovery. If the authors intend Figure 3 to serve as a framework rather than a taxonomy, they should specify these relationships (e.g., with arrows, annotations, or a small set of propositions); otherwise, renaming it a 'summary of themes' would be more accurate. This is a conceptual issue because the discussion in §5.1 and §5.2 relies on the interconnections to draw design implications.
minor comments (6)
  1. [§4.3.2] The cross-reference 'we elaborated in §4.3.4' should be '§4.3.5', since strained family relationships and mental stress are discussed under 'Enormous Mental and Financial Stress' in §4.3.5, not under 'Limited Consumer Protections' in §4.3.4.
  2. [§4.3.1] There is a typo: 'saught' should be 'sought' in the sentence beginning 'When younger family members saught to persuade seniors...'.
  3. [§4.3.2] The phrase 'grilt-tripped' should be 'guilt-tripped' in the description of seniors' behavior.
  4. [Table 1] The asterisk notation in Table 1 ('* means there are other types of fraud utilizing the same fraud channel or strategy') is confusing because the asterisk appears on both channel codes and strategy codes; using a legend that distinguishes channel markers from strategy markers would improve readability, as would indicating the first occurrence of each code without repeating the asterisk.
  5. [§3.1] Describing RedNote as 'the Chinese Instagram' is colloquial; a brief formal description or citation about the platform's features would be more appropriate for an archival venue.
  6. [§5.2] The three characteristics of family support (long-term and evolving, multiple stakeholders, latency in support) are described in the text but are not visually represented in Figure 3; annotating the figure with these characteristics would make the conceptual framework more coherent.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity; the study is an inductive qualitative analysis whose taxonomy and framework are explicitly data-derived and flagged for future validation.

full rationale

This paper makes no formal derivation or quantitative prediction, so the classic circularity patterns (self-definitional constructs, fitted parameters renamed as predictions, uniqueness theorems imported from the authors' prior work) do not apply. The central claim is a qualitative taxonomy of five supportive behaviors (prevention, identification, persuasion, loss recovery, education) and associated challenges, generated through inductive thematic analysis of RedNote posts and comments. The paper states this explicitly: 'We applied inductive thematic analysis [9]... Initially, two authors independently performed open coding [26] on a random sample of 50 posts and their comments to generate preliminary codes... This stage directly reflected insights derived from the data.' The Figure 3 conceptual framework is described as being informed by the empirical findings in Sections 4.2 and 4.3, and the authors expressly caution that it needs validation: 'Our conceptual framework provides a novel perspective of family support on senior-targeted fraud. We encourage future work to empirically validate and expand upon this framework.' Presenting a framework that restates the themes it was built from is standard thematic-analysis reporting rather than circular reasoning. The authors' self-citations, such as [44] and [111], are used only as related-work support for prior findings on street vendors and older adults' privacy behaviors, and they do not carry the paper's central argument. The credibility limitation is also disclosed in Section 5.4: 'We cannot fully ensure the credibility of each post and user profile. If the posts contain false or exaggerated information or users fill in fake profiles, we might not be able to detect it.' That is an acknowledged threat to external validity, not a circularity. Accordingly, the honest finding is no significant circularity, with score 0.

Assumptions & free parameters 0 free parameters · 3 assumptions · 0 invented entities

No free parameters or invented entities. The paper's claims rest on standard qualitative assumptions about the trustworthiness of social media data and the adequacy of the sampling and saturation process. The most fragile assumption is data authenticity, which the authors themselves flag in the limitations.

assumptions (3)
  • domain assumption RedNote posts and comments are truthful, naturalistic accounts of real experiences of younger family members.
    The entire analysis treats user-generated content as empirical evidence about real fraud experiences. The paper itself acknowledges in §5.4 that it 'cannot fully ensure the credibility of each post and user profile.'
  • domain assumption The search and filtering pipeline (keywords 'seniors' AND 'online' AND 'fraud', MediaCrawler, deduplication, relevance filtering) yields a representative corpus of the target phenomenon.
    In §3.2 and §3.3, the authors assume the contextual-similarity search plus relevance coding with kappa=0.91 produces a dataset that supports saturation. The instability of the search mechanism is acknowledged in §5.4.
  • standard math Thematic analysis saturation at around 70 posts (12,000 comments) justifies the themes and framework for the full dataset.
    This is a standard qualitative research assumption (Braun and Clarke thematic analysis), stated in §3.4, that patterns are stable once no new codes emerge.

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Cite this review

Pith. "Pith review of "Auntie, Please Don't Fall for Those Smooth Talkers": How Chinese Younger Family Members Safeguard Seniors from Online Fraud." pith.science (2026). https://pith.science/paper/UMHQUHPF

@misc{pith2026250110803,
  author       = {Pith},
  title        = {Pith review of: "Auntie, Please Don't Fall for Those Smooth Talkers": How Chinese Younger Family Members Safeguard Seniors from Online Fraud},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/UMHQUHPF}},
  note         = {Machine review of arXiv:2501.10803}
}
read the original abstract

Online fraud substantially harms individuals and seniors are disproportionately targeted. While family is crucial for seniors, little research has empirically examined how they protect seniors against fraud. To address this gap, we employed an inductive thematic analysis of 124 posts and 16,872 comments on RedNote (Xiaohongshu), exploring the family support ecosystem for senior-targeted online fraud in China. We develop a taxonomy of senior-targeted online fraud from a familial perspective, revealing younger members often spot frauds hard for seniors to detect, such as unusual charges. Younger family members fulfill multiple safeguarding roles, including preventative measures, fraud identification, fraud persuasion, loss recovery, and education. They also encounter numerous challenges, such as seniors' refusal of help and considerable mental and financial stress. Drawing on these, we develop a conceptual framework to characterize family support in senior-targeted fraud, and outline implications for researchers and practitioners to consider the broader stakeholder ecosystem and cultural aspects.

Figures

Figures reproduced from arXiv: 2501.10803 by the authors.

Figure 1
Figure 1. The analytical flow to understand younger family [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. An interface example of RedNote (translated from [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. The conceptual framework of family support against senior-targeted fraud. The supportive behaviors are highlighted with the blue color and the challenges are show￾cased with the orange color. 5.3 Practical Implications and Recommendations 5.3.1 Platform interventions. In §5.1, we discussed the necessity of balancing online autonomy with financial security. Moreover, our findings revealed sometimes older adults activ… view at source ↗

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Reference graph

Works this paper leans on

112 extracted references · 78 canonical work pages

  1. [1]

    Fraud detection system: A survey

    Aisha Abdallah, Mohd Aizaini Maarof, and Anazida Zainal. Fraud detection system: A survey. Journal of Network and Computer Applications , 68:90–113, 2016

    2016

  2. [2]

    The effects of loneliness on telemarketing fraud vulnerability among older adults.Journal of elder abuse & neglect, 20(1):63– 85, 2008

    Linda M Alves and Steve R Wilson. The effects of loneliness on telemarketing fraud vulnerability among older adults.Journal of elder abuse & neglect, 20(1):63– 85, 2008

    2008

  3. [3]

    Anderson

    Keith B. Anderson. Consumer fraud in the united states, 2011: The third ftc survey. https://www.ftc.gov/sites/default/files/documents/reports/consumer- fraud-united-states-2011-third-ftc-survey/130419fraudsurvey_0.pdf, 2013. Ac- cessed: 2024-05-20

    2011

  4. [4]

    Synthesizing test data for fraud detection systems

    Emilie Lundin Barse, Hakan Kvarnstrom, and Erland Jonsson. Synthesizing test data for fraud detection systems. In 19th Annual Computer Security Applications Conference, 2003. Proceedings., pages 384–394. IEEE, 2003

    2003

  5. [5]

    Towards a thematic dimensional framework of online fraud: An exploration of fraudulent email attack tactics and intentions

    Debalina Bera, Obi Ogbanufe, and Dan J Kim. Towards a thematic dimensional framework of online fraud: An exploration of fraudulent email attack tactics and intentions. Decision Support Systems, 171:113977, 2023

    2023

  6. [6]

    The effect of elder fraud and ways to prevent it

    Kenneth V Berry. The effect of elder fraud and ways to prevent it . PhD thesis, Utica College, 2013

    2013

  7. [7]

    Family therapy in clinical practice

    Murray Bowen. Family therapy in clinical practice . Jason Aronson, 1993

    1993

  8. [8]

    Cognitive decline impairs financial and health literacy among community-based older persons without dementia

    Patricia A Boyle, Lei Yu, Robert S Wilson, Eisuke Segawa, Aron S Buchman, and David A Bennett. Cognitive decline impairs financial and health literacy among community-based older persons without dementia. Psychology and aging, 28(3):614, 2013

    2013

Show all 112 references
  1. [9]

    Using thematic analysis in psychology

    Virginia Braun and Victoria Clarke. Using thematic analysis in psychology. Qualitative research in psychology, 3(2):77–101, 2006

    2006

  2. [10]

    Meeting you was a fake: investigating the increase in romance fraud during covid-19.Journal of Financial Crime, 29(2):460– 475, 2022

    David Buil-Gil and Yongyu Zeng. Meeting you was a fake: investigating the increase in romance fraud during covid-19.Journal of Financial Crime, 29(2):460– 475, 2022

    2022

  3. [11]

    interfraud

    Mark Button. Cross-border fraud and the case for an “interfraud”. Policing: An International Journal of Police Strategies & Management , 35(2):285–303, 2012

    2012

  4. [12]

    A better deal for fraud victims: Research into victims’ needs and experiences

    Mark Button, Chris Lewis, and Jacki Tapley. A better deal for fraud victims: Research into victims’ needs and experiences. 2009

    2009

  5. [13]

    Not a victimless crime: The impact of fraud on individual victims and their families

    Mark Button, Chris Lewis, and Jacki Tapley. Not a victimless crime: The impact of fraud on individual victims and their families. Security Journal, 27:36–54, 2014

    2014

  6. [14]

    Online frauds: Learning from victims why they fall for these scams

    Mark Button, Carol McNaughton Nicholls, Jane Kerr, and Rachael Owen. Online frauds: Learning from victims why they fall for these scams. Australian & New Zealand journal of criminology , 47(3):391–408, 2014

    2014

  7. [15]

    companion animal

    Haoxian Cai and Wei Duan. Changing perceptions and uses of “companion animal” public and pseudo-public spaces in cities during covid-19 pandemic: The case of beijing. Land, 11(9):1475, 2022

    2022

  8. [16]

    Phishing for elderly victims: as the elderly migrate to the internet fraudulent schemes targeting them follow

    Eric L Carlson. Phishing for elderly victims: as the elderly migrate to the internet fraudulent schemes targeting them follow. Elder LJ, 14:423, 2006

    2006

  9. [17]

    The influence of a sense of time on human development

    Laura L Carstensen. The influence of a sense of time on human development. Science, 312(5782):1913–1915, 2006

    1913

  10. [18]

    At the intersection of emotion and cognition: Aging and the positivity effect

    Laura L Carstensen and Joseph A Mikels. At the intersection of emotion and cognition: Aging and the positivity effect. Current directions in psychological science, 14(3):117–121, 2005

    2005

  11. [19]

    Neural and behavioral bases of age differences in perceptions of trust

    Elizabeth Castle, Naomi I Eisenberger, Teresa E Seeman, Wesley G Moons, Ian A Boggero, Mark S Grinblatt, and Shelley E Taylor. Neural and behavioral bases of age differences in perceptions of trust. Proceedings of the National Academy of Sciences, 109(51):20848–20852, 2012

    2012

  12. [20]

    Federal bureau of investigation internet crime report 2023

    Internet Crime Complaint Center. Federal bureau of investigation internet crime report 2023. https://www.ic3.gov/Media/PDF/AnnualReport/2023_IC3Report. pdf, 2023. Accessed: 2024-05-20

    2023

  13. [21]

    Parenting and family relationships in chinese families: A critical ecological approach

    Susan S Chuang, Jenny Glozman, David S Green, and Sarah Rasmi. Parenting and family relationships in chinese families: A critical ecological approach. Journal of Family Theory & Review , 10(2):367–383, 2018

    2018

  14. [22]

    Ftc brings together advisory group to combat scams against older adults

    Federal Trade Commission. Ftc brings together advisory group to combat scams against older adults. https://consumer.ftc.gov/consumer-alerts/2022/09/ ftc-brings-together-advisory-group-combat-scams-against-older-adults, 2022. Accessed: 2024-05-30

    2022

  15. [23]

    Where elder abuse and the justice system collide: Police power, parens patriae, and 12 recommendations

    Marie-Therese Connolly. Where elder abuse and the justice system collide: Police power, parens patriae, and 12 recommendations. Journal of Elder Abuse & Neglect, 22(1-2):37–93, 2010

    2010

  16. [24]

    Technology-facilitated gender-based violence: The case of couchsurfing

    Laura Consalter. Technology-facilitated gender-based violence: The case of couchsurfing. com, 2024

    2024

  17. [25]

    Malicious interface design: exploiting the user

    Gregory Conti and Edward Sobiesk. Malicious interface design: exploiting the user. In Proceedings of the 19th international conference on World wide web , pages 271–280, 2010

    2010

  18. [26]

    Basics of qualitative research: Techniques and procedures for developing grounded theory

    Juliet Corbin and Anselm Strauss. Basics of qualitative research: Techniques and procedures for developing grounded theory . Sage publications, 2014

    2014

  19. [27]

    ’they’re very lonely’: Understanding the fraud victimisation of seniors

    Cassandra Cross. ’they’re very lonely’: Understanding the fraud victimisation of seniors. International Journal for Crime, Justice and Social Democracy, 5(4):60–75, 2016

    2016

  20. [28]

    Meeting the challenges of fraud in a digital world

    Cassandra Cross. Meeting the challenges of fraud in a digital world. In The handbook of security, pages 217–238. Springer, 2022

    2022

  21. [29]

    Challenges of responding to online fraud victimisation in australia

    Cassandra Cross, Russell G Smith, and Kelly Richards. Challenges of responding to online fraud victimisation in australia. Trends and issues in crime and criminal justice, (474):1–6, 2014

    2014

  22. [30]

    Older adults and fraud: Suggestions for policy and practice

    Olivia DaDalt. Older adults and fraud: Suggestions for policy and practice. Journal of Economic & Financial Studies , 4(03):38–44, 2016

    2016

  23. [31]

    Breaking! a typology of security and privacy news and how it’s shared

    Sauvik Das, Joanne Lo, Laura Dabbish, and Jason I Hong. Breaking! a typology of security and privacy news and how it’s shared. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems , pages 1–12, 2018

    2018

  24. [32]

    active users

    Qiangua Data. 2024 research report on “active users” (xiaohongshu platform). https://www.qian-gua.com/blog/detail/2898.html. Accessed: 2024-05-20

    2024

  25. [33]

    Elder fraud and financial exploitation: Application of routine activity theory

    Marguerite DeLiema. Elder fraud and financial exploitation: Application of routine activity theory. The Gerontologist, 58(4):706–718, 2018

    2018

  26. [34]

    Correlates of responding to and becoming victimized by fraud: Examining risk factors by scam type

    Marguerite DeLiema, Yiting Li, and Gary Mottola. Correlates of responding to and becoming victimized by fraud: Examining risk factors by scam type. International Journal of Consumer Studies , 47(3):1042–1059, 2023

    2023

  27. [35]

    Lai Fan and Dayu Zhang. Study on the hotspots of urban tourism spaces based on instagram-worthy locations data: Taking beijing as an example.Environment and Planning B: Urban Analytics and City Science , 50(7):1822–1837, 2023

    2023

  28. [36]

    Ethical considerations for research involving (speculative) public data

    Casey Fiesler. Ethical considerations for research involving (speculative) public data. Proceedings of the ACM on Human-Computer Interaction , 3(GROUP):1–13, 2019

    2019

  29. [37]

    Social desirability bias and the validity of indirect questioning

    Robert J Fisher. Social desirability bias and the validity of indirect questioning. Journal of consumer research , 20(2):303–315, 1993

    1993

  30. [38]

    The globle risks report 2024

    World Economic Forum. The globle risks report 2024. https://www3.weforum. org/docs/WEF_The_Global_Risks_Report_2024.pdf, 2024. Accessed: 2024-05-20

    2024

  31. [39]

    Privacy and security threat models and mitigation strategies of older adults

    Alisa Frik, Leysan Nurgalieva, Julia Bernd, Joyce Lee, Florian Schaub, and Serge Egelman. Privacy and security threat models and mitigation strategies of older adults. In Fifteenth symposium on usable privacy and security (SOUPS 2019) , pages 21–40, 2019

    2019

  32. [40]

    Prevalence of mental disorders after catastrophic financial loss

    Linda Ganzini, Bentson H McFarland, and David Cutler. Prevalence of mental disorders after catastrophic financial loss. The Journal of nervous and mental disease, 178(11):680–685, 1990

    1990

  33. [41]

    Practical recommendations on crawling online social networks

    Minas Gjoka, Maciej Kurant, Carter T Butts, and Athina Markopoulou. Practical recommendations on crawling online social networks. IEEE Journal on Selected Areas in Communications, 29(9):1872–1892, 2011

    2011

  34. [42]

    Protected by design

    Andrew Gloag and Polly Mackenzie. Protected by design. Demos, 2019

    2019

  35. [43]

    Mild cognitive impairment and susceptibility to scams in old age

    S Duke Han, Patricia A Boyle, Bryan D James, Lei Yu, and David A Bennett. Mild cognitive impairment and susceptibility to scams in old age. Journal of Alzheimer’s Disease, 49(3):845–851, 2016

    2016

  36. [44]

    i have to use my son’s qr code to run the business

    Changyang He, Lu He, Zhicong Lu, and Bo Li. " i have to use my son’s qr code to run the business": Unpacking senior street vendors’ challenges in mobile money collection in china. Proceedings of the ACM on Human-Computer Interaction , 7(CSCW1):1–28, 2023

    2023

  37. [45]

    Digital security–a question of perspective

    Franziska Herbert, Steffen Becker, Annalina Buckmann, Marvin Kowalewski, Jonas Hielscher, Yasemin Acar, Markus Dürmuth, Yixin Zou, and M Angela Sasse. Digital security–a question of perspective. a large-scale telephone survey with four at-risk user groups. arXiv preprint arXiv...

    2022 arXiv

  38. [46]

    Navigating relationships and boundaries: Concerns around ict-uptake for elderly people

    Dominik Hornung, Claudia Müller, Irina Shklovski, Timo Jakobi, and Volker Wulf. Navigating relationships and boundaries: Concerns around ict-uptake for elderly people. In Proceedings of the 2017 CHI conference on human factors in computing systems, pages 7057–7069, 2017

    2017

  39. [47]

    Howe, Indrajit Ray, Mark Roberts, Malgorzata Urbanska, and Zinta Byrne

    Adele E. Howe, Indrajit Ray, Mark Roberts, Malgorzata Urbanska, and Zinta Byrne. The psychology of security for the home computer user. In 2012 IEEE CHI ’25, April 26-May 1, 2025, Yokohama, Japan Deng et al. Symposium on Security and Privacy , pages 209–223, 2012

    2012

  40. [48]

    Filial piety: Practice and discourse in contemporary East Asia

    Charlotte Ikels. Filial piety: Practice and discourse in contemporary East Asia . Stanford University Press, 2004

    2004

  41. [49]

    Correlates of susceptibil- ity to scams in older adults without dementia

    Bryan D James, Patricia A Boyle, and David A Bennett. Correlates of susceptibil- ity to scams in older adults without dementia. Journal of elder abuse & neglect , 26(2):107–122, 2014

    2014

  42. [50]

    The social engineer: An immersive virtual reality educational game to raise social engineering awareness

    Pascal Jansen and Fabian Fischbach. The social engineer: An immersive virtual reality educational game to raise social engineering awareness. In Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play , pages 59–63, 2020

    2020

  43. [51]

    The role of cognition, personality, and trust in fraud victimization in older adults

    Rebecca A Judges, Sara N Gallant, Lixia Yang, and Kang Lee. The role of cognition, personality, and trust in fraud victimization in older adults. Frontiers in psychology, 8:248182, 2017

    2017

  44. [52]

    Defining, categorizing and defending against online fraud, 2014

    Joakim Kävrestad. Defining, categorizing and defending against online fraud, 2014

    2014

  45. [53]

    Consumer fraud against older adults in digital society: Examining victimization and its impact

    Steven Kemp and Nieves Erades Pérez. Consumer fraud against older adults in digital society: Examining victimization and its impact. International Journal of Environmental Research and Public Health , 20(7):5404, 2023

    2023

  46. [54]

    Trading as gambling: Social investing and financial risks on the r/wallstreetbets subreddit

    Yubo Kou, Sam Moradzadeh, and Xinning Gui. Trading as gambling: Social investing and financial risks on the r/wallstreetbets subreddit. In Proceedings of the CHI Conference on Human Factors in Computing Systems , pages 1–17, 2024

    2024

  47. [55]

    Evaluating detectors on optimal attack vectors that enable electricity theft and der fraud

    Varun Badrinath Krishna, Carl A Gunter, and William H Sanders. Evaluating detectors on optimal attack vectors that enable electricity theft and der fraud. IEEE Journal of Selected Topics in Signal Processing , 12(4):790–805, 2018

    2018

  48. [56]

    i don’t really give them piece of mind

    Lin Kyi and Elizabeth Stobert. “i don’t really give them piece of mind”: User perceptions of social engineering attacks. In2022 APWG Symposium on Electronic Crime Research (eCrime), pages 1–13. IEEE, 2022

    2022

  49. [57]

    Age-associated financial vulnerability: An emerging public health issue, 2015

    Mark S Lachs and S Duke Han. Age-associated financial vulnerability: An emerging public health issue, 2015

    2015

  50. [58]

    it’s up to the consumer to be smart

    Jingjie Li, Kaiwen Sun, Brittany Skye Huff, Anna Marie Bierley, Younghyun Kim, Florian Schaub, and Kassem Fawaz. “it’s up to the consumer to be smart”: Understanding the security and privacy attitudes of smart home users on reddit. In 2023 IEEE Symposium on Security and Privac...

    2023

  51. [59]

    Age differences in trust: An investigation across 38 countries

    Tianyuan Li and Helene H Fung. Age differences in trust: An investigation across 38 countries. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68(3):347–355, 2013

    2013

  52. [60]

    Is psychological vul- nerability related to the experience of fraud in older adults?Clinical gerontologist, 36(2):132–146, 2013

    Peter A Lichtenberg, Laurie Stickney, and Daniel Paulson. Is psychological vul- nerability related to the experience of fraud in older adults?Clinical gerontologist, 36(2):132–146, 2013

    2013

  53. [61]

    Psychological and functional vulnerability predicts fraud cases in older adults: Results of a longitudinal study

    Peter Alexander Lichtenberg, Michael A Sugarman, Daniel Paulson, Lisa J Ficker, and Annalise Rahman-Filipiak. Psychological and functional vulnerability predicts fraud cases in older adults: Results of a longitudinal study. Clinical Gerontologist, 39(1):48–63, 2016

    2016

  54. [62]

    Susceptibility to spear-phishing emails: Effects of internet user demographics and email content

    Tian Lin, Daniel E Capecci, Donovan M Ellis, Harold A Rocha, Sandeep Dom- maraju, Daniela S Oliveira, and Natalie C Ebner. Susceptibility to spear-phishing emails: Effects of internet user demographics and email content. ACM Transac- tions on Computer-Human Interaction (TOCHI)...

    2019

  55. [63]

    Fake it till you make it: Fishing for catfishes

    Walid Magdy, Yehia Elkhatib, Gareth Tyson, Sagar Joglekar, and Nishanth Sastry. Fake it till you make it: Fishing for catfishes. InProceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, pages 497–504, 2017

    2017

  56. [64]

    Systematic review of the hawthorne effect: new concepts are needed to study research participation effects

    Jim McCambridge, John Witton, and Diana R Elbourne. Systematic review of the hawthorne effect: new concepts are needed to study research participation effects. Journal of clinical epidemiology , 67(3):267–277, 2014

    2014

  57. [65]

    ’don’t fall for this’: Communications about cybersafety from the aarp

    Nora McDonald and Helena M Mentis. ’don’t fall for this’: Communications about cybersafety from the aarp. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2):1–21, 2023

    2023

  58. [66]

    Social engineering attack examples, templates and scenarios

    Francois Mouton, Louise Leenen, and Hein S Venter. Social engineering attack examples, templates and scenarios. Computers & Security, 59:186–209, 2016

    2016

  59. [67]

    Rethinking financial inclusion: From access to autonomy

    Srihari Hulikal Muralidhar, Claus Bossen, and Jacki O’neill. Rethinking financial inclusion: From access to autonomy. Computer Supported Cooperative Work (CSCW), 28:511–547, 2019

    2019

  60. [68]

    Individually vulnerable, collectively safe: The security and privacy practices of households with older adults

    Savanthi Murthy, Karthik S Bhat, Sauvik Das, and Neha Kumar. Individually vulnerable, collectively safe: The security and privacy practices of households with older adults. 5, april: 1–24, 2021

    2021

  61. [69]

    Focused on the ’old and young’! 77.7 https://news.cctv.com/2024/02/05/ARTIIAcXLj1zwC29Ik7UtNN2240205

    China Central Television (CCTV) News. Focused on the ’old and young’! 77.7 https://news.cctv.com/2024/02/05/ARTIIAcXLj1zwC29Ik7UtNN2240205. shtml, 2024. Accessed: 2024-05-30

    2024

  62. [70]

    Not too old for tiktok: How older adults are reframing aging

    Reuben Ng and Nicole Indran. Not too old for tiktok: How older adults are reframing aging. The Gerontologist, 62(8):1207–1216, 2022

    2022

  63. [71]

    if it’s important it will be a headline

    James Nicholson, Lynne Coventry, and Pamela Briggs. " if it’s important it will be a headline" cybersecurity information seeking in older adults. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems , pages 1–11, 2019

    2019

  64. [72]

    Anti-telecom and online fraud law of the people’s republic of china

    The State Council of the People’s Republic of China. Anti-telecom and online fraud law of the people’s republic of china. https://www.gov.cn/xinwen/2022- 09/02/content_5708119.htm, 2022. Accessed: 2024-05-01

    2022

  65. [73]

    Dissecting spear phishing emails for older vs young adults: On the interplay of weapons of influence and life domains in predicting susceptibility to phishing

    Daniela Oliveira, Harold Rocha, Huizi Yang, Donovan Ellis, Sandeep Dommaraju, Melis Muradoglu, Devon Weir, Adam Soliman, Tian Lin, and Natalie Ebner. Dissecting spear phishing emails for older vs young adults: On the interplay of weapons of influence and life domains in predic...

    2017

  66. [74]

    The top 5 financial scams targeting older adults

    National Council on Aging. The top 5 financial scams targeting older adults. https://www.ncoa.org/article/top-5-financial-scams-targeting-older- adults, 2023. Accessed: 2024-05-01

    2023

  67. [75]

    Chinese daughters negotiating contemporary norms and tradi- tional filial obligation

    Patricia O’Neill. Chinese daughters negotiating contemporary norms and tradi- tional filial obligation. PhD thesis, Oxford University, UK, 2015

    2015

  68. [76]

    Aarp foundation national fraud victim study

    Karla Pak and Doug Shadel. Aarp foundation national fraud victim study. https: //assets.aarp.org/rgcenter/econ/fraud-victims-11.pdf, 2011. Accessed: 2024-05- 20

    2011

  69. [77]

    if we don’t listen to them, we make them lose more than money:

    Katalin Parti and Faika Tahir. “if we don’t listen to them, we make them lose more than money:” exploring reasons for underreporting and the needs of older scam victims. Social Sciences, 12(5):264, 2023

    2023

  70. [78]

    Fbi: More than $12 billion lost to online fraud in 2023

    PYMNTS. Fbi: More than $12 billion lost to online fraud in 2023. https://www.pymnts.com/news/security-and-risk/2024/fbi-more-than- 12-billion-lost-to-online-fraud-in-2023/, 2024. Accessed: 2024-05-20

    2023

  71. [79]

    we even borrowed money from our neighbor

    Lubna Razaq, Tallal Ahmad, Samia Ibtasam, Umer Ramzan, and Shrirang Mare. " we even borrowed money from our neighbor" understanding mobile-based frauds through victims’ experiences.Proceedings of the ACM on human-computer interaction, 5(CSCW1):1–30, 2021

    2021

  72. [80]

    Shopping fraud victimization among the elderly

    Michael D Reisig and Kristy Holtfreter. Shopping fraud victimization among the elderly. Journal of Financial Crime , 20(3):324–337, 2013

    2013

  73. [81]

    Mediacrawler

    Relakkes. Mediacrawler. https://github.com/NanmiCoder/MediaCrawler, 2023. Accessed: 2024-05-20

    2023

  74. [82]

    Age-related differences in deception

    Ted Ruffman, Janice Murray, Jamin Halberstadt, and Tina Vater. Age-related differences in deception. Psychology and aging, 27(3):543, 2012

    2012

  75. [83]

    Schechter, Rachna Dhamija, Andy Ozment, and Ian Fischer

    Stuart E. Schechter, Rachna Dhamija, Andy Ozment, and Ian Fischer. The emperor’s new security indicators. In 2007 IEEE Symposium on Security and Privacy (SP ’07), pages 51–65, 2007

    2007

  76. [84]

    Digital deception: Generative artificial intel- ligence in social engineering and phishing

    Marc Schmitt and Ivan Flechais. Digital deception: Generative artificial intel- ligence in social engineering and phishing. arXiv preprint arXiv:2310.13715 , 2023

    2023 arXiv

  77. [85]

    Consumer fraud: Older people’s perceptions and experiences

    Michal Segal, Israel Doron, and Sagit Mor. Consumer fraud: Older people’s perceptions and experiences. Journal of Aging & Social Policy , 33(1):1–21, 2021

    2021

  78. [86]

    Exploring the psychological mechanisms from person- alized advertisements to urge to buy impulsively on social media

    Virda Setyani, Yu-Qian Zhu, Achmad Nizar Hidayanto, Puspa Indahati Sand- hyaduhita, and Bo Hsiao. Exploring the psychological mechanisms from person- alized advertisements to urge to buy impulsively on social media. International Journal of Information Management , 48:96–107, 2019

    2019

  79. [87]

    Why are older adults victims of fraud? current knowledge and prospects regarding older adults’ vulnerability to fraud

    Jingjin Shao, Qianhan Zhang, Yining Ren, Xiying Li, and Tian Lin. Why are older adults victims of fraud? current knowledge and prospects regarding older adults’ vulnerability to fraud. Journal of Elder Abuse & Neglect , 31(3):225–243, 2019

    2019

  80. [88]

    Intergenerational relationships and elderly care in china: A global perspective

    Xuewen Sheng and Barbara H Settles. Intergenerational relationships and elderly care in china: A global perspective. Current Sociology, 54(2):293–313, 2006

    2006

  81. [89]

    Challenges of online security for senior citizens, 2023

    Sinthujan Sivagumaran. Challenges of online security for senior citizens, 2023

    2023

  82. [90]

    Old age and the potential for web fraud: An in-depth analysis

    Herut Soffer. Old age and the potential for web fraud: An in-depth analysis. A vailable at SSRN 4602538, 2023

    2023

  83. [91]

    Number of monthly active users of xiaohongshu app in china from december 2020 to september 2023

    Statista. Number of monthly active users of xiaohongshu app in china from december 2020 to september 2023. https://www.statista.com/statistics/1327421/ china-xiaohongshu-monthly-active-users/. Accessed: 2024-05-20

    2020

  84. [92]

    Number of registered users of xiaohongshu in china from 2015 to

    Statista. Number of registered users of xiaohongshu in china from 2015 to

    2015

  85. [93]

    i never imagined grandma could do so well with technology

    Xinru Tang, Yuling Sun, Bowen Zhang, Zimi Liu, RAY Lc, Zhicong Lu, and Xin Tong. " i never imagined grandma could do so well with technology" evolving roles of younger family members in older adults’ technology learning and use. Proceedings of the ACM on Human-Computer Interac...

    2022

  86. [94]

    Social media and lifestyle: The lifestyle integration path for brand communication

    Shuoyu Tao and Yang Xi. Social media and lifestyle: The lifestyle integration path for brand communication. InProceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China, 2023

    2023

  87. [95]

    Only the tip of the iceberg: Fraud against older people

    Age UK. Only the tip of the iceberg: Fraud against older people. https://www.ageuk.org.uk/globalassets/age-uk/documents/reports-and- publications/reports-and-briefings/safe-at-home/rb_april15_only_the_tip_ of_the_iceberg.pdf, 2015. Accessed: 2024-05-30

    2015

  88. [96]

    Applying the brakes: Slowing and stopping fraud against older people

    Age UK. Applying the brakes: Slowing and stopping fraud against older people. https://www.ageuk.org.uk/globalassets/age-uk/documents/reports- and-publications/reports-and-briefings/safe-at-home/rb_mar18_applying_ the_brakes.pdf, 2018. Accessed: 2024-05-30

    2018

  89. [97]

    Investigating vulnerability and reporting behavior for consumer fraud victimization: Opportunity as a social aspect of age

    Judy Van Wyk and Karen A Mason. Investigating vulnerability and reporting behavior for consumer fraud victimization: Opportunity as a social aspect of age. Journal of contemporary criminal justice , 17(4):328–345, 2001. How Chinese Younger Family Members Safeguard Seniors from...

    2001

  90. [98]

    ’i knew it was too good to be true" the challenges economically disadvantaged internet users face in assessing trustworthiness, avoiding scams, and developing self-efficacy online

    Jessica Vitak, Yuting Liao, Mega Subramaniam, and Priya Kumar. ’i knew it was too good to be true" the challenges economically disadvantaged internet users face in assessing trustworthiness, avoiding scams, and developing self-efficacy online. Proceedings of the ACM on human-c...

    2018

  91. [99]

    How experts detect phishing scam emails

    Rick Wash. How experts detect phishing scam emails. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2):1–28, 2020

    2020

  92. [100]

    Wikipedia. Wechat. https://en.wikipedia.org/wiki/WeChat. Accessed: 2024-08- 20

    2024

  93. [101]

    Wechat red envelope

    Wikipedia. Wechat red envelope. https://en.wikipedia.org/wiki/WeChat_red_ envelope. Accessed: 2024-05-20

    2024

  94. [102]

    Wikipedia. Weibo. https://en.wikipedia.org/wiki/Weibo. Accessed: 2024-08-20

    2024

  95. [103]

    Xiaohongshu

    Wikipedia. Xiaohongshu. https://en.wikipedia.org/wiki/Xiaohongshu. Ac- cessed: 2024-05-20

    2024

  96. [104]

    National anti-fraud center

    Wikipedia. National anti-fraud center. https://en.wikipedia.org/wiki/National_ Anti-Fraud_Center, 2021. Accessed: 2024-05-01

    2021

  97. [105]

    Auditing personalized recommendation algorithms through spontaneous click-based user interaction

    Qunfang Wu, Zitong Huang, Yaqi Zhang, and Chung-Chin Eugene Liu. Auditing personalized recommendation algorithms through spontaneous click-based user interaction. 2018

    2018

  98. [106]

    Money as a social currency to manage group dynamics: Red packet gifting in chinese online communities

    Ziming Wu and Xiaojuan Ma. Money as a social currency to manage group dynamics: Red packet gifting in chinese online communities. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pages 2240–2247, 2017

    2017

  99. [107]

    Family support for old people in rural china

    Yuebin Xu. Family support for old people in rural china. Social Policy & Administration, 35(3):307–320, 2001

    2001

  100. [108]

    lucky money

    Yusi Xu. The “lucky money” that started it all—the reinvention of the ancient tradition “red packet” in digital times. Social Media+ Society , 7(3):20563051211041643, 2021

    2021

  101. [109]

    Filial obligations and expectations in china: Current views from young and old people in beijing

    Xiaodong Yue and Sik Hung Ng. Filial obligations and expectations in china: Current views from young and old people in beijing. Asian Journal of Social Psychology, 2(2):215–226, 1999

    1999

  102. [110]

    The role of the family in institutional long-term care: cultural management of filial piety in china

    Heying Jenny Zhan, Zhanlian Feng, Zhiyu Chen, and Xiaotian Feng. The role of the family in institutional long-term care: cultural management of filial piety in china. International Journal of Social Welfare , 20:S121–S134, 2011

    2011

  103. [111]

    Cross-contextual examination of older adults’ privacy concerns, behaviors, and vulnerabilities

    Yixin Zou, Kaiwen Sun, Tanisha Afnan, Ruba Abu-Salma, Robin Brewer, and Florian Schaub. Cross-contextual examination of older adults’ privacy concerns, behaviors, and vulnerabilities. Proceedings on Privacy Enhancing Technologies , 2024

    2024

  104. [2020]

    Accessed: 2024-05-20

    https://www.statista.com/statistics/1053577/china-xiaohongshu-user- number/. Accessed: 2024-05-20

    2024

Pith tools

Reviewed August 10, 2026 · model on record in the stance chip above.