Evidence map›Paper›PMID 28812222›Full record

ArticleScience and engineering ethics2018

Ethics and Phishing Experiments.

David B Resnik, Peter R Finn

Abstract read
PubMed Publisher
In one paragraph

Article in Science and engineering ethics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Ethical Frameworks for Conducting Social Challenge Studies.Journal of empirical research on human research ethics : JERHRE · 2026
    Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

David B ResnikNational Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), 111 Alexander Drive, Research Triangle Park, NC, 27709, USA. resnikd@niehs.nih.gov.ORCID 0000-0002-5139-9555
Peter R FinnDepartment of Psychological and Brain Sciences, Indiana University at Bloomington, Bloomington, IN, USA.

Funding

Ethical, social, and legal issues in environmental health researchZIAES102646 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RESNIK, DAVID · 2009 to 2025
$1.8M
NIEHS NIH HHS ZIAES102646-08
6 · The paper itself

Abstract

Phishing is a fraudulent form of email that solicits personal or financial information from the recipient, such as a password, username, or social security or bank account number. The scammer may use the illicitly obtained information to steal the victim's money or identity or sell the information to another party. The direct costs of phishing on consumers are exceptionally high and have risen substantially over the past 12 years. Phishing experiments that simulate real world conditions can provide cybersecurity experts with valuable knowledge they can use to develop effective countermeasures and prevent people from being duped by phishing emails. Although these experiments contravene widely accepted informed consent requirements and involve deception, we argue that they can be conducted ethically if risks are minimized, confidentiality and privacy are protected, potential participants have an opportunity to opt out of the research before it begins, and human subjects are debriefed after their participation ends.

Indexed as

Computer SecurityConfidentialityDeceptionElectronic MailEthics, ResearchInformed ConsentResearch DesignEthics Committees, ResearchHuman ExperimentationHumansPersonal AutonomyPrivacyResearch SubjectsCybersecurityDebriefingDeceptionEthicsHuman experimentationInformed consentPhishing

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.