Cited by 53Academic Publishing and Open AccessRisk Perception and ManagementAcademic integrity and plagiarism

Evoking vigilance: Would you (dis)trust a scientist who discusses ethical implications of research in a science blog?

Hendriks, Friederike, Kienhues, Dorothe, Bromme, Rainer·2016·Public Understanding of Science

Abstract

The experimental studies presented here investigated whether discussing ethical implications of preliminary scientific results in a science blog would impact blog readers’ perception of the responsible scientist blogger’s epistemic trustworthiness (on the dimensions expertise, integrity, and benevolence). They also investigated whether it made a difference in who had brought forward the ethics aspects: the responsible scientist blogger or another expert. Results indicate that by the mere introduction of ethics, people infer something about the blogger’s communicative intentions: Introducing ethical aspects seems to raise vigilance about an expert’s benevolence and integrity. Moreover, ratings of epistemic trustworthiness differed depending on who added ethical arguments: If ethics were introduced by the scientist blogger himself, his benevolence and integrity were rated higher than when ethics were introduced by another expert. These results are relevant for science bloggers, science communicators, and researchers who study laypeople’s understanding of epistemic uncertainty within science.

Integrity signals

Registry

Crossref · 10.1177/0963662516646048

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Being affiliated to companies with a financial interest in the research subject can be construed as a potential persuasive intent, which might negatively affect integrity and benevolence judgements, but not judgements on expertise.

    “Hendriks et al. (2016) argued that being affiliated to companies with a financial interest in the research subject at hand can be construed as a potential persuasive intent, which might negatively affect integrity and benevolence judgements, but not judgements on expertise.”
  • In a recent study, Hendriks et al. (2016) showed that integrity and benevolence, but not expertise, were affected when ethical aspects were discussed within a research blog.

    “In a recent study, their research group (Hendriks et al., 2016) showed that integrity and benevolence, but not expertise, were affected when ethical aspects were discussed within a research blog.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Hendriks, F., Kienhues, D., & Bromme, R.
Affiliations
University of Münster (DE)
Corresponding author
Hendriks, Friederike
Venue
Public Understanding of Science
Published
2016-08-02
Volume
25
Issue
8
Pages
992-1008
ISSN
  • 0963-6625 (ISSN-L)
  • 1361-6609
OpenAlex
W2346614487
Cited by
53
References
3
Citations by year
2026: 4 · 2025: 12 · 2024: 6 · 2023: 5 · 2022: 7 · 2021: 6 · 2020: 3 · 2019: 4 · 2018: 2 · 2017: 1 · 2016: 3
FWCI
6.31
Type
journal article
Language
en
Open access
closed
Locations
  • Public Understanding of Science (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Deutsche Forschungsgemeinschaft
  • University of Wollongong
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
  • Social Sciences › Sociology and Political Science › Risk Perception and Management
  • Social Sciences › Safety Research › Academic integrity and plagiarism
Keywords
epistemic trustworthiness, science blogging, research ethics, benevolence, integrity, expertise, epistemic uncertainty, science communication, communicative intention
MeSH terms
Adolescent, Ethics, Female, Germany, Humans, Male, Perception, Research, Science, Students, Comprehension, Information Dissemination, Trust, Young Adult, Blogging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review