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Measuring Laypeople’s Trust in Experts in a Digital Age: The Muenster Epistemic Trustworthiness Inventory (METI)
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Given their lack of background knowledge, laypeople require expert help when dealing with scientific information. To decide whose help is dependable, laypeople must judge an expert's epistemic trustworthiness in terms of competence, adherence to scientific standards, and good intentions. Online, this may be difficult due to the often limited and sometimes unreliable source information available. To measure laypeople's evaluations of experts (encountered online), we constructed an inventory to assess epistemic trustworthiness on the dimensions expertise, integrity, and benevolence. Exploratory (n = 237) and confirmatory factor analyses (n = 345) showed that the Muenster Epistemic Trustworthiness Inventory (METI) is composed of these three factors. A subsequent experimental study (n = 137) showed that all three dimensions of the METI are sensitive to variation in source characteristics. We propose using this inventory to measure assignments of epistemic trustworthiness, that is, all judgments laypeople make when deciding whether to place epistemic trust in-and defer to-an expert in order to solve a scientific informational problem that is beyond their understanding.
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“Hendriks et al. (2015) differentiated three dimensions of epistemic trustworthiness, i.e. expertise, integrity, and benevolence.”
From A Randomized Controlled Study on the Effectiveness of Plain Language Summaries of Psychological Meta-Analyses (2025) · cites this paper as Hendriks et al., 2015
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“In persuasion research, the Yale Group introduced the concept of communicator credibility, defined by expertness and trustworthiness [25], and later extended as epistemic trustworthiness comprising expertise, integrity, and benevolence [13,22,32].”
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Intellectual Humility in the Eyes of Others: Implications for Social Perception and Trust
Koetke, J., & Schumann, K. (2026) · Current Directions in Psychological Science · doi:10.1177/09637214261419421
“Epistemic trust-worthiness is a judgment that follows from perceived IH: Observers who see someone as intellectually hum-ble often judge them as more competent, benevolent, and morally grounded—facets of epistemic trustworthiness (Hendriks et al., 2015).”
Tönsfeuerborn, T., Hauck, K., Volle, J., & Kaldewey, D. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-07033-1
Who Said What? Confusing Scientists and Laypeople on Social Media
Rudholzer, E. M., & Utz, S. (2026) · Basic and Applied Social Psychology · doi:10.1080/01973533.2026.2639997
POST-TRUTH, SOSYAL MEDYA VE DEZENFORMASYONLA MÜCADELE MERKEZİ
BAHÇIVAN, S. (2026) · Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.16953/deusosbil.1519107 · Cited by 1
The Property in Intellectual Property: Reputation Is Harder to Share Than Ideas.
Darcy, G., Karabegovic, M., & Mercier, H. (2026) · Cognitive Sciences · doi:10.1111/cogs.70192
Critical science communication: Conceptual thoughts on explicating and practising normativity
Kreutzer, T. (2026) · Cultures of Science · doi:10.1177/20966083261423219
“Psychological research on dimensions of trust in science among laypeople stresses the importance of the assumed benevolence of researchers and their work (Hendriks et al., 2015).”
Asymmetric Trust Effects of Corrective AI in Expert Advisory Workflows Under Epistemic Dependence
Kim, D., Daneshi, R., Draper, B. A., et al. (2026) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1609/aies.v9i3.43244
“…we tested are as follows: • H1: Advisor errors will significantly negatively affect trust evaluations of the advisor, including epistemic trustworthiness measured using the Hendriks, Kienhues, and Bromme (2015) instrument and entity-specific trust adapted from Riedl, Hogeterp, and Reuter (2024).”
InfluentialCormick, C., & Edelsztein, V. C. (2026) · Daímon · doi:10.6018/daimon.558391 · Cited by 1
“It is interesting to note that this phenomenon overlaps with the previously known crisis of public trust in the testimony of scientific experts (Almassi, 2012; Haerlin & Parr, 1999; Hendriks et al., 2015).”
Confianza en la ciencia: temas y tendencias de investigación de un paradigma emergente
Jiménez-Loaisa, F. J., Jareño-Ruíz, D., & De-Gracia-Soriano, P. (2025) · Revista Española de Documentación Científica · doi:10.3989/redc.2025.3.1676
“Basándose en esta escala y en las tres dimensiones de la confianza definidas por Mayer et al. (1995), a saber, experticia, integridad y benevolencia, Hendriks et al. (2015) desarrollaron el Muenster Epistemic Trustworthiness Inventory (METI), que recoge las dimensiones anteriores, adap - tadas al…”
When Scientists Speak Up: Trustworthiness in Advocacy Contexts
Hubner, A. Y. (2025) · Environmental Communication · doi:10.1080/17524032.2025.2597443
“…or the extent to which their motivations serve societal rather than self-interests (Whyte & Crease, 2010) These three components – expertise, integrity, and benevolence – comprise epistemic trust and are measured using the Muenster Epistemic Trustworthiness Inventory (METI; Hendriks et al., 2015).”
InfluentialJungmann, M., & Lazarova‐Molnar, S. (2025) · Winter Simulation Conference · doi:10.1109/wsc68292.2025.11338972
“To only integrate sub-parameters in CharacteristicTrust(E i ) with a high influence on trustworthiness, we select only sub-parameters that are assigned an influence value of greater 0.8 from Hendriks et al. (2015).”
InfluentialCausal effects of expressed distrust in scientists on compliance intentions
Breitbeck, A. (2025) · Cultures of Science · doi:10.1177/20966083251411637
“Science-communication scholars similarly conceptualize cognitive trust as a function of perceived expertise, integrity and benevolence (Hartman et al., 2017; Hautea et al., 2024; Hendriks et al., 2015; Bromme et al., 2022).”
Mad Scientists, Bad Impressions?
Lerner, B., Bonus, J., & Lynch, T. (2025) · Journal of Media Psychology · doi:10.1027/1864-1105/a000497
Yeo, S. K., Freiling, I., Yeon, J., et al. (2025) · Science communication · doi:10.1177/10755470251345746
“Drawing on Besley et al. (2021) and Hendriks et al. (2015), we measured the dimensions of expertise (“qualified,” “intelligent,” “knowledgeable,” and “expert”), integrity (“polite,” “like they would listen well to others,” “like they would welcome feedback,” and “like they are telling the whole…”
Wicke, R., Ratcliff, C. L., Fleerackers, A., Wang, Y., King, A. J., & Jensen, J. D. (2025) · Risk Analysis · doi:10.1111/risa.70071 · Cited by 1
“Disclosing uncertainty or tentative-ness about one’s research could signal honesty and goodwill, thus enhancing evaluations of integrity and benevolence (Hendriks et al., 2015, 2016).”
Londra, F., Martínez, M., & Saux, G. (2025) · Metacognition and Learning · doi:10.1007/s11409-025-09427-z
“Here we will define trustworthiness evaluations as an epistemic activity, consisting of assessing whether the source has the competence, integrity, and intentions to share reliable information (Hendriks et al., 2015; Sperber et al., 2010).”
Krause, T. A. (2025) · dms – der moderne staat – Zeitschrift für Public Policy Recht und Management · doi:10.3224/dms.vxix.403989
What drives positive science festival evaluations?
Tiffany, L. A., Besley, J. C., & Peterman, K. (2025) · International Journal of Science Education Part B · doi:10.1080/21548455.2025.2488398
“Trust questions were adapted from the literature (Besley et al., 2021; Colquitt & Rodell, 2011; Fiske & Dupree, 2014; Hendriks et al., 2015; McCroskey & Young, 1981) with a focus on finding trustworthiness-related questions that made sense for a presentation context and a short questionnaire,…”
InfluentialDeveloping a scale to measure epistemic trust in open educational resources (OERs)
Pandey, C. S., Pandey, S., Mishra, P., & Pandey, S. (2025) · The Electronic Library · doi:10.1108/el-09-2024-0265
Navigieren im Fluss sich wandelnder Technologien
Raudonat, K., & Mayweg-Paus, E. (2024) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/61/2024.12.12.x · Cited by 4
Barański, J., & Smereka, J. (2024) · Kwartalnik Historii Nauki i Techniki · doi:10.4467/0023589xkhnt.24.013.19818 · Cited by 1
Trust and Mistrust in the MMR Vaccine: Finding Divergences and Common Ground in Online Communication
Fage-Butler, A. (2024) · Sats: northern european journal of philosophy · doi:10.1515/sats-2023-0014
Radell, M. L., & Thompson, W. B. (2024) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218241242127
“Future research could also include a measure of how much people trust experts (Hendriks et al., 2015).”
Hanimann, A. (2023) · Evidence & Policy · doi:10.1332/174426423x17003139456567 · Cited by 1
Trust in social media is associated with misperceptions about COVID-19
Thaker, J. J., & Ganchoudhuri, S. (2023) · Health & New Media Research · doi:10.22720/hnmr.2023.00031 · Cited by 2
“While trust has been a central component is several science communication studies, there is a “conceptual confusion” (Lewis & Weigert, 1985, p. 975) about the definition of trust (see Schäfer, 2016; Hendriks et al., 2015).”
BackgroundHyvinvointi-, hius- ja kauneusalan ammatteihin opiskelevat kriittisinä nettilukijoina
Lavi, R., Räikkönen, E., & Kiili, C. (2023) · Informaatiotutkimus · doi:10.23978/inf.127183 · Cited by 2
Scaling Up: First insights into the accompanying research "Plastic Pirates - Go Europe!"
Knapp, V., van den Bogaert, V., & Wirth, J. (2023) · Australasian Computer Science Conference · doi:10.22323/1.407.0011
“To measure trust in scientists we used the Muenster Epistemic Trustworthiness Inventory (METI; [2]) and to assess environmental awareness we utilized the New Ecological Paradigm (NEP; [1]).”
Gubitosa, C., & Domingo, D. (2022) · Research for All · doi:10.14324/rfa.06.1.09 · Cited by 2
Schneider, J., Merk, S., Rosman, T., et al. (2020) · doi:10.23668/psycharchives.4377
Schneider, J., Merk, S., & Rosman, T. (2019) · doi:10.17605/osf.io/vgbrs
Auto-encoder based cognitive analysis of questionnary
Akay, S., Korkmaz, H., & Arıca, N. (2018) · Signal Processing and Communications Applications Conference · doi:10.1109/siu.2018.8404485
“[1] Hendriks, Friederike, Dorothe Kienhues, and Rainer Bromme.”
InfluentialImproving Trust in Science Through Communication? The Role of Mediating and Moderating Factors
Wintterlin, F. (2025) · International Journal of Public Opinion Research · doi:10.1093/ijpor/edaf055 · Cited by 2
Kuutila, M., Kiili, C., Kupiainen, R., et al. (2023) · arXiv.org · doi:10.48550/arxiv.2303.09656
Technical Communication in Videos on the Example of Blockchain
Rodler, M. (2020) · doi:10.34726/hss.2020.75363
“published further articles [34][35] about the trust, that laypeople must put in experts in videos.”
BackgroundWoolliscroft, J. (2020) · doi:10.1016/b978-0-12-819620-5.00003-5
Wond, T. (2020) · The Institutionalisation of Evaluation in Europe · doi:10.1007/978-3-030-32284-7_10
Metadata
- Authors
- Hendriks, F., Kienhues, D., & Bromme, R.
- Affiliations
- University of Münster (DE)
- Corresponding author
- Hendriks, Friederike
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-10-16
- Volume
- 10
- Issue
- 10
- Pages
- e0139309
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4608577
- OpenAlex
- W2218357479
- Cited by
- 373
- References
- 61
- Citations by year
- 2026: 46 · 2025: 66 · 2024: 66 · 2023: 36 · 2022: 66 · 2021: 31 · 2020: 25 · 2019: 13 · 2018: 12 · 2017: 6 · 2016: 6
- FWCI
- 20.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Deutsche Forschungsgemeinschaft (1712/1, GRK1712, 175526080)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Keywords
- epistemic trustworthiness, trust in experts, laypeople, expertise, integrity, benevolence, online information sources, source evaluation, scientific information, scale development, public trust in science
- MeSH terms
- Adult, Female, Humans, Male, Middle Aged, Models, Theoretical, Comprehension, Information Dissemination, Trust
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 ›
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