Cited by 102Blockchain Technology Applications and SecurityTechnology Adoption and User BehaviourPrivacy, Security, and Data Protection

The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index; none of the 26 sources its claims cite is checked for support yet.

Understanding the creation of trust in cryptocurrencies: the case of Bitcoin

Open access

Abstract

Contemporary cryptocurrencies lack legal, monetary, and institutional backing that traditional financial services employ. Instead, cryptocurrencies provide trust through technology. Despite the plethora of research in both trust and cryptocurrencies, the underlying attributes of the technologies that drive trust in cryptocurrencies are not well understood. To uncover these attributes, we analyze the corpus of 1.97 million discussion posts related to Bitcoin, the oldest and most widely used cryptocurrency. Based on earlier research, we identified functionality, reliability, and helpfulness as the focal constructs with which to evaluate users’ trust in technology. In our analysis, we discovered 11 different attributes related to three technology constructs that are significant in creating and maintaining users’ trust in Bitcoin. The findings are discussed in detail in the article.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Analyzes 1.97 million Bitcointalk discussion posts using doc2vec to identify technology attributes that create trust in Bitcoin. It finds 11 attributes across functionality, reliability, and helpfulness, with transfers, immutability, and openness semantically closest to trust.

Key findings

  • The analysis identified 11 trust-related attributes: functionality (transfer, decentralization, immutability, openness), reliability (stability, regulation, security, knowledge), and helpfulness (investment, profits, alternative currency).
  • Trust was semantically closest to transfers, immutability, and openness; immutability and openness are described as unique blockchain attributes that create accountability and transparency.
  • Example similarity scores reported include transfer [0.64], decentralization [0.65], immutability [0.54], openness [0.54], stability [0.63], regulation [0.63], knowledge [0.61], investment [0.66], profits [0.59], and alternative currency [0.58].
  • Users often viewed Bitcoin as an investment or alternative currency, while volatility, security of wallets/exchanges, regulation, and knowledge were linked to reliability.

Methods

  • Data: scraped Bitcointalk.org general discussions covering legal, press release, meetups, and important announcements; corpus of close to 1.97 million posts written between March 1, 2012, and September 21, 2018.
  • Text modeling: used doc2vec (Le and Mikolov 2014) via Python Gensim; trained three variants and selected paragraph vector with distributed bag of words (PV-DBOW) with document and word vectors trained together. Parameters: vector size 300, context window 10, minimum word frequency 5, epochs 50.
  • Analysis: extracted top 50 posts per keyword representing functionality, reliability, and helpfulness; read and analyzed 850 posts to identify attributes; computed pairwise cosine similarities and visualized a semantic proximity network.

Limitations

  • Stated: the forum includes both actual Bitcoin users and non-users, so identified trust attributes are not exclusively based on users with real experience; the authors also lack information on members’ technical skills or understanding, so findings reflect varying interest, experience, and technical knowledge.
  • Evident from the text: reliance on a single online forum and semantic similarity from discussion posts, rather than survey or behavioral measures, limits generalizability and causal claims about trust.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1007/s12525-019-00392-5

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

24 Not checked yet · 21 No basis given · 12 Own result · 10 Own interpretation · 9 Own method

Verify all 26 references — free account

Show all 27 claims

  • It may state two separate claims as one. 18
  • Probably not a substantial claim. 40
49 of 49
  • The paper relies on this without support.

    Trust is crucial to financial transactions and payments.

    “Trust is crucial to financial transactions and payments.”
  • The paper relies on this without support.

    Bitcoin and all other cryptocurrencies are yet to obtain legal status as an investment option in many countries.

    “Third, Bitcoin and all other cryptocurrencies are yet to obtain legal status as an investment option in many countries.”
  • The paper relies on this without support.

    The value of cryptocurrencies is extremely volatile.

    “Finally, the value of cryptocurrencies is extremely volatile for a wide variety of reasons, including cyber-attacks on cryptocurrency wallets (i.e., software that stores private and public keys needed to send and receive cryptocurrency), and exchanges (i.e., online intermediaries that help buy, sell, or exchange cryptocurrencies for other currencies).”
  • The paper relies on this without support.

    The BitcoinTalk forum discussions are representative of the broader Bitcoin community's trust-related discourse.

    “We base our analysis on the Bitcoin-related discussion posts collected from BitcoinTalk forum for two important reasons.”
  • The paper relies on this without support.

    The keywords derived from the literature adequately represent the constructs functionality, reliability, and helpfulness in the cryptocurrency context.

    “To search for the constructs, we listed the keywords representing functionality, reliability, and helpfulness in the context of blockchain technology and cryptocurrencies, from the literature.”
  • The paper relies on this without support.

    Bitcoin is the oldest and the most widely used cryptocurrency in the market.

    “we decided to focus on Bitcoin, because it is the oldest and the most widely used cryptocurrency in the market.”
  • The paper relies on this without support.

    The technology trust model with constructs functionality, reliability, and helpfulness is applicable to trust in cryptocurrencies.

    “we employed the technology trust model proposed by Lankton et al. (2014) and focused on three distinct trust constructs: functionality, reliability, and helpfulness.”
  • The paper relies on this without support.

    The doc2vec paragraph vector model produces semantic representations that meaningfully capture trust-related attributes in forum posts.

    “The analysis drew on a paragraph vector model termed doc2vec (Le and Mikolov 2014), which produces a semantical representation of words and posts.”
  • The paper relies on this without support.

    Semantic similarity between word vectors corresponds to conceptual proximity relevant to trust.

    “we can use these vectors to compute semantic similarities.”
9 of 9

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?

Citations

Cites

Show all 43 references

Research works printed but not linked: 4

  1. Berke, A. (2017). How safe are Blockchains? It Depends. Harvard Business School Press.
  2. Davidson, J., & Naveed, M. (2013). The Digital Coin Revolution-Crypto Currency-How to Make Money Online. (E. B. Series, Ed.) (1st ed.). JD-Bix Publishing.
  3. Jarvenpaa, S. L., & Teigland, R. (2017). Trust in digital environments: from the sharing economy to decentralized autonomous organizations. Hawaii International Conference on System Sciences, (2017), 5812–5816.
  4. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An Ingetrative model of organizational trust. Academy of Management, 20(3), 709–734.

Cited by

Sorted by citations

See all 102

Metadata

Authors
Marella, V., Upreti, B., Merikivi, J., & Tuunainen, V. K.
Affiliations
  • Aalto University (FI)
  • Grenoble Ecole de Management (FR)
Corresponding author
Marella, Venkata
Venue
Electronic Markets
Published
2020-01-09
Volume
30
Issue
2
Pages
259-271
ISSN
  • 1019-6781 (ISSN-L)
  • 1422-8890
OpenAlex
W2999582630
Cited by
96
References
43
Citations by year
2026: 8 · 2025: 18 · 2024: 22 · 2023: 16 · 2022: 19 · 2021: 9 · 2020: 4
FWCI
11.29
Type
journal article
Language
en
Open access
Locations
  • Electronic Markets (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Aaltodoc (Aalto University) (submittedVersion, cc-by)
Funders
Aalto University
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
trust in technology, cryptocurrency, Bitcoin, user trust, technology attributes, functionality, reliability, helpfulness

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.

A language model drew the claims from the paper on 2026-10-08, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-08 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

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