Jul 2026· Media and Communication· Vol 14· 0 citations· 44 references
TL;DR
This article introduces the innovative concept of a “community data trustee” (CDT), a research infrastructure aimed at fostering collaboration and the sharing of research data, such as digital account lists, as a collective research infrastructure that promotes the shared use of extensive account lists.
Abstract
Data sharing poses a major challenge for digital media and communication research, particularly in sensitive areas such as far-right online studies. This article introduces the innovative concept of a “community data trustee” (CDT), a research infrastructure aimed at fostering collaboration and the sharing of research data, such as digital account lists. Compiling these lists is a critical yet labor-intensive step in many research projects; sharing them could significantly reduce effort and improve data quality. However, especially in sensitive research areas, sharing remains rare due to legal uncertainties and limited incentives. This hinders the traceability and comparability of research findings and threatens overall research quality. To address these challenges, we introduce the CDT as a collective research infrastructure that promotes the shared use of extensive account lists. The CDT views actor directories as a communal asset, developed and utilized based on mutually agreed-upon guidelines. A principle of reciprocity underpins this model: Those who access the lists also contribute to their updates and expansions, returning them to the data pool. An online portal facilitates the exchange and collaborative maintenance of the data. The setup of the CDT includes appropriate technical measures to ensure compliance with data protection and security standards, along with a robust regulatory framework that creates a legally secure environment for sharing personal data. This approach aims to (a) incentivize data sharing, (b) foster trust and legal certainty among research projects, (c) enhance data quality through ongoing maintenance, and (d) enhance researcher safety.
This work inductively identifies five key dimensions of incentive mechanisms and five categories of influencing factors that may shape their effectiveness and users’ data sharing behavior and proposes a conceptually grounded typology comprising eight ideal types of incentive mechanisms.
Aaron Witzki, K. V. Carl, Constantin Brîncoveanu et al.· Management Review Quarterly· 0 citations
Thematic analysis reveals that online communities function as decentralised knowledge ecosystems where trust is collectively constructed through peer-led learning, emotional responses to risk and the use of cognitive heuristics in evaluating digital threats.
Wafeequa Ben· European Conference on Knowl...· 0 citations
The findings demonstrate that the trust formation is differentiated across multiple trust targets and shaped by context-specific antecedents and perceived risks, and that trust relationships are interdependent across targets.
Increasingly, researchers who receive public funding for their research are expected to make their research data publicly available. However, research fields differ in their epistemic practices and norms for publicly sharing research data. The strong variation by field is confirmed by our analysis of data from the DZ...
The proposed assistant concept functions as a shared “knowledge navigator” over collaboration documents: it answers questions with traceable sources, surfaces knowledge gaps in the underlying corpus, guides onboarding and participation decisions, and supports agreement drafting and review by generating text while flagg...
Louise van der Peet, Nitesh Bharosa, M. Janssen· EGOV-CeDEM-ePart 2026· 0 citations
It is suggested that Xiaohongshu should not only pursue short-term commercial growth but achieve long-term development by maintaining authentic content and protecting user trust by maintaining authentic content and protecting user trust.
Ying Liu· Advances in Economics, Manag...· 0 citations
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