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The Role of Trustworthiness Facets for Developing Social Media Applications: A Structured Literature Review

Angela Borchert ; Maritta Heisel (2022) — Information

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Synopsis

This publication presents a structured literature review on trustworthiness facets relevant to developing social media applications that involve computer-mediated introductions (CMIs). The authors aim to identify attributes users assess to judge the trustworthiness of three trustee types—individual users, organizations (e.g., service providers), and the CMIs themselves (the software). They argue that such assessments influence decisions to interact and perceived safety, and they seek to support software engineers with a guideline for selecting appropriate facets during requirements analysis. The study synthesizes 264 works, ultimately analyzing 100 that clearly defined trustworthiness facets, and organizes these facets into three tables corresponding to the trustee types, with definitions and connections to broader trust research. Methodologically, the authors describe a data-collection process that screens literature for facets tied to perceived trustworthiness or trust development, and they document facets that recur across contexts such as online dating, e-commerce, and platform regulation. They distinguish facets related to observable operation of technology from broader quality attributes, and they present a guideline for facet selection grounded in design thinking. The guideline is illustrated through a catfishing use case in online dating, showing how facets such as honesty, predictability, and integrity can inform feature design and user signaling. The discussion covers how trustworthiness facets relate to initial trust and knowledge-based trust in CMIs, potential software features to support trust assessments (e.g., profile authentication cues, gradual self-disclosure), and the risks of facet misuse by users or providers. The authors also acknowledge limitations, including resource constraints that limited engagement with user perspectives, and they emphasize the need to maintain neutral presentation of facets to avoid misrepresentation. They conclude that a facet-based view can help engineers design features that support rather than mislead trust assessments, while noting the potential for future research on facet interdependencies. The article ends by reiterating the value of the guideline for practitioners and researchers.

Identified Gaps

Research on trustworthiness facets in social media, particularly computer-mediated introductions, remains emerging. The review does not establish which facets have the greatest effect on trustworthiness assessment or trust development. The interdependence of facets across individuals, platforms, and service providers also requires study. The applicability of facets transferred from other domains to social media and online dating needs validation.

Methods

This structured literature review followed PRISMA-P reporting principles and the literature-review guidance of vom Brocke et al. Searches of Scopus, Web of Science, two specialist journals, and backward and forward citation trails used 13 keyword-search rounds. Of 264 publications from 1957–2021, 100 were retained after exclusions. The authors grouped semantically similar trustworthiness facets for individuals, technology, and organizations, then proposed a design-thinking-based selection guideline and illustrated it using catfishing in online dating.

Limitations

The practical usefulness of the facet overview and the selection guideline has not yet been evaluated. Because social-media and computer-mediated-introduction research is emerging, the review included facets from broader domains; their context-dependent applicability to social media requires validation. The review did not rank facets by their relative influence on trust or trustworthiness, largely because reviewed studies usually did not provide that information. The catfishing illustration did not include a direct user study.

Future Work

Validate the applicability of the facet overview to social media and computer-mediated introduction contexts, and evaluate the guideline’s practicability and efficiency. Develop and test a structured method for deriving software features that support users’ trustworthiness assessments from identified facets. Research should also address technical detection and prevention of ethical violations and misleading trustworthiness presentations.

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