In the era of digital platforms, where interactions between individuals can occur without direct relationships, building trust becomes a crucial element for success. A recent study I conducted with Aks Zaheer, Michael Park, Bill McEvily, and Mani Subramani, published in Management Science, explores a new concept called “prismatic trust” to explain how, in a digital network and without direct or even indirect contacts, some actors manage to accumulate more trust than others.
This trust derives from structural and behavioral signals that the networks themselves reflect like a prism. This phenomenon has important implications for managers operating in increasingly interconnected digital environments. While structural signals are difficult to influence, individuals can govern behavioral signals.
Our research concentrates on the phenomenon of social trading. First of all, traditional trading platforms provide the public with an online tool that allows them to buy and sell financial instruments, enabling them to autonomously operate in the markets. On social trading platforms instead, users can choose to copy the strategies and transactions of other traders, putting part of their financial portfolios in the hands of these operators – an unmistakable signal of trust.
In organizational literature, trust is generally interpreted as a phenomenon based on direct interactions between two subjects, neglecting the dynamics of trust that are generated within a network. Our work introduces a new approach, focusing on the fact that the social network can act as a prism that filters and amplifies signals, both structural and behavioral, and these signals can influence the creation of trust among people.
Here are the central questions that drove our research: Why are some actors operating within social networks perceived as more trustworthy than others? And how do people build trust toward an individual they do not know personally?
The empirical part of our research studied a social trading platform that today counts more than 20 million traders. Our random sample consisted of 28,000 active traders, which we analyzed over 38 weeks. On this platform, traders can “follow” or “copy” the actions of other users; if they opt to “copy,” then the decisions of the copied trader are automatically applied to the portfolio of the copier. For example, if Trader Alpha decides to copy Trader Beta and Trader Beta buys Stock X, that decision is automatically applied to trader Alpha, who will find Stock X in their investment portfolio. Clearly, the decision to copy a trader reflects the trust placed in that individual.
By analyzing the network structure and the behaviors of traders (such as the expression of positive sentiments in messages), we identified two main mechanisms that explain the accumulation of trust: social position and behavioral signals.
The term “prismatic trust” derives from the idea that, within a network, trust is not based solely on direct interactions but on signals that the network itself reflects like a prism. Just as a prism breaks down light into various colors, social networks break down and amplify different trust signals (structural and behavioral), making them visible to a much larger number of observers than bilateral interactions.
This prismatic view departs from traditional trust models, which focus on mechanisms based on direct exchange relationships or indirect signals through intermediate connections. The prismatic trust model introduces a new perspective, emphasizing how digital social networks, particularly those with high public visibility like social trading platforms, allow the generation of trust on a large scale, even among actors who are not directly connected.
Our research demonstrates that, in networks where reactions are mediated by digital technologies, trust does not accumulate only through direct knowledge. It also accrues thanks to the signals that the network structure and the visible behavior of actors transmit. In complex business or platform contexts, where direct interactions are limited, it is essential to develop strategies that facilitate trust building. In this sense, as in the case in question, when information and the structure of following and copying relationships become visible, prismatic trust is possible.
In social networks and online business communities, understanding how to improve public trust through structural and behavioral signals could lead to more effective reputation and networking management strategies. To the extent that status within the network is largely beyond the control of individual actors, the expression of positive sentiments can represent a relatively more accessible way to accumulate trust.
Giuseppe Soda, Aks Zaheer, Michael Park, Bill McEvily, and Mani Subramani. “Prismatic Trust: How Structural and Behavioral Signals in Networks Explain Trust Accumulation.” Management Science, Published Online in Articles in Advance: August 27, 2024. DOI: https://doi.org/10.1287/mnsc.2021.02810.
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