Conventional quantitative methods for the measurement of organizational legitimacy consider mainly three sources that make judgments about organizations visible: news media, accreditation bodies, and surveys. Over the last decade, however, social media have enabled ordinary citizens to bypass the gatekeeping function of these institutional evaluators and autonomously make individual judgments public. This inclusion of voices beyond functional and formally organized stakeholder groups potentially pluralizes the ongoing discussions about organizations. The individual judgments in blogs, tweets, and Facebook posts give indication about (...) the broader fit between an organization’s perceived behavior and heterogeneous social norms and therefore constitute an indicator of organizational legitimacy that can be accessed and measured. We propose the use of social media data and sentiment analysis to study the affect-based responses to organizational actions by citizens. We critically discuss and compare the method with existing quantitative methods for legitimacy measurement and apply them to a recent case in the banking industry. We discuss the value of the method for studying the process of legitimacy construction as the expression and negotiation of normative judgments about organizations by various evaluators. (shrink)

We are at a turning point in the debate on the ethics of Artificial Intelligence (AI) because we are witnessing the rise of general-purpose AI text agents such as GPT-3 that can generate large-scale highly refined content that appears to have been written by a human. Yet, a discussion on the ethical issues related to the blurring of the roles between humans and machines in the production of content in the business arena is lacking. In this conceptual paper, drawing on (...) agenda setting theory and stakeholder theory, we challenge the current debate on the ethics of AI and aim to stimulate studies that develop research around three new challenges of AI text agents: automated mass manipulation and disinformation (i.e., fake agenda problem), massive low-quality content production (i.e., lowest denominator problem) and the creation of a growing buffer in the communication between stakeholders (i.e., the mediation problem). (shrink)

Can citizens impact the broader discourse about an organization and its legitimacy? While social media have empowered citizens to publicly question firms through large volumes of online evaluations, the high heterogeneity of their evaluations dilutes their impact. Our empirical study applying a threshold vector autoregressive model (TVAR) analysis of 2.5 million tweets and 1,786 news media articles tests the condition by which the heterogeneity of online evaluations converges and influences the broader media discourse. Although social media evaluations do not initially (...) influence media legitimacy, they become influential after reaching a tipping point of refracted attention, which is created by high volume and convergence of individual evaluations around few aggregative frames. Thus, social media storms may influence the broader discourse about an organization when this discourse converges and reaches a tipping point, rather than merely through the massive participation of citizens. (shrink)

In this paper, we examined how companies are employing new media to engage in dialogue with their stakeholders about corporate social responsibility -related matters. Through a qualitative theory-building study conducted in three stages over a period of 2 years, we discovered that corporations with reputations for CSR have built virtual spaces for dialogue about CSR, but that these spaces remain empty of dialogue. Our theory-building model highlights how the mix of four dialogue processes may allow companies to create open dialogue (...) about CSR initiatives and avoid leaving these spaces empty. Contributions for CSR studies are discussed. (shrink)