23 pages., via online journal, Cultured meat has yet to reach store shelves but is nonetheless a growing issue for consumers, producers, and government regulators, many of whom have taken to social media to discuss it. Using a conceptual framework of social cognitive theory and issues management, this qualitative content analysis investigated social-media discourse surrounding the topic of cultured meat in the United States by describing the content of the discussion in late 2018 and identifying individual influencers and communities of influencers engaged in the discussion. Data were collected from Twitter using listening platform Sysomos MAP. The thematic analysis revealed eight themes: legality and marketing, sustainability, acceptance, business, animal concerns, science and technology, health concerns, and timeline, and indicated that conflicting views and questions about cultured meat exist among conversation participants. Top influencers included philanthropists, government officials, journalists and writers, and animal-welfare advocates. These influencers were grouped into four distinct communities based on interactions with each other and other users. The topics identified in the analysis provide insight into ways in which communicators can enter these conversations, and influencer communities represent groups of users whose broad reach could more easily transmit pro-agriculture messages.
14 pages., via online journal., Issue arenas, as places for societal discussions, have recently been studied as an important aspect of organizational environments. While a fundamental part of any issue arena is the distinction between active and passive actors, empirical analyses have mainly focused on active stakeholders. We approach issue arenas as communication networks in which active stakeholders discuss topics and involve passive stakeholders. Based on network theory, we introduce an automated method for mapping these issue arenas on Twitter. In particular, we combine manual coding of active stakeholders, and automated semantic network analysis of addressed, passive stakeholders and their topics of discussion. Empirically, we focus on the issue of bird flu affecting poultry farming in the Netherlands from 2015 to 2017 with a sample of 704 Twitter messages. Instead of pre-defining a set of stakeholders for the analysis, our approach to study communication networks in online settings allows for mapping issue arenas based on the stakeholders that communicate about the topic.
20 pages., via online journal., In a crisis situation, communication is an important asset for safeguarding the reputation of an organization. The communication strategy that is used in a crisis influences the way people perceive the crisis. While extensive research is conducted and clear communication guidelines about crisis communication are provided, current research tends to focus on a single actor in a crisis within a homogeneous stakeholder group. In this article, we analyze whether and how different groups of stakeholders frame a crisis and the extent to which they attribute responsibility for the crisis to actors. The case concerns the use of an illegal lice detergent (fipronil) in eggs in the Netherlands in the summer of 2017. Based on the analysis of Twitter data related to the case using multiple methods (network analysis, a longitudinal analysis and the annotation of a sample of tweets), this study shows that a seemingly simple case in a single sub-arena has different subgroups that use different frames and attribute different responsibilities to different stakeholders. This result implies that a reconsideration of communication strategies during and after a crisis is needed.