Salla-Maaria Laaksonen

Working the fields of big data: Using big-data-augmented online ethnography to study candidate–candidate interaction at election time

ABSTRACT The paper proposes big-data-augmented ethnography as a novel mixed-methods approach to studying political discussions in a hybrid media system. Using such empirical setup, the authors examined candidate–candidate online interaction during election campaigning. Candidate–candidate interaction crossing party boundaries is scarce and occurs in the form of negative campaigning via social media, with the shaming of rival candidates and engaging in battles with them. The authors posit that ethnographic observations can be used to contextualize the computational analysis of large data sets, while computational analysis can be applied to validate and generalize the findings made through ethnography.

Social Media Is Polarized, Social Media Is Polarized: Towards a New Design Agenda for Mitigating Polarization

Social media platforms have often been described as online spaces supporting political discourse. However, online discussions are often polarized; people tend to commune with those who are ideologically similar to them. The HCI response to this phenomenon has been to purposefully expose people to diverse viewpoints. This common design agenda is supported through analysis of link sharing, yet little attention has been paid to how users discuss these links. Therefore, the common design agenda may not mitigate polarization. We study the emergent discourse in 10 Finnish migration-related Facebook groups and examine how the same links are shared and discussed across anti- and pro-migration camps. Qualitative analysis of the posts and comments revealed that shared media links do not bridge polarized groups with regard to worldviews and opinions. We then demonstrate alternative design opportunities to resolve this issue and begin to develop a new design agenda to mitigate polarization.

Networked publics as agents of accountability: Online interactions between citizens, the media and immigration officials during the European refugee crisis:

This study examines how citizens made use of online platforms to direct diverging critiques and demands at the Finnish Immigration Service during what has come to be known as the refugee crisis in Europe. Focusing on peak periods of debate, identified using big data, we closely observe how public scrutiny of the immigration service occurred in the interactions between online users, the news media and the agency itself. Our analysis indicates that networked publics can be regarded as influential drivers of accountability for government agencies, which often feel obligated to justify their actions to these publics. However, the operation of networked publics as accountability agents remains heavily dependent on the broader public debate, which is still largely shaped by news media organisations, political elites and the officials themselves.

Casting Roles to Stakeholders – A Narrative Analysis of Reputational Storytelling in the Digital Public Sphere

ABSTRACT This article presents a narrative study of stakeholder positions, storytelling agency, and power in the digital public sphere as seen by organizational actors. According to the institutional approach, corporations and their reputations are enacted, sustained, and altered by their external stakeholders. This article posits that, in the online public sphere, corporate reputations are formed by narratives, in which stakeholders take different positions on intended actions. Using a qualitative data set derived from seventeen interviews with communication and risk management professionals, these positions were analyzed using a Burkean pentadic analysis combined with the Stakeholder Saliency Model. Using pentadic ratios, seven different narrative stakeholder positions were identified: Information seeker, Influencer, Pressurer, Communicator, Mender, Monitor, and Intermediator. These positions were taken by different actors, such as individual users, communities, online media and the organization itself. Analyzing the attributes of power, legitimacy and urgency related to these positions three transformations were identified: mobilizing crowds, issue recognition, and scene transformation. The proposed model helps to identify the different stakeholders in the digital communication sphere and to understand their agency through their narrative positions.