Fuelling the Subsidized Public

2021 ◽  
Vol 46 (4) ◽  
Author(s):  
Robert Neubauer ◽  
Nicholas Graham

Background: This article explores the Facebook communications of Canadian oil and gas advocacy organizations, including industry-funded and nominally independent groups.  Analysis: These groups are analyzed as producers of “subsidized publics,” with elites providing supporters with resources that enable them to take political action on industry’s behalf. A social network analysis maps how they link supporters with information from diverse sources, constructing networked publics whose members can recirculate pro-industry talking points. Conclusions and implications: These communications enact powerful forms of network-making power, programming an interconnected echo chamber that interfaces supporters with material from neoliberal extractivist discourse coalitions—networks of industry advocates that industry has itself helped cultivate over decades. Contexte : Cet article explore les communications sur Facebook faites par des organismes soutenant l’industrie pétrolière au Canada, y compris des groupes financés par l’industrie elle-même et des groupes prétendument indépendants. Analyse : L’article analyse ces groupes en tant qu’engendreurs de « publics subventionnés », où une élite accorde des ressources à des partisans de l’industrie afin qu’ils s’engagent politiquement pour le compte de celle-ci. Une analyse des réseaux sociaux montre comment ces partisans fournissent de l’information provenant de sources différentes à un public favorable à l’industrie pétrolière, créant ainsi des réseaux dont les membres peuvent à leur tour rediffuser des éléments de langage appuyant l’industrie. Conclusions and implications: Les communications de ces partisans sont puissantes dans leur capacité à former des réseaux, encourageant des échanges en vase clos qui exposent les participants à des informations provenant de coalitions d’extractivistes néolibéraux. Quant à ces derniers, c’est l’industrie elle-même qui a cultivé leurs opinions pendant des décennies.  

2015 ◽  
Vol 6 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Iraj Mohammadfam ◽  
Susan Bastani ◽  
Mahbobeh Esaghi ◽  
Rostam Golmohamadi ◽  
Ali Saee

INTEGRITAS ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 121-142
Author(s):  
Wigke Capri ◽  
Devy Dhian Cahyati ◽  
Mahesti Hasanah ◽  
Dias Prasongko ◽  
Wegik Prasetyo

Corruption action develops way more advance compare to corruption studies in Indonesia. Corruption studies are mostly focusing on institutional corruption or using an institutional approach to understand corruption. This research offers to understand corruption better using actor-based and network approaches. Utilising social network analysis (SNA), researchers unpacking corrupt relational actors in natural resources, especially in oil and gas and forestry in Indonesia. We collected six important findings;  corruption creates dependencies amongst actors; to be corrupt, an actor must have a strong network and resources that can offer and deliver multi-interests. Corrupt action is a repeated action that creates interlocking relations amongst actors. Interlocking relation serves as a safety belt for each chauffeur. Institutionalisation of corrupt networks only requires a strong corrupt network. The institutionalised corrupt networks shape a shortcut both for the private and public sectors-a short cut that makes bribery and exchange permits possible.


2019 ◽  
Vol 1 (2) ◽  
pp. 45-59
Author(s):  
Kayla Schwoerer

This study employs social network analysis to examine more than 10,000 Twitter interactions that include the U.S. Freedom of Information Act hashtag (#FOIA) to understand who is engaging online, and to what extent. The analysis finds evidence of a dynamic conversation online among citizens, journalists, advocates, and public agencies. Findings offer insights into how citizens are using social media to engage with government and one another in conversations around important public policies, such as government transparency, as well as how technologies such as social media can be leveraged to better understand citizens’ interest. The study also found a significant increase in tweets during national Sunshine Week, a vehicle that increases national dialogue about FOI, and highlights effective social media strategies employed by MuckRock and other advocacy organizations.


2018 ◽  
Vol 33 (2) ◽  
Author(s):  
Joanne Genova Carman ◽  
Kimberly A Fredericks

As the use of social network analysis in evaluation continues to increase, it is important to understand how, when, and under what conditions social network analysis can add value to evaluation work. In this article, we describe how we have used social network analysis in various evaluation projects. Using the experience of one specific project, we highlight, in greater detail, some challenges we encountered in doing this work, relating to the need for stakeholders to understand the added value of social network analysis, the intricacies of data coding and cleaning, and how changes in the size and scope of the project can have great implications. Finally, we offer some practical suggestions for evaluators considering incorporating social network analysis into their work today, and identify opportunities where evaluators might use social network analysis in the future.Avec la croissance de l’utilisation, en évaluation, de l’analyse des réseaux sociaux, il est important de comprendre quand, comment, et dans quelles conditions l’analyse des réseaux sociaux apporte une valeur ajoutée. Dans le présent article, nous décrivons la façon dont nous avons utilisé l’analyse des réseaux sociaux dans le cadre de divers projets d’évaluation. À partir de l’expérience d’un projet particulier, nous décrivons, de façon détaillée, certains des défis auxquels nous avons fait face, notamment en ce qui concerne la nécessité, pour les parties prenantes, de comprendre la valeur ajoutée de l’analyse des réseaux sociaux, les complexités du codage et du nettoyage des données et les implications des changements dans la taille et la portée du projet. Finalement, nous faisons quelques suggestions pratiques pour les évaluateurs qui pensent inclure l’analyse des réseaux sociaux dans leurs travaux actuels et nous identifions des pistes, pour les évaluateurs, pour l’utilisation future de ce type d’analyse.


2018 ◽  
Vol 25 (8) ◽  
pp. 968-998 ◽  
Author(s):  
Megan R. Greeson ◽  
Jennifer Watling Neal ◽  
Rebecca Campbell

The current study used social network analysis (SNA) to examine relationships within three effective Sexual Assault Response Teams (SARTs) that coordinate the response of legal, medical, and advocacy organizations to sexual assault. Within each SART, organizations reported on each other member organization valuing their role, serving as a resource to their work, and communication outside of official meetings. Across the SARTs, there was high connectedness and reciprocity and low to moderate dependence on one organization to drive relationships. However, there was dependence on a subgroup of organizations to drive additional communication relationships. Implications for managing relationships in SARTs are discussed.


Author(s):  
Marie-Pierre Bès ◽  
Guillaume Favre ◽  
Claire Lemercier

Sources and data for social network analysis. Social network analysis (SNA) is becoming more and more widespread in several scientific disciplines as a method for processing social, economic, geographic, historical, digital, etc. data. Visualizations of graphs, communities and other ties are multiplying. However, there is a risk that SNA users may lose sight of the conditions under which their data are produced and thereby over-interpret or under-interpret the results. This article provides a guide to the different types of sources of network data, and the pitfalls and choices encountered in the process of producing network data. The first part provides an overview of these pitfalls and choices, and the second part focuses on the specifics of each source of data. Based on the authors’ experience in training network researchers, the article proposes a review of controlled ways of producing network data from this array of sources.


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