2021 ◽  
Author(s):  
Pénélope Bourgoin ◽  
Inès Ait Belkacem ◽  
Isabelle Arnoux ◽  
Pierre-Emmanuel Morange ◽  
Fabrice Malergue

Aim: A new one-step flow cytometry procedure has been recently demonstrated for identifying subjects with infections, but only for fresh whole blood samples. The goal of this study was to assess its applicability on frozen samples, by proposing a new method to perform the sample freezing directly and easily. Methods: Fresh blood was tested, then frozen either directly or with dimethylsulfoxide and serum. Common markers of white blood cells as well as infection-related biomarkers were tested. Results: All percentages of leucocyte subsets and levels of infection-related biomarkers were significantly correlated between frozen and fresh samples. Conclusion: The direct freezing method enables an accurate assessment of common cellular sub-populations and of levels of important infectious biomarkers via flow cytometry.


2016 ◽  
Vol 35 (4) ◽  
pp. 444-461 ◽  
Author(s):  
Martin Hilbert ◽  
Javier Vásquez ◽  
Daniel Halpern ◽  
Sebastián Valenzuela ◽  
Eduardo Arriagada

The article analyzes the nature of communication flows during social conflicts via the digital platform Twitter. We gathered over 150,000 tweets from citizen protests for nine environmental social movements in Chile and used a mixed methods approach to show that long-standing paradigms for social mobilization and participation are neither replicated nor replaced but reshaped. In digital platforms, long-standing communication theories, like the 1955 two-step flow model, are still valid, while direct one-step flows and more complex network flows are also present. For example, we show that it is no contradiction that social media participants mainly refer to intermediating amplifiers of communicated messages (39% of the mentions from participants go through this two-step communication flow), while at the same time, traditional media outlets and official protest voices receive 80–90% of their mentions directly through a direct one-step flow from the same participants. While nonintuitive at first sight, Bayes’s theorem allows to detangle the different perspectives on the arising communication channel. We identify the strategic importance of a group of amplifying intermediaries in local positions of the networks, who coexist with specialized voices and professional media outlets at the center of the global network. We also show that direct personalized messages represent merely 20% of the total communication. This shows that the fine-grained digital footprint from social media enables us to go beyond simplistic views of a single all-encompassing step flow model for social communication. The resulting research agenda builds on long-standing theories with a new set of tools.


2017 ◽  
Vol 41 (4) ◽  
pp. 438-453 ◽  
Author(s):  
Natalie Pang ◽  
Joshua Ng

Purpose Misinformation can have lasting impacts in the management and control of a public emergency. The purpose of this paper is to demonstrate how misinformation flows and how user characteristics can shape such flows in the context of a violent riot in Singapore. Design/methodology/approach The authors apply the two-step flow theory and discuss the mixed methods approach involving wrangling Twitter data and descriptive analysis to develop and analyse two corpuses of misinformation related to the riot. Findings The findings are mostly consistent with the two-step flow theory, in that misinformation flows to the masses from opinion leaders (as indicated by higher measures such as online social influence and followers/following ratio). In the presence of misinformation, tweets opposing such misinformation may not always come from opinion leaders. Practical implications The authors work furthers knowledge about how misinformation goes viral, which provides practical implications to help policymakers and scholars in understanding and managing the dynamics and pitfalls of misinformation during an emergency. Originality/value This paper tackles the problem of misinformation in public emergencies using a mixed methods approach and contributes to ongoing theoretical work on managing online misinformation especially in public emergencies and crises.


Author(s):  
W. Lance Bennett ◽  
Jarol B. Manheim
Keyword(s):  
One Step ◽  

1970 ◽  
Vol 47 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Lloyd R. Bostian

Assessing research on the 1940 Lazarsfeld, et al. hypothesis, the author finds little for explaining communication process, except in personal influence; advances propositions for testing it in developing countries.


2021 ◽  
Author(s):  
Conrad Daellenbach

This paper explores the use of aggregation and curation of syndicated sources to support social media listening as a way of addressing the problem of information overload inherent in music discovery. Whereas Hodson & Wilkes looked at textual patterns and sentiment in discourse, the objective of my research is to apply their techniques within the context of identifying trends in electronic music discourse. I’ll then determined whether a traditional model for understanding influence, such as Katz & Lazarsfeld’s “Two--‐step flow theory,” remains true in a digital ecosystem. I’ll examine the music blog aggregator Hype Machine, which employs crowdsourcing and content curation to pre--‐filter a sample of top blog posts, with the objective of creating a dataset from which to identify correlations in both audio properties and blog influence. My research is driven by an exploration of technology and cultural change, as well as examinations of why and how audiences consume music.


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