Two-Step Flow Theory

2014 ◽  
Author(s):  
Cindy Christen
Keyword(s):  
Flow Theory ◽  
Step Flow

Misinformation in a riot: a two-step flow view

2017 ◽  
Vol 41 (4) ◽  
pp. 438-453 ◽  
Author(s):  
Natalie Pang ◽  
Joshua Ng
Keyword(s):  
Mixed Methods ◽  
Descriptive Analysis ◽  
Flow Theory ◽  
Theoretical Work ◽  
Opinion Leaders ◽  
User Characteristics ◽  
Content Type ◽  
Mixed Methods Approach ◽  
Step Flow ◽  
Practical Implications

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.

The Two-Step Flow Theory: Cross-Cultural Implications

1970 ◽  
Vol 47 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Lloyd R. Bostian
Keyword(s):  
Developing Countries ◽  
Flow Theory ◽  
Cross Cultural ◽  
Communication Process ◽  
Step Flow ◽  
Personal Influence ◽  
Cultural Implications

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.

scholarly journals The invitation: niche audiences, participatory culture, and The Hype Machine

2021 ◽  
Author(s):  
Conrad Daellenbach
Keyword(s):  
Social Media ◽  
Cultural Change ◽  
Electronic Music ◽  
Information Overload ◽  
Flow Theory ◽  
Participatory Culture ◽  
Traditional Model ◽  
Step Flow ◽  
Digital Ecosystem ◽  
Blog Posts

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.

The use of user-generated comments and their effects on the perception of news: An experimental study

2021 ◽  
Vol 13 (1) ◽  
pp. 83-100 ◽  
Author(s):  
Ayodeji O. Awobamise ◽  
Yosra Jarrar
Keyword(s):  
Experimental Study ◽  
Flow Theory ◽  
Experimental Methodology ◽  
Online Media ◽  
Review Of Literature ◽  
Step Flow ◽  
News Credibility ◽  
News Selection ◽  
Flow Of Information

A review of literature suggests that very few studies have examined how selection, deletion and inclusion of comments in news articles affect audience perception of news credibility, newsworthiness and trustworthiness. Using an experimental methodology, this study seeks to understand how journalistic use of UGCs influences audience perception of news credibility, newsworthiness and trustworthiness. The study also sought to espouse on the two-step flow theory and its relevance to online media; with particular reference to news selection. Four hundred participants from selected Nigerian universities constitute the sample of this study and the findings showed that comments use influenced audience perception of news credibility, newsworthiness and trustworthiness. Also, the findings lent credence to developing research that seeks to prove that the two-step flow story is relevant to online media. The findings of this study showed evidence of the two-step flow of information.

CONSTRAINED OPINION LEADER INFLUENCE IN AN ELECTORAL CAMPAIGN SEASON: REVISITING THE TWO-STEP FLOW THEORY WITH MULTI-AGENT SIMULATION

2007 ◽  
Vol 10 (02) ◽  
pp. 233-250 ◽  
Author(s):  
FRANK C. S. LIU
Keyword(s):  
Communication Networks ◽  
News Media ◽  
Great Influence ◽  
Opinion Leader ◽  
Flow Theory ◽  
Opinion Leaders ◽  
The Public ◽  
Step Flow ◽  
Leader Influence ◽  
Agent Simulation

The conventional wisdom derived from the two-step flow theory suggests that opinion leaders have great influence on their followers. However, it has been difficult for social scientists to measure and describe the extent to which political opinion leaders influence voters, especially when voters today access multiple information sources like communication networks and self-selected news media. This paper fills this gap by using agent-based modeling to represent what the two-step flow theory describes about opinion leader influence and refines the theory based on the findings. First, opinion leader influence does not diffuse to the public without homogeneous communication networks. Second, opinion leader influence usually does not diffuse widely to the public because it inevitably faces resistance from self-strengthening communication networks.

scholarly journals The invitation: niche audiences, participatory culture, and The Hype Machine

2021 ◽  
Author(s):  
Conrad Daellenbach
Keyword(s):  
Social Media ◽  
Cultural Change ◽  
Electronic Music ◽  
Information Overload ◽  
Flow Theory ◽  
Participatory Culture ◽  
Traditional Model ◽  
Step Flow ◽  
Digital Ecosystem ◽  
Blog Posts

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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