scholarly journals Opinion dynamics of online social network users: a micro-level analysis

2021 ◽  
pp. 1-41
Author(s):  
Ivan V. Kozitsin
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Opinion Dynamics ◽  
Micro Level ◽  
Level Analysis

scholarly journals Using Crowd Sourcing to Analyze Consumers' Response to Privacy Policies of Online Social Network and Financial Institutions at Micro Level

2019 ◽  
pp. 33-57
Author(s):  
Shaikha Alduaij ◽  
Zhiyuan Chen ◽  
Aryya Gangopadhyay
Keyword(s):  
Social Network ◽  
Service Providers ◽  
Financial Institution ◽  
Online Social Network ◽  
Crowd Sourcing ◽  
Privacy Policies ◽  
Privacy Concerns ◽  
Micro Level ◽  
Type Data ◽  
Work Done

As it becomes easy and inexpensive to store huge amount of data, concerns about privacy are increasing as well. Although service providers have privacy policies, research shows that users rarely read privacy policies. As a result, there has been little work done on how consumers respond to individual segments of privacy policies, which is important for organizations when designing privacy policies. In this study, the authors break down privacy policies of two well-known social network companies (Facebook, Twitter) and financial institution (Bank of America) into simple segments. They then use crowd sourcing to analyze consumers' response to these policy segments. The authors ask questions on users' awareness, expectations, familiarity, and privacy concerns of these policy segments. The relationships between various factors such as demographic factors, data type, data flow and consumers' privacy concerns were also investigated. The authors conclude with guidelines and suggestions for improvement and ways to increase users' awareness of privacy policies.

scholarly journals Using Crowd Sourcing to Analyze Consumers' Response to Privacy Policies of Online Social Network and Financial Institutions at Micro Level

2016 ◽  
Vol 10 (2) ◽  
pp. 41-63 ◽  
Author(s):  
Shaikha Alduaij ◽  
Zhiyuan Chen ◽  
Aryya Gangopadhyay
Keyword(s):  
Social Network ◽  
Service Providers ◽  
Financial Institution ◽  
Online Social Network ◽  
Crowd Sourcing ◽  
Privacy Policies ◽  
Privacy Concerns ◽  
Micro Level ◽  
Type Data ◽  
Work Done

As it becomes easy and inexpensive to store huge amount of data, concerns about privacy are increasing as well. Although service providers have privacy policies, research shows that users rarely read privacy policies. As a result, there has been little work done on how consumers respond to individual segments of privacy policies, which is important for organizations when designing privacy policies. In this study, the authors break down privacy policies of two well-known social network companies (Facebook, Twitter) and financial institution (Bank of America) into simple segments. They then use crowd sourcing to analyze consumers' response to these policy segments. The authors ask questions on users' awareness, expectations, familiarity, and privacy concerns of these policy segments. The relationships between various factors such as demographic factors, data type, data flow and consumers' privacy concerns were also investigated. The authors conclude with guidelines and suggestions for improvement and ways to increase users' awareness of privacy policies.

scholarly journals Using Crowd Sourcing to Analyze Consumers' Response to Privacy Policies of Online Social Network and Financial Institutions at Micro Level

2019 ◽  
pp. 492-516
Author(s):  
Shaikha Alduaij ◽  
Zhiyuan Chen ◽  
Aryya Gangopadhyay
Keyword(s):  
Social Network ◽  
Service Providers ◽  
Financial Institution ◽  
Online Social Network ◽  
Crowd Sourcing ◽  
Privacy Policies ◽  
Privacy Concerns ◽  
Micro Level ◽  
Type Data ◽  
Work Done

As it becomes easy and inexpensive to store huge amount of data, concerns about privacy are increasing as well. Although service providers have privacy policies, research shows that users rarely read privacy policies. As a result, there has been little work done on how consumers respond to individual segments of privacy policies, which is important for organizations when designing privacy policies. In this study, the authors break down privacy policies of two well-known social network companies (Facebook, Twitter) and financial institution (Bank of America) into simple segments. They then use crowd sourcing to analyze consumers' response to these policy segments. The authors ask questions on users' awareness, expectations, familiarity, and privacy concerns of these policy segments. The relationships between various factors such as demographic factors, data type, data flow and consumers' privacy concerns were also investigated. The authors conclude with guidelines and suggestions for improvement and ways to increase users' awareness of privacy policies.

Characteristic analysis of information propagation pattern in online social network

2013 ◽  
Vol 33 (1) ◽  
pp. 105-107 ◽  
Author(s):  
Jia HAN ◽  
Ruliang XIAO ◽  
Yao HU ◽  
Tao TANG ◽  
Lina FANG
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Information Propagation ◽  
Characteristic Analysis ◽  
Propagation Pattern

Meddling in the Ballot Box

2020 ◽  
Author(s):  
Dov H. Levin
Keyword(s):  
Statistical Analysis ◽  
Theoretical Model ◽  
Preliminary Analysis ◽  
Great Powers ◽  
Archival Research ◽  
Micro Level ◽  
Election Results ◽  
Level Analysis ◽  
The U.S ◽  
Scholarly Attention

This book examines why partisan electoral interventions occur as well as their effects on the election results in countries in which the great powers intervened. A new dataset shows that the U.S. and the USSR/Russia have intervened in one out of every nine elections between 1946 and 2000 in other countries in order to help or hinder one of the candidates or parties; the Russian intervention in the 2016 U.S. elections is just the latest example. Nevertheless, electoral interventions receive scant scholarly attention. This book develops a new theoretical model to answer both questions. It argues that electoral interventions are usually “inside jobs,” occurring only if a significant domestic actor within the target wants it. Likewise, electoral interventions won’t happen unless the intervening country fears its interests are endangered by another significant party or candidate with very different and inflexible preferences. As for the effects it argues that such meddling usually gives a significant boost to the preferred side, with overt interventions being more effective than covert ones in this regard. However, unlike in later elections, electoral interventions in founding elections usually harm the aided side. A multi-method framework is used in order to study these questions, including in-depth archival research into six cases in which the U.S. seriously considered intervening, the statistical analysis of the aforementioned dataset (PEIG), and a micro-level analysis of election surveys from three intervention cases. It also includes a preliminary analysis of the Russian intervention in the 2016 U.S. elections and the cyber-future of such meddling in general.

Facebooking Alone? Millennials’ Use of Social Network Sites and Volunteering

2019 ◽  
Vol 49 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Young-joo Lee
Keyword(s):  
Cohort Study ◽  
Social Network ◽  
Civic Engagement ◽  
Online Social Network ◽  
Social Network Sites ◽  
Positive Association ◽  
Prosocial Behaviors ◽  
Network Site ◽  
Facebook Use ◽  
Mixed Messages

The younger generation’s widespread use of online social network sites has raised concerns and debates about social network sites’ influence on this generation’s civic engagement, whether these sites undermine or promote prosocial behaviors. This study empirically examines how millennials’ social network site usage relates to volunteering, using the 2013 data of the Minnesota Adolescent Community Cohort Study. The findings reveal a positive association between a moderate level of Facebook use and volunteering, although heavy users are not more likely to volunteer than nonusers. This bell-shaped relationship between Facebook use and volunteering contrasts with the direct correlation between participation in off-line associational activities and volunteering. Overall, the findings suggest that it is natural to get mixed messages about social network sites’ impacts on civic engagement, and these platforms can be useful tools for getting the word out and recruiting episodic volunteers.

Optimizing consensus reaching in the hybrid opinion dynamics in a social network•

2021 ◽  
Vol 72 ◽  
pp. 89-99
Author(s):  
Yi Liu ◽  
Haiming Liang ◽  
Lei Gao ◽  
Zhaoxia Guo
Keyword(s):  
Social Network ◽  
Opinion Dynamics ◽  
Consensus Reaching
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