Transmission of information within transnational social networks: a field experiment

2017 ◽  
Vol 21 (4) ◽  
pp. 905-923 ◽  
Author(s):  
Natalia Candelo ◽  
Rachel T. A. Croson ◽  
Catherine Eckel
2019 ◽  
Vol 34 (Supplement_1) ◽  
pp. S72-S78
Author(s):  
Marie Boltz ◽  
Karine Marazyan ◽  
Paola Villar

Abstract In Sub-Saharan Africa, individuals frequently transfer a substantial share of their resources to members of their social networks. Social pressure to redistribute, however, can induce disincentive effects on resource allocation decisions. This paper measures and characterizes the costs of redistributive pressure by estimating individuals’ willingness to pay (WTP) to hide their income. The study estimates a social tax due to informal redistribution of 10 percent. Moreover, it shows that individuals are willing to escape from the redistributive pressure exerted mainly by extended family members.


2018 ◽  
Vol 54 (1) ◽  
pp. 177-204 ◽  
Author(s):  
Miranda Jessica Lubbers ◽  
Ashton M. Verdery ◽  
José Luis Molina

Scholars of transnationalism have argued that migrants create transnational social fields or spaces that connect their place of origin to destination areas. Despite the centrality that social networks have in the definition of these concepts, quantitative and mixed-methods social network research is rare in research on transnationalism. This situation, however, has changed over the last decade, and the transnational social networks of migrants have been studied with multiple methodologies. So far, this literature has not been systematically evaluated. With the aim of taking stock of this research, we classify the literature into four types of approaches (individual, household, dyad/small set, and community) and review their distinct contributions regarding the functioning of immigrants’ transnational networks, as well as the relative strengths and limitations of each approach. On the basis of our analysis, we discuss pathways for future investigation.


2013 ◽  
Vol 113 (1) ◽  
pp. 217-220 ◽  
Author(s):  
Angélique Martin ◽  
Céline Jacob ◽  
Nicolas Guéguen

People interact more readily with someone with whom they think they have something in common, but the effect of an incidental similarity has never been examined on social networks. Facebook users were contacted by a stranger who also possessed a Facebook page and who asked them to become his friend. The request message contained one item of similarity, two items of similarity, or none. Compliance to the request was the dependent variable. Increased compliance to the request was found when comparing the two similarity conditions with the control no-similarity condition. However, no difference was found between the two similarity conditions. Similarity appears to foster relationships on social networks.


2022 ◽  
Author(s):  
Qi Yang ◽  
Mohsen Mosleh ◽  
David Gertler Rand ◽  
Tauhid Zaman

Many social media users try to obtain as many followers as possible in a social network to gain influence, a challenge that is often referred to as the follow back problem. In this work we study different strategies for this problem in the context of politically polarized social networks and study how political partisanship affect social media users' propensity to follow each other. We test how contact strategy (liking, following) interacts with partisan alignment when trying to induce users to follow back. To do so, we conduct a field experiment on Twitter where we target N=8,104 active users using bot accounts that present as human. We found that users were more than twice as likely to reciprocally follow back bots whose partisanship matched their own. Conversely, when the only form of contact between the bot and the user was the bot liking the user’s posts, the follow rate was extremely low regardless of partisan alignment – and liking a user’s content and following them led to no increase in follow-back relative to just following the user. Finally, we found no partisanship asymmetries, such that Democrats and Republicans preferentially followed co-partisans to the same extent. Our results demonstrate the important impact of following users and having shared partisanship – and the irrelevance of liking users’ content – on solving the follow back problem.


2018 ◽  
Vol 72 (6) ◽  
pp. 1013-1038 ◽  
Author(s):  
Valery Yakubovich ◽  
Ryan Burg

We offer the first field experiment showing how job assignments create social ties at work and influence their persistence. Pairs of managers were assigned at random to project teams. We show that once those pairs work together and become interdependent, they are more likely to create informal relationships (friendships and advice ties). Interdependence also increases the persistence of the informal ties that existed prior to team assignments; the magnitude of this effect decreases with tie strength. As organizations extend their use of teamwork, they also create and maintain social networks across functional and geographic boundaries. Thus, transitory project teams forge an enduring organizational legacy.


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