Do Social Media Ads Matter for Political Behavior? A Field Experiment

2022 ◽  
Author(s):  
George Beknazar-Yuzbashev ◽  
Mateusz Stalinski
Keyword(s):  
Social Media ◽  
Field Experiment ◽  
Political Behavior

Do Social Media Ads Matter for Political Behavior? A Field Experiment

2021 ◽  
Author(s):  
George Beknazar-Yuzbashev ◽  
Mateusz Stalinski
Keyword(s):  
Social Media ◽  
Field Experiment ◽  
Political Behavior

Can social media lead to labor market discrimination? Evidence from a field experiment

2018 ◽  
Vol 28 (2) ◽  
pp. 225-246 ◽  
Author(s):  
Matthieu Manant ◽  
Serge Pajak ◽  
Nicolas Soulié
Keyword(s):  
Social Media ◽  
Labor Market ◽  
Field Experiment ◽  
Labor Market Discrimination

Social Media Integration and E-Commerce Platform Performance: A Randomized Field Experiment

2017 ◽  
Author(s):  
Ni (Nina) Huang ◽  
Tianshu Sun ◽  
Pei-Yu Chen
Keyword(s):  
Social Media ◽  
Field Experiment ◽  
Randomized Field Experiment ◽  
Media Integration

scholarly journals The Follow Back Problem in a Hyper-Partisan Environment

2022 ◽  
Author(s):  
Qi Yang ◽  
Mohsen Mosleh ◽  
David Gertler Rand ◽  
Tauhid Zaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Field Experiment ◽  
Important Impact ◽  
Political Partisanship ◽  
Democrats And Republicans ◽  
Back Problem ◽  
Do So

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.

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