Comprehending Human Action using Social Networks
This project explores how social networks influence the behavior of scientists, politicians, and citizens through empirical analyses and network-based identification strategies.
Projectdetails
Introduction
This proposal consists of three interconnected projects that study how social networks shape the behavior of 1) scientists, 2) politicians, and 3) citizens by using the structure of networks for identification.
Project 1: Social Media and Knowledge Production
The first project investigates how social media networks shape knowledge production in academia. Through a comprehensive dataset of economists and their Twitter activity, the project provides insights into the information acquisition process of scientists and how scientists’ networks impact the direction of science.
Key Focus Areas
The project will examine the causal effect of social media usage on:
- Research output
- Collaboration
- Citation patterns
- Careers
Moreover, the project will highlight inefficiencies in the scientific process that arise through scientific fads and herd behavior.
Project 2: Congressional Staffers and Policy-Making
The second project will generate some of the first large-scale empirical analyses of the role of congressional staffers in the policy-making process. Based on comprehensive data on congressional staffers, their networks, and the activities of congress members, the project will generate pathbreaking insights into the impact of staffers on congressional voting behavior as well as policy priorities.
Methodology
The project will isolate the effect of staffers using a network-based identification strategy that leverages the educational ties of staffers. In this way, the research project will break new ground in the field of political economy by opening the black box of the policy-making process.
Project 3: Social Media Effects in India
The third project focuses on the political effects of social media and the effectiveness of algorithmic interventions by investigating the impact of sharing limits on the social media platform WhatsApp.
Research Objectives
The project will analyze how this change to information flows on a network affects:
- Conflict events
- Beliefs
- Election results in the world's largest democracy: India
The research project thereby addresses a gap in the field of social media research by shedding light on an often-proposed policy intervention.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.491.649 |
Totale projectbegroting | € 1.491.649 |
Tijdlijn
Startdatum | 1-10-2024 |
Einddatum | 30-9-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- UNIVERSITA COMMERCIALE LUIGI BOCCONIpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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MANUNKIND: Determinants and Dynamics of Collaborative Exploitation
This project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery.
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressure
The UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance.
Uncovering the mechanisms of action of an antiviral bacterium
This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.
The Ethics of Loneliness and Sociability
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Harmony within societyThis project aims to develop a unified framework for understanding social interactions and divisive behaviors, exploring safe spaces, transparency, and coopetition to enhance societal engagement. | ERC ADG | € 1.597.750 | 2024 | Details |
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Delivering a useable method for mapping groups in attitude networks by developing a robust prototype, development community, and exploitation model to maximize the social value of the breakthrough
The project aims to make a mathematical method for analyzing bipartite graphs from surveys accessible to end-users, enhancing understanding of social attitudes and enabling cross-partisan collaboration.
Harmony within society
This project aims to develop a unified framework for understanding social interactions and divisive behaviors, exploring safe spaces, transparency, and coopetition to enhance societal engagement.
Computational Mechanisms of Social Media Use in Youth
This project aims to develop computational models and analyze social media trace data to understand youth engagement and its neurocognitive impacts, enhancing future research frameworks.