Using AI and Social Science to Improve Social Media

Rafal Kocielnik in Trustworthy Social Media

Feb 5, 2023

Can You Label Less by Using Out-of-Domain Data?

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Danny Ebanks in Trustworthy Social Media

Nov 4, 2022

Dynamics of Political Polarization: Insights from Using Machine Learning and Natural Language Processing with Twitter…

Jacob Morrier in Trustworthy Social Media

Jul 5, 2022

Are Canadian Political Parties Responsive to Climate Change’s Public Salience in Question Period?

In a new working paper, R. Michael Alvarez and I study issue responsiveness in Canadian politics. Specifically, we consider whether political parties are responsive…

Danny Ebanks in Trustworthy Social Media

Jul 14, 2021

Following the leader: Congressional Communication on Social Media

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Maya Srikanth in Trustworthy Social Media

Mar 8, 2021

2021 Inauguration on Twitter

Introduction

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Anqi Liu in Trustworthy Social Media

Jan 19, 2021

Thoughts on Challenges in Computational Social Science

It is cool to do interdisciplinary research…

R. Michael Alvarez in Trustworthy Social Media

Dec 30, 2020

Five Important Social Media Trends in 2021

What are the five important social media trends that the research community needs to…

R. Michael Alvarez in Trustworthy Social Media

Dec 29, 2020

Misinformation on Facebook

As researchers, we know little about misinformation on Facebook.

R. Michael Alvarez in Trustworthy Social Media

Dec 10, 2020

Was YouTube Too Slow To Remove Election Fraud Content?

Maya Srikanth in Trustworthy Social Media

Dec 3, 2020

Finding Social Media Trolls with Dynamic Keyword Selection

Introduction

About

Trustworthy Social Media

Our research group is working to understand how to improve conversations and discourse on social media, like Twitter and Facebook. By integrating cutting-edge computer science with quantitative social science, we are building a more trustworthy social media.

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