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The advent of the COVID-19 pandemic has undoubtedly affected the political scene worldwide and the introduction of new terminology and public opinions regarding the virus has further polarized partisan stances. Using a collection of tweets…

Computation and Language · Computer Science 2025-05-12 Cindy Kim , Daniela Puchall , Jiangyi Liang , Jiwon Kim

Through the use of Twitter, framing has become a prominent presidential campaign tool for politically active users. Framing is used to influence thoughts by evoking a particular perspective on an event. In this paper, we show that the…

Social and Information Networks · Computer Science 2020-07-21 Chereen Shurafa , Kareem Darwish , Wajdi Zaghouani

Effective response to pandemics requires coordinated adoption of mitigation measures, like masking and quarantines, to curb a virus's spread. However, as the COVID-19 pandemic demonstrated, political divisions can hinder consensus on the…

Social and Information Networks · Computer Science 2023-10-18 Ashwin Rao , Siyi Guo , Sze-Yuh Nina Wang , Fred Morstatter , Kristina Lerman

The COVID-19 pandemic brought upon a massive wave of disinformation, exacerbating polarization in the increasingly divided landscape of online discourse. In this context, popular social media users play a major role, as they have the…

Social and Information Networks · Computer Science 2023-07-25 Giacomo De Nicola , Victor H. Tuekam Mambou , Göran Kauermann

Narratives are key interpretative devices by which humans make sense of political reality. In this work, we show how the analysis of conflicting narratives, i.e. conflicting interpretive lenses through which political reality is experienced…

Computation and Language · Computer Science 2025-07-22 Armin Pournaki

The novel coronavirus pandemic continues to ravage communities across the US. Opinion surveys identified importance of political ideology in shaping perceptions of the pandemic and compliance with preventive measures. Here, we use social…

Social and Information Networks · Computer Science 2020-11-18 Ashwin Rao , Fred Morstatter , Minda Hu , Emily Chen , Keith Burghardt , Emilio Ferrara , Kristina Lerman

Democrats and Republicans have seemed to grow apart in the past three decades. Since the United States as we know it today is undeniably bipartisan, this phenomenon would not appear as a surprise to most. However, there are triggers which…

Computers and Society · Computer Science 2020-10-30 Parth Shisode

Background: Social media chatter in 2020 has been largely dominated by the COVID-19 pandemic. Existing research shows that COVID-19 discourse is highly politicized, with political preferences linked to beliefs and disbeliefs about the…

Social and Information Networks · Computer Science 2021-09-01 Julie Jiang , Xiang Ren , Emilio Ferrara

2020 through 2023 were unusually tumultuous years for children in the United States, and children's welfare was prominent in political debate. Theories in moral psychology suggest that political parties would treat concerns for children…

Social and Information Networks · Computer Science 2024-07-29 Breanna E. Green , William R. Hobbs

In this paper, we study the moral framing of political content on Twitter. Specifically, we examine differences in moral framing in two datasets: (i) tweets from US-based politicians annotated with political affiliation and (ii) COVID-19…

Social and Information Networks · Computer Science 2023-06-28 Markus Reiter-Haas , Simone Kopeinik , Elisabeth Lex

Social media platforms play a pivotal role in shaping public opinion and amplifying political discourse, particularly during elections. However, the same dynamics that foster democratic engagement can also exacerbate polarization. To better…

Social and Information Networks · Computer Science 2024-12-05 Hazem Ibrahim , Farhan Khan , Hend Alabdouli , Maryam Almatrooshi , Tran Nguyen , Talal Rahwan , Yasir Zaki

Public health measures were among the most polarizing topics debated online during the COVID-19 pandemic. Much of the discussion surrounded specific events, such as when and which particular interventions came into practise. In this work,…

By training deep neural networks on massive archives of digitized text, large language models (LLMs) learn the complex linguistic patterns that constitute historic and contemporary discourses. We argue that LLMs can serve as a valuable tool…

Computers and Society · Computer Science 2024-07-17 Austin C. Kozlowski , Hyunku Kwon , James A. Evans

Health misinformation is believed to have contributed to vaccine hesitancy during the Covid-19 pandemic, highlighting concerns about the role of social media in polarization and social stability. While previous research has identified a…

Social and Information Networks · Computer Science 2022-03-04 Ashwin Rao , Fred Morstatter , Kristina Lerman

COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and consequently, the news. In its wake, it has left no life unaffected. Having earned the…

Social and Information Networks · Computer Science 2021-04-23 Shayan Fazeli , Davina Zamanzadeh , Anaelia Ovalle , Thu Nguyen , Gilbert Gee , Majid Sarrafzadeh

Doctors and nurses in these weeks are busy in the trenches, fighting against a new invisible enemy: Covid-19. Cities are locked down and civilians are besieged in their own homes, to prevent the spreading of the virus. War-related…

Computation and Language · Computer Science 2020-10-05 Philipp Wicke , Marianna M. Bolognesi

The abundance of information on social media has reshaped public discussions, shifting attention to the mechanisms that drive online discourse. This study analyzes large-scale Twitter (now X) data from three global debates--Climate Change,…

Narrative frames are a powerful way of conceptualizing and communicating complex, controversial ideas, however automated frame analysis to date has mostly overlooked this framing device. In this paper, we connect elements of narrativity…

Computation and Language · Computer Science 2025-06-03 Yulia Otmakhova , Lea Frermann

A combination of federal and state-level decision making has shaped the response to COVID-19 in the United States. In this paper we analyze the Twitter narratives around this decision making by applying a dynamic topic model to COVID-19…

Social and Information Networks · Computer Science 2020-04-27 Hao Sha , Mohammad Al Hasan , George Mohler , P. Jeffrey Brantingham

In late 2019, the gravest pandemic in a century began spreading across the world. A state of uncertainty related to what has become known as SARS-CoV-2 has since fueled conspiracy narratives on social media about the origin, transmission…

Social and Information Networks · Computer Science 2020-09-29 Morteza Shahrezaye , Miriam Meckel , Léa Steinacker , Viktor Suter
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