First-Principles Calculations for Analyzing Fake News Propagation in Social Groups
Applying first-principles calculations to analyze the dynamics of fake news spread within social groups.
Opinion Market Model: Understanding Far-Right Opinion Dynamics
Positive interventions can effectively shape online opinion ecosystems, as demonstrated by the Opinion Market Model (OMM) in predicting attention market shares and uncovering latent relationships between online items.
Understanding Affective Polarization Dynamics in Society
Out-group hate drives partisan polarization, while more love than hate is necessary for consensus.
Dutch Survey and Register Data for Fertility Prediction Challenge (PreFer)
Assessing predictability of fertility outcomes using Dutch survey and register data.
Community Needs and Assets: A Computational Analysis of Community Conversations
Analyzing community conversations to identify needs and assets computationally.
Understanding Opinion Dynamics with LLM-based Agents
Large Language Models (LLMs) exhibit a bias towards factual information, limiting their effectiveness in simulating individuals with fact-resistant beliefs like climate change denial. Introducing confirmation bias leads to opinion fragmentation, showcasing the potential and limitations of LLM agents in understanding opinion dynamics.
Breaking Political Filter Bubbles via Social Comparison Study
The authors conducted a study to explore how social comparison can help users break out of political filter bubbles by encouraging them to read diverse viewpoints. By comparing what users read with what other Twitter users read, the study found that social comparison can motivate users to engage with opposing political perspectives.
Impact of Intergroup Interactions on Religious Polarization in India during COVID-19 Discourse
The authors explore how intergroup interactions impact religious polarization during significant events, finding that interactions can both reduce and increase polarization depending on the context. They introduce a new measure, Group Conformity Score (GCS), to assess polarization between religious groups.
Analyzing the Impact of First-Principles Calculations on Fake News Propagation in Social Dynamics
The author explores the metaphorical relationship between materials like tellurium nanoparticles and graphene to analyze the dynamics of fake news spread within social groups, shedding light on resonance and amplification mechanisms.
Understanding Polarization Dynamics in Normative Institutions and Opinion Expression
The authors explore how normative institutions shape population-level polarization through human normativity, rhetoric intensity, and institutional actions. They propose strategies for platforms to mitigate affective polarization by reducing exposure to extreme signals.
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