Comparative Agendas Project Annual Conference

How media coverage shapes and frames political issues, influencing public and political elite perceptions. The role of media in highlighting certain issues and determining their importance in the political agenda. The role of AI algorithms in shaping media content and influencing the prominence of political issues in news coverage.

The impact of political leaders, elected officials, political parties, and interest groups in contributing to agenda setting. Analysis of political elites’actions, speeches, and policy proposals in bringing attention to specific issues.

Exploration of the reciprocal relationship between public opinion and agenda setting. How politicians respond to public concerns and preferences, and the subsequent prioritization of issues.

Analysis of how temporal dynamics, events, crises, and electoral cycles influence the importance of issues over time. The role of temporal factors in shaping the ebb and flow of political agendas.

Examination of the role of social media in shaping the political agenda and influencing public discourse. The impact of social media platforms on the accessibility and salience of political issues.

Coding and categorizing political discourse, news articles, headlines, or social media posts to measure the salience of issues over time. Using network analysis to visualize and quantify the interconnections among topics, media outlets, political elites, and interest groups. Employing machine learning algorithms and NLP techniques for topic modeling, and automated content analysis. Utilizing big data analytics techniques, including data mining and pattern recognition, to uncover insights into agenda-setting processes.

Comparing agenda-setting dynamics across different contexts, media outlets, or periods. Conducting in-depth case studies to identify similarities, differences, and contextual factors influencing agenda setting. Combining quantitative and qualitative methods to provide a comprehensive understanding of agenda setting.

Discussing the ethical implications of AI algorithms in agenda setting, including issues related to bias, transparency, and accountability. Implications of AI-generated content on the diversity and framing of political issues. Ethical Considerations in AI-driven Agenda Setting.