DeepSummary
Joshua Tucker, a professor at NYU, discusses the impact of generative AI on reducing the cost of content production and how this could influence election campaigns and foreign interference efforts. He emphasizes the importance of cross-disciplinary collaboration in researching digital democracy and the difficulties in changing entrenched political attitudes and affective polarization.
Tucker highlights the changes in Twitter's data access policies under new ownership, which have made it harder for academic researchers to study the platform's impact on politics and society. He also talks about the shift from social graphs to engagement-maximizing algorithms in content delivery and the potential implications of this change.
The episode explores the implications and concerns surrounding the potential ban of TikTok in the US from a democratic perspective. Tucker also discusses Volodymyr Zelenskyy's efforts to garner international support for Ukraine through diplomacy and effective use of technology during the ongoing conflict with Russia.
Key Episodes Takeaways
- Generative AI has the potential to reduce the cost of producing content, which could influence election campaigns and foreign interference efforts.
- Interdisciplinary collaboration is crucial in researching digital democracy and understanding the impact of emerging technologies on politics and society.
- Changing entrenched political attitudes and affective polarization is a significant challenge, and technology is just one part of a complex interplay of factors contributing to polarization.
- The shift from social graphs to engagement-maximizing algorithms in content delivery on social media platforms raises concerns about the creation of ideological bubbles and the potential spread of extremist content.
- The potential ban of TikTok in the US raises concerns about setting a precedent for authoritarian practices and limiting free speech and access to information.
- Volodymyr Zelenskyy's effective use of technology and social media during the Russia-Ukraine conflict has been instrumental in garnering international support and building a coalition.
- Changes in Twitter's data access policies under new ownership have made it harder for academic researchers to study the platform's impact on politics and society.
- Understanding the implications of emerging technologies like generative AI and social media algorithms on political behavior and public opinion requires rigorous academic research and data access.
Top Episodes Quotes
- “What generative AI has the potential to do is dramatically reduce the cost of producing content.“ by Joshua Tucker
- “One of the most exciting things about this field that I found myself in right now, which we, this loosely can be called digital democracy or digital autocracy or digital politics, is that, as you say, it really is at the intersection of a lot of established fields in academia.“ by Joshua Tucker
- “The question is, is that going to change with these engagement maximizing algorithms? If your algorithm finds out that you're liberal, you're no longer going to get that 15% of cross cutting content that comes from more conservative sources. Are we going to get into these more tighter, more sealed, hermetically sealed bubbles?“ by Joshua Tucker
- “I have to say, as an american citizen, it makes me very uncomfortable to be thinking about my government banning social media platforms as someone who's long studied more authoritarian regimes.“ by Joshua Tucker
Entities
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Episode Information
Marketer of the Month
Outgrow
6/24/24
Joshua Tucker is a Professor of Politics at New York University, where he is also an affiliated Professor of Data Science, Russian, and Slavic Studies. He serves as the Director of NYU’s Jordan Center for the Advanced Study of Russia and co-director of the NYU Center for Social Media and Politics. His research focuses on comparative politics, mass politics, and the impact of social media on political behavior.
On The Menu:
1. Generative AI reduces content production costs, influencing election campaigns and foreign interference.
2. Importance of cross-disciplinary partnerships in digital democracy research.
3. Difficulties in changing entrenched political attitudes and affective polarization.
4. Changes in Twitter data access for academic research under new ownership.
5. A shift from social graphs to engagement-maximizing algorithms in content delivery.
6. Implications and concerns of banning TikTok in the US from a democratic perspective.
7. Zelensky's efforts to garner international support through diplomacy and technology.
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