Conversations with Sergei Guriev

The digital inequalities are considerable and directly linked to social inequalities: less money, less equipment, less time, less training. How is political activism developed in this context? With what consequences? Jen Schradie has been studying these questions for over 10 years by combining quantitative, qualitative and computational studies. By sharing her conclusions with us, she also tells us about the impacts of artificial intelligence on research and teaching activities. Next year, she will give a course at Sciences Po on the use of Gen AI in research.Jen Schradie is an Assistant Professor, researcher at the Centre for Research on Social InequalitieS (CRIS). Additional Resources:Schradie, Jen, and Liam Bekirsky, 'The Digital Production Gap in the Algorithmic Era', in Deana A. Rohlinger, and Sarah Sobieraj (eds), The Oxford Handbook of Digital Media Sociology (2022; online edn, Oxford Academic, 8 Oct. 2020)Schradie, Jen, "Context, class, and community: a methodological framework for studying labor organizing and digital unionizing", Information, Communication & Society, vol. 24, 2021, n° 5, p 700-716Schradie, Jen - "The Great Equalizer Reproduces Inequality: How the Digital Divide Is a Class Power Divide", Political Power and Social Theory, vol. 37, 2020, Rethinking Class and Social Difference, p. 81-101Recorded on 3 May 2024Conversations with Sergei GURIEV  is a podcast by Sciences Po. Hélène NAUDET supervised the production of this series, with the help of Jade SOULLARD, Sciences Po Master student. Sciences Po' studio produced and mixed it.Hosted by Ausha. See ausha.co/privacy-policy for more information.

In the vast landscape of the Internet, YouTube is a giant, hosting over 14 billion videos that shape our digital experience. No one knew this number until Ethan Zukerman and his team calculated it using an advanced method they developed. Not only did they count the number of videos, but they also classified them, providing a vivid picture of YouTube’s cultural and linguistic diversity. This analysis also reveals the algorithmic dynamics that influence user experiences. Ethan Zuckerman is an associate professor of public policy, communication and information at the University of Massachusetts at Amherst. He founds of the Institute for Digital Public Infrastructure.Additional Resources:How Big is YouTube?, Ethan Zukerman's blog Dec. 2023"Building a More Honest Internet" Columbia Journalism Review, Ethan Zukerman, Fall 2019Media Cloud, an open source search engine and tool for studying the open web, developed with Ethan ZukermanRecorded on 20 March 2024Conversations with Sergei GURIEV  is a podcast by Sciences Po. Hélène NAUDET supervised the production of this series, with the help of Jade SOULLARD, Sciences Po Master student. Sciences Po' studio produced and mixed it.Hosted by Ausha. See ausha.co/privacy-policy for more information.

Many studies have shown the limited effectiveness of factual corrections in changing deeply ingrained beliefs and attitudes. However, based on the results of his work, Yamil Velez is convinced that thanks to generative AI, researchers can create personalised rebuttals that adapt to individuals' stated positions. It may also be helpful to explore new ways to reduce polarisation and enhance critical thinking skills. A positive outlook explained by Yamil Velez, an Assistant Professor at Columbia University, visiting faculty at CEVIPOF.Additional resources:Latino-Targeted Misinformation and The Power of Factual Correctionswith Ethan Porter and Thomas Wood, Journal of PoliticsCorrecting Covid-19 Misinformation in Ten Countries with Ethan Porter and Thomas Wood, Royal Society Open ScienceFactual Corrections Eliminate False Beliefs about Covid-19 Vaccines with Ethan Porter and Thomas Wood), Public Opinion QuarterlyRecorded on 16th February 2024.Conversations with Sergei GURIEV  is a podcast by Sciences Po. Hélène NAUDET supervised the production of this series, with the help of Jade SOULLARD, Sciences Po Master student. Sciences Po' studio produced and mixed it.Hosted by Ausha. See ausha.co/privacy-policy for more information.

One thing is certain: discrimination is not only perpetuated by algorithms which reflect societal biases, but multiplied. If the constitution of databases and configuration of algorithms must be rethought, it will not be enough. It is essential to rely on law, especially the Europen one which prohibits a large number of discriminations. These legal protections must be adapted and developed, considering the specificities of algorithmic discrimination.Raphaele XENIDIS, Assistant Professor at Sciences Po's Law School, helps us better understand the questions raised by these issues.Additional resourcesRaphaële Xenidis. Beyond bias: algorithmic machines, discrimination law and the analogy trap. Transnational Legal Theory, 2024, pp.1-35. Hilde Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy. Algorithmic Unfairness through the Lens of EU Non-Discrimination Law. FAccT Conference 2023, ACM, June 2023, Chicago. pp.805-816.Recorded on 24th January 2024Conversations with Sergei GURIEV  is a podcast by Sciences Po. Hélène NAUDET supervised the production of this series, with the help of Jade SOULLARD, Sciences Po Master student. Sciences Po' studio produced and mixed it.Hosted by Ausha. See ausha.co/privacy-policy for more information.