DiscoverThe Official ISCA Podcast"Manual Annotation: Why and How?” (2024 Datathon & Machine Learning Competition)
"Manual Annotation: Why and How?” (2024 Datathon & Machine Learning Competition)

"Manual Annotation: Why and How?” (2024 Datathon & Machine Learning Competition)

Update: 2024-10-15
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Sunday, October 13, 2024. In this episode, Günther Jikeli and Katharina Soemer discuss "Manual Annotation: Why and How?"




What is machine learning? How is machine learning helpful when observing and combatting antisemitism online? What challenges exist when using machine learning for this purpose? Why is manual annotation a necessary step for automated content detection? How do you manually annotate tweets?




Günther Jikeli holds the Erna B. Rosenfeld Professorship at the Institute for the Study of Contemporary Antisemitism in the Borns Jewish Studies Program at Indiana University. He has published widely on antisemitism online and offline.




Katharina Soemer holds an MA in Sociology and Social Research from the University of Bremen, Germany. She currently manages ISCA’s Social Media & Hate Research Lab at Indiana University. Her published work focuses on online antisemitism and methods of research in that field.




Music: "Pleasant Porridge" Kevin MacLeod (incompetech.com) 
Licensed under Creative Commons: By Attribution 4.0 License 
http://creativecommons.org/licenses/by/4.0/ 

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"Manual Annotation: Why and How?” (2024 Datathon & Machine Learning Competition)

"Manual Annotation: Why and How?” (2024 Datathon & Machine Learning Competition)

The Institute for the Study of Contemporary Antisemitism