#aBitOfCCS on training data for classifying hateful language with Denies Roth hosted by Jana Bernhard-Harrer cover art

#aBitOfCCS on training data for classifying hateful language with Denies Roth hosted by Jana Bernhard-Harrer

#aBitOfCCS on training data for classifying hateful language with Denies Roth hosted by Jana Bernhard-Harrer

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In this episode of #aBitOfCCS, Jana Bernhard-Harrer sits down with Denise Roth, a PhD student at the Strategic Communication Group at Wageningen University & Research. Denise’s research focuses on how science is communicated by political elites and the implications for the relationship between science and society.

Her study, "In the Crossfire: Online Hostility Towards Public Figures Amid Politicized Science Communication" , investigates how large language models (LLMs) can be leveraged to annotate training data for a classifier capable of distinguishing hateful language from other types of online comments. Together, we explore the intersection of AI, social science, and combating online hostility in the context of politicized science communication.

Don’t miss this thought-provoking discussion on the challenges and opportunities in understanding and addressing hostility towards public figures in today’s digital age. If you have any questions, you can connect with Denise here: Denise Roth - Wageningen University & Research


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