Tina Kuo

Tina Kuo is a doctoral candidate at the Chair of Cyber Trust.

Tina is currently working on a project with the TUM Institute for Ethics in Artificial Intellifence (IEAI) and the Max-Planck-Institute for Research on Collective Goods (MPG) investigating how AI-driven online interventions can be personalized to drive ethical/privacy-friendly user behaviors and reduce undesirable behavior, such as cyber-bullying and spreading fake-news.

Her current work explores online community dynamics and moderation, focusing particularly on the usage, adoption, and effect of moderation tools and the strategies used to shape and govern online communities. She hopes her work on personalizating AI-driven moderation technology will facilitate the design of more supportive online communities and improve user experience of online social platforms and moderation tools.

Tina has a Master of Science in Human Factors Engineering & Ergonomics from the Technical University of Munich in 2019 and Bachelor of Arts in Architecture from Columbia University in 2014. Tina has experience working in UX research, strategy consulting, and financial services in New York, Munich, and London. Prior to joining the Chair as a Research Associate, she conducted usable privacy research on personalization of privacy communications in collaboration with the Chair of Cyber Trust and former privacy-focused search engine, Cliqz GmbH.

https://ieai.mcts.tum.de/research/personalized-ai-based-interventions-against-online-norm-violations/

Email: tina.kuo@tum.de | Phone: +49 (89) 257 - 17742

Publications

  1. Tina Kuo, Alicia Hernani, & Jens Grossklags (2023) The Unsung Heroes of Facebook Groups Moderation: A Case Study of Moderation Practices and Tools. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), Article No. 97. Open Access
  2. Nam Gu Kang, Tina Kuo, & Jens Grossklags (2022) Closing Pandora’s Box on Naver: Toward Ending Cyber Harassment. Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM), pp. 465-476. Acceptance rate = 20% (full technical papers). Publisher Version (Open Access)
  3. Niklas Cypris, Tina Kuo, Lorenz Weber, Julia Sasse, Jens Grossklags, & Anna Baumert (2021) Leveraging Group Identity to Counter Online Hate Speech. Proceedings of the 12th Media Psychology Conference 2021 (MediaPsych 2021), pp. 55-58. Extended Abstract. Publisher Version (Open Access)