How Science is (mis)communicated in Online Media

Ágnes Horvát is an Assistant Professor in Communication and Computer Science at Northwestern University. Her work focuses on understanding how online networks induce biased information production, sharing and processing across digital platforms. - The new Post-normal era for science - Having an awareness of the context and values that impact scientific researchWhere is science communication in relation to digital platforms? - Scholars work hard on discovering scientific findings, but information doesn’t always reach the public appropriately.  How to communicate scientific research - it’s not just about communicating with scientists and general audiences. News needs to reach policymakers and governments too for real change.The production of scientific research has exploded recently thanks to decision-making demands - and the pandemic had a lot to do with this. Scientists were under pressure to carry out research quickly and at the expense of quality. Misinformation can have detrimental consequences - even leading to vaccine hesitancy in some communities.The surprising effect of retracting papers - papers that get retracted in the future are more likely to receive more engagement before getting withdrawn.Why are paper retractions on the rise?  - again, the recent pandemic has caused an increase in retractions. Is social media helping or hindering science research? - while the platforms are helping to  spread real news, social media also helps the spread of false information. As long as you have quality data and robust trends - regardless of the method, you will identity that trend. Reducing the problem of miscommunication - with whom does the responsibility lie?

Om Podcasten

Welcome to the Data Science Conversations Podcast hosted by Damien Deighan and Dr Philipp Diesinger. We bring you interesting conversations with the world’s leading Academics working on cutting edge topics with potential for real world impact. We explore how their latest research in Data Science and AI could scale into broader industry applications, so you can expand your knowledge and grow your career. Every 4 or 5 episodes we will feature an industry trailblazer from a strong academic background who has applied research effectively in the real world. Podcast Website: www.datascienceconversations.com