How Science Is (Mis)Communicated in Online Media
Visiting speaker
Ágnes Horvát
Associate Professor, Northwestern University
Most academics are promoting their work online. At the same time, the public, journalists, and interested governments increasingly turn to the Web for scientific information. It thus becomes ever more critical that we better understand the dynamics of online science dissemination networks. My talk presents our latest results about (1) how scientific publications spread on various types of online platforms, losing essential information; (2) how gender and ethnic inequalities impact the coverage of scholarship; and (3) how subsequently retracted articles receive more attention online. Our findings highlight crucial biases in the online sharing of science. They inform efforts to close gaps in scholars' success and curb the online spread of science-related misinformation.
About the speaker
About the speaker
Ágnes Horvát is an Associate Professor in Communication and Computer Science (by courtesy) at Northwestern University. Her research lies at the intersection of social computing, computational social science, and communication. Using interdisciplinary approaches from network and data science, her research group, the Lab on Innovation, Networks, and Knowledge (LINK), investigates how networks induce biased information production, sharing, and processing on digital platforms. For example, they study the impact of networks and diversity on scholarly communication, identify expressions of collective intelligence and opportunities for innovation in crowdsourcing communities, and develop tools to support creativity and predict success in culture industries. Professor Horvát is the recipient of several awards, including the US National Science Foundation’s CAREER Award. She received her PhD in Physics from the University of Heidelberg, Germany.
Ágnes Horvát is an Associate Professor in Communication and Computer Science (by courtesy) at Northwestern University. Her research lies at the intersection of social computing, computational social science, and communication. Using interdisciplinary approaches from network and data science, her research group, the Lab on Innovation, Networks, and Knowledge (LINK), investigates how networks induce biased information production, sharing, and processing on digital platforms. For example, they study the impact of networks and diversity on scholarly communication, identify expressions of collective intelligence and opportunities for innovation in crowdsourcing communities, and develop tools to support creativity and predict success in culture industries. Professor Horvát is the recipient of several awards, including the US National Science Foundation’s CAREER Award. She received her PhD in Physics from the University of Heidelberg, Germany.
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