Community Data Science Collective at ICA 2021

As we do every year, members of the Community Data Science Collective will be presenting work at the International Communication Association (ICA)’s 71st Annual Conference which will take place virtually next week. Due to the asynchronous format of ICA this year, none of the talks will happen at specific times. Although the downside of the virtual conference is that we won’t be able to meet up with you all in person, the good news is that you’ll be able to watch our talks and engage with us on whatever timeline suits you best between May 27 and and 31st.

This year’s offerings from the collective include:

Nathan TeBlunthuis will be presenting work with Benjamin Mako Hill as part of the ICA Computational Methods section on “Time Series and Trends in Communication Research.” The name of their talk is “A Community Ecology Approach for Identifying Competitive and Mutualistic Relationships Between Online Communities.”

Aaron Shaw is presenting a paper on “Participation Inequality in the Gig Economy” on behalf of himself, Floor Fiers and Eszter Hargittai . The talk will be as part of a session organized by the ICA Communication and Technology section on “From Autism to Uber: The Digital Divide and Vulnerable Populations.”

Floor Fiers collaborated with Nathan Walter on a poster titled “Sharing Unfairly: Racial Bias on Airbnb and the Effect of Review Valence.” The poster is part of the interactive poster session of the ICA Ethnicity and Race section.

Nick Hager will be talking about his paper with Aaron Shaw titled “Randomly-Generated Inequality in Online News Communities,” which is part of a high density session on “Social Networks and Influence.”

Finally, Jeremy Foote will be chairing a session on “Cyber Communities: Conflicts and Collaborations” as part of the ICA Communication and Technology division.

We look forward to sharing our research and connecting with you at ICA!

UPDATE: The paper led by Nathan TeBlunthuis won the best paper award from the ICA Computational Methods section! Congratulations, Nate!


Discover more from Community Data Science Collective

Subscribe to get the latest posts sent to your email.

Leave a Reply