Web Science is an interdisciplinary field dedicated to understanding the complex and multiple impacts of the Web on society and vice versa. The discipline is well situated to address pressing issues of our time by incorporating various scientific approaches. We welcome quantitative, qualitative and mixed methods research, including techniques from the social sciences and computer science. In addition, we are interested in work exploring Web-based data collection and research ethics. We also encourage studies that combine analyses of Web data and other types of data (e.g., from surveys or interviews) and help better understand user behaviour online and offline.
Inequalities in the Face of Concurrent Crises
Web-based technologies promise to lower the entry barrier for geographically-dispersed individuals to participate in professional and creative activities. Especially in the aftermath of the pandemic and growing international tensions, such technologies have become critical to our lives. Yet, disparities between groups exist across digital spaces, including digital news, social media, and peer production. Research documenting inequities in representation, engagement, visibility, and success is essential to understand how various racial, ethnic, and gender groups rebound from multiple concurrent crises. This year’s conference expressly calls for contributions documenting differential uses of online spaces and discussing ways to address emerging differences.
Important Dates
- Submissions: November 30, 2022
- Notification: January 31, 2023
- Camera-ready: February 28, 2023
All dates are 23:59 Anywhere on earth time
While most of us will have to wait for another couple of weeks before being able to read through all the great contributions to #WebSci23, our Best Paper Committee (@KristinaLerman and @rhodiuslin) is already deliberating on the award candidates... Stay tuned!
Together with @ACM_SIGWEB, we are pleased to announce the availability of a fund to help support attendance at the #WebSci23 conference, taking place in Austin, TX from April 30th to May 1st! 🧵 1/4
Short medium article on my recent #WebSci23 paper if you do not like Twitter threads.
You can also listen to it!
It is dubbed by Emma from the U.S.A., or by Harry from the U.K. or by Ananya from India! 4 minutes of nice, science podcast ;D
https://tugrulcanelmas.medium.com/the-impact-of-data-persistence-bias-on-social-media-studies-d0a951681b61
What happens if you collect tweets mentioning QAnon in 2023 to analyze?
You'll only get a bunch of Democrats criticizing the theory, as 85% of the tweets are no more!
*My* paper "The Impact of Data Persistence Bias on Social Media Studies" is accepted to @WebSciConf!
Details🧵