Academic Research

Measuring exposure to misinformation from political elites on Twitter. Mohsen Mosleh & David G. Rand. Nature Communications. [Political Science].

Evaluating Reddit as a Crowdsourcing Platform for Psychology Research Projects. Raymond Luong and Anna M. Lomanowska. Teaching of Psychology. [Psychology]. 

Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review. Courtney Takats, Amy Kwan, Rachel Wormer, Dari Goldman, Heidi E. Jones & Diana Romero. JMIR Public Health Surveillance. [Public Health]. 

The Role of Legacy Media and Social Media in Increasing Public Engagement About Violence Against Women in Turkey. Ozen BasLink, Christine L. Ogan & Onur Varol. Social Media + Society. [Communications].

YouTube and Education: A Scoping Review. A. Shoufan and F. Mohamed. IEEE Access. [Computer Science].

Popular Press

Googling abortion? Your details aren’t as private as you think. Johana Bhuiyan, The Guardian. Exclusive: a study shows the company has a long way to go in upholding its pledge to protect users. 

Musk’s Twitter Shake-Up Could Deliver a Critical Blow to Social Media Research. Zeve Sanderson, Jonathan Nagler & Joshua A. Tucker, The Hill. We still don’t know the extent of what Musk has actually changed within Twitter. But without mandated data access for researchers, we risk never knowing their impact on society as well.

Calls for Papers

e-Society 2023 conference. March 11-13, 2023, Lisbon, Portugal. Deadline: December 12, 2022. This conference covers both the technical as well as the non-technical aspects of the Information Society. Broad areas of interest are e-Government/e-Governance, e-Business / e-Commerce, Technology and Society, e-Learning, New Media and E-Society, e-Health, Information Systems, Information Management and COVID-19 & Digital Transformation. 

International Data Science Conference. May 1-3, 2023, Krems, Austria. Deadline: January 15, 2023. On both conference days, we are presenting the results of innovative research into data mining, machine learning, data management, and the entire spectrum of data science, as well as current quantitative and qualitative research, examining the application of data to find new and innovative solutions for societal and economic challenges. Invited are all contributions in the area of data science in general, artificial intelligence, the internet of things, industry, and production 4.0, as well as computational social sciences.

Calls for Proposals

Human Networks and Data Science (HNDS) - Research. NSF. Deadline: January 12, 2023. The Human Networks and Data Science program (HNDS) supports research that enhances understanding of human behavior by leveraging data and network science research across a broad range of topics.

We would like to thank the S3MC funders for supporting this newsletter, with special thanks to the McCourt School’s Massive Data Institute (MDI) at Georgetown University.