The Social Science and Social Media Collaborative
Have established models of social and political processes lost their predictive power?
Recent events, such as incorrect predictions of the 2016 election outcome and the spread of misinformation, present an opportunity to challenge old models with new sources of data.
The abundance of data from social media presents an opportunity to understand social and political trends better.
But first, researchers must address issues concerning the use of this data. Is it representative? Are users honest about their thoughts? Is the collection and processing of the data unbiased and accurate?
This study incorporates three parallel projects to address these issues and harness the opportunity to use new data to gain a better understanding of social and political phenomena.
Each of the three projects have specific substantive focus areas, but are linked through the use of data science methods, big data resources, and the use of high performance computing.
Researchers affiliated with S3MC gave several presentations at DEVSEC: Conference on the Use of Secondary and Open Source Data in Developmental Science in Phoenix, Arizona, October 4-6, 2018.
Georgetown University Provost Robert Groves published a blog post about S3MC's exploration of how new internet-affiliated sources of data can inform traditional social science questions. Read the full text...
Analysis: Democrats are twice as likely as Republicans to name Trump as a reason for their pick in congressional elections
When asked why they planned to vote the way they reported, respondents to a new poll were more than twice as likely to mention President Trump if they planned to vote for a Democrat. The poll and analysis are part of a collaboration between...
Please save the date for the upcoming 2018 MIDAS Annual Symposium, titled “Serving Society through Data Science,” to be held October 8-9 at the Rackham Building. We’re excited to bring several preeminent data scientists to Ann Arbor as featured speakers, to hear about...