1/n Want to learn about computational social science this summer? We are posting high-quality video lectures of ALL the material from the Summer Institutes in Computational Social Science (#SICSS2020) by @msalganik and I over the next few weeks! compsocialscience.github.io/summer-institu…
2/n These videos cover a range of different topics from ethics to text analysis, digital field experiments, mass collaboration and many other topics (only the first few days of material is up there now, but more will be added soon)
I've updated many of my lectures to cover content related to #COVID19/ #coronavirus . In the video below, I explain how to collect tweets related to the pandemic, and work through basic concepts like credentialing and rate limiting step by step:
All lectures assume basic knowledge of R. If you don't yet know R, there are so many wonderful resources online to get you started, here is one of my favorites from @rstudio : education.rstudio.com
P.S. Stay tuned for more exciting announcements about #SICSS2020, including a big one coming up soon from @msalganik that will involve workshops with many of our amazing alumni!
1/ Before you share this, please consider taking a closer look at the data. This graphic makes it look like all Republicans are anti-science, and all Democrats are pro-science. The reality is probably much different; here's why:
2/ People who answered this question about their confidence in the scientific community only had four choices: "1) A great deal; 2) Only some; 3) Hardly any; 4) Don't know." People who had significant trust in science but not a great deal had no valid response category.
3/ The first red flag is that >10% of people responded "don't know"-- possibly out of frustration. But let's look at the breakdown of those who said "only some" by party that I made (below). Suggests a somewhat different story....
1/ The *last* thing we need right now is more untested speculation about how to fix social media. We have *research* that can help us evaluate @elonmusk’s proposals to transform Twitter, and many of these studies might inspire him to throw some cold water on his plans 🧵
2/ CLAIM #1: Twitter is applying content moderation unevenly and persecuting people with certain political beliefs more than others. RESEARCH: Twitter is probably not unfairly persecuting conservatives:
3/ If anything, Twitter is probably *amplifying* conservative voices— not only in the U.S. but other countries as well (or at least the voices of elected officials): pnas.org/doi/10.1073/pn…
It’s a compelling idea, but 6% of Twitter users currently generate about 76% of all political content on the platform, and those 6% people are overwhelmingly from the extremes.
Some important possible limitations of @elicitorg are mentioned here by @emilymbender-- To her concerns I would also add that I do not think large language models should replace careful human-led literature reviews, rather that I think they can perhaps usefully augment them.
Perhaps she is right that my thread was too "hype-y"-- I was mostly excited because I have seen so few examples of ML applied to human tasks that work so well. In any case, I encourage folks to read her thread (and @elicitorg 's response as well).
If you are new to machine learning and social science/human applications, I recommend starting with @msalganik 's Fragile Families challenge: pnas.org/doi/10.1073/pn…
1/ Can A.I. do our literature reviews for us? Stop everything and try elicit.org, an amazing new tool that uses large language models to answer research questions via empirical research- in the video below I ask it "Does social media negatively impact mental health?"
2/ It immediately finds several of the most important reviews, and further refines results after you give it feedback. For now, it's limited to Semantic Scholar, which only covers about 60% of research articles, but the proof of concept here is amazing... And there's more:
3/ Even more impressive, it includes tools to help you a) find definition of concepts (like "social media") and even identify unanswered research questions: here I ask it to create a series of research questions about whether social media increases depression.
2/ I’m worried we’ve simply accepted the status quo— especially because most of our current platforms were never designed to be democracy’s public square.
3/ If we could redesign social media from scratch, where should we begin? Might the social and behavioral sciences help us identify how to optimize the good and bad parts of social media?