Tweet

Chris Bail

9 Sep, 7 tweets, 2 min read

1/n Are you a *complete beginner* in computational social science who wants to learn how to code? I'm happy to announce our new "coding bootcamp" video tutorials for the Summer Institutes in Computational Social Science: compsocialscience.github.io/summer-institu…

2/n I cover everything from setting up Rstudio to data cleaning (and "wrangling"), visualization, programming, modeling, communicating (w/Markdown, Rpres, and Shiny) as well as collaboration w/Github

3/n Though there are MANY great intro tutorials out there, this one is designed with computational social scientists in mind-- it offers examples w/ Twitter data, mobility data for COVID-19, and data about the opioid crisis.

@msalganik

4/n The curriculum is designed to prepare people to participate in the regular curriculum of the Summer Institutes in Computational Social Science, which is now *all online* featuring nearly twenty hours of lectures from me and @msalganik

5/n We hope these new video tutorials will help remove barriers to access the field, explain jargon/domain knowledge, and stimulate more social scientists to learn how to code.

6/n We will be adding new quizzes/other learning materials over the coming months, but in the meantime, please use them however you want- and if you would be so kind to send us feedback about what might be better, we can try to make them even better for #SICSS next year.

7/n forgot to mention its COMPLETELY FREE thanks to the generous support of the Alfred P. Sloan Foundation.

• • •

Missing some Tweet in this thread? You can try to force a refresh

Keep Current with Chris Bail

Stay in touch and get notified when new unrolls are available from this author!

This Thread may be Removed Anytime!

Twitter may remove this content at anytime! Save it as PDF for later use!

More from @chris_bail

Chris Bail

@chris_bail

26 Jun

1/n How do computational social scientists land non-academic jobs? I asked this question to a panel of senior leaders in for-profit and non-profit companies on a wonderful webinar yesterday, and I’d like to share what I learned:

2/n The cadence of non-academic work is very different. Academics like to take their time developing the perfect research design, but in other settings, people need answers, fast. Also, many academics are used to working alone, whereas most non-academic work is team-based.

3/n You need a good elevator pitch—one that makes it immediately clear how you can add value to a business or organization, BUT

Read 6 tweets

Chris Bail

@chris_bail

25 Nov 19

1/n Did Russian trolls actually influence the attitudes and behaviors of U.S. social media users? Our Polarization Lab’s new article suggests the answer might be “no” pnas.org/content/early/…

2. Many people think Russian trolls exerted strong influence upon U.S. social media users because of the sheer scale and apparent sophistication of their techniques. There is also anecdotal evidence that IRA accounts succeeded in inspiring American activists to attend rallies.

3. Though many studies have analyzed the content and strategy of these campaigns, to our knowledge, no studies have examined whether they actually shaped the attitudes or behaviors of large groups of U.S. social media users.

Read 18 tweets

Chris Bail

@chris_bail

14 Dec 18

1/5 Interested in learning how to collect and analyze social media data using topic models, text networks, or word2vec? I'm pleased to announce I am releasing an open source version of my "Text as Data" class from Duke's Data Science program: cbail.github.io/textasdata/Tex…

@polarization

2/5 The course website (above) includes tutorials on a range of subjects with annotated R code. The class assumes basic knowledge of R and describes the techniques we use in the @polarization lab to run studies like this: pnas.org/content/115/37… and this: pnas.org/content/113/42…

3/5 All datasets used in the tutorials are hosted on my Github site, which also includes all source files for the tutorials themselves: github.com/cbail

Read 5 tweets

Chris Bail

@chris_bail

8 Sep 18

@nytimes

1/8 Did you know that Twitter is experimenting with new features that would expose its users to opposing political views? In this @nytimes piece, I describe why this idea could backfire based upon a large online experiment recently conducted by my lab: nyti.ms/2Nu45gL

2/8 We surveyed, 1,225 Republican and Democratic Twitter users about their views on social policies. One week later, we offered them money to follow a Twitter account which they were told would tweet 24 times each day for one month. They were not told what the bots would tweet.

3/8 The Twitter account gradually began tweeting messages from politicians, media organizations, and advocacy groups with opposing political views. We tracked whether people paid attention by asking them questions about these messages.

Read 9 tweets

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Share this page!

Chris Bail

Try unrolling a thread yourself!

More from @chris_bail

Chris Bail

Chris Bail

Chris Bail

Chris Bail

Did Thread Reader help you today?

Like this author's thread?