1/4 Do you want to learn computational social science (for free) and start research projects with scholars from many different fields? The Summer Institutes in Computational Social Science (sicss.io) will run in *THIRTY-ONE* locations around the world in 2022!!!!
2/4 Though many 2022 #SICSS locations hope to run in-person, some will be virtual institutes at a variety of exciting institutions as well. For a full list of sites, see sicss.io (where details about each institute will be posted in the very near future)
3/4 If you are unable to attend one of our 2022 locations, stay tuned for our all new digital curriculum, which will feature video tutorials from dozens of leading scholars in a searchable video database hosted on sicss.io
4/4 Please join me in thanking @jasonrhody, @meg__nord, @SloanFoundation, @RussellSageFdn, @SSRC_org, and all of the other amazing people and organizations who help make #SICSS possible. If you know of funders or other organizations that might support SICSS, pls send them my way!
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YouTube's algorithm is *not* radicalizing people according to a study by leading scholars that examined 29 million YouTube viewing sessions and recently appeared in a prestigious peer reviewed journal: pnas.org/content/118/32…
There is more research/work to be done (especially with experimental designs and on other platforms), but this is the most comprehensive and careful analyses I've yet seen by @homahmrd@aaronclauset@duncanjwatts@markusmobius@DavMicRot and Amir Ghasemian.
And to be clear this does not indicate there are not major issues with extreme content on YouTube (and other platforms)... only that the algorithm does not seem to be the most likely culprit for producing extremism.
1/ Do you feel hopeless about political polarization on social media? Introducing a new suite of apps, bots, and other tools that you can use to make this place less polarizing from our Duke Polarization Lab: polarizationlab.com/our-tools
One of the biggest problems with social media is that it amplifies extremists and mutes moderates, leaving us all feeling more polarized than we really are. Our tools can help you avoid extremists and identify moderates with whom you might engage in more productive conversations.
The Duke Polarization Lab’s Bipartisanship Leaderboard identifies politicians, celebrities, activists, journalists, media outlets, and advocacy groups whose posts get likes from people in both parties: polarizationlab.com/bipartisanship…
Many have expressed skepticism about calls for healing and #depolarization over the past few days. But what does the latest research indicate about the prospects for reconciliation? Let’s look at the #SocSciResearch...1/9
An experiment that asked Democrats and Republicans to discuss politics in person for just 15 minutes improved their attitudes towards each other by *70 percent* compared to a control group. See @m_levendusky ‘s forthcoming book “Our Common Bonds” 2/9
Brief cross-party conversations seem to be effective even if they occur on an online chat platform created to pair partisans to discuss controversial topics (~9 point increase on a 0-100 point “feeling thermometer”. See @erinrossiter’s job market paper (then hire her ;) 3/9
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.
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
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.