Botometer @Botometer

Tool to calculate likelihood an account is automated (a bot). Formerly known as BotOrNot, part of OSoMe at IU. Pls read FAQ before asking about permissions! botometer.osome.iu.edu Bloomington, IN Joined April 2014

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Observatory on Social Media @OSoMe_IU

a week ago

🚨 First OSoMe Awesome Speaker of the year! 🚨 📅 Sept 12 | 12pm ET 🎤 Patrick Warren (Clemson University) 📍 Zoom Measuring the Impact of a Large State-Sponsored Narrative-Laundering Campaign: The case of the Storm-1516 attack on Zelensky 🔗 Register: iu.zoom.us/meeting/regist…

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Observatory on Social Media @OSoMe_IU

2 weeks ago

Deepfake videos impersonating real doctors push false medical advice and treatments. What could possibly go wrong? (This Is why we need both research and policy to fight AI abuse.) cbsnews.com/news/deepfake-…

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Observatory on Social Media @OSoMe_IU

2 weeks ago

Antivax disinfo works, sadly. nbcnews.com/tech/internet/…

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Observatory on Social Media @OSoMe_IU

3 weeks ago

Russia is churning out fake content posing as US news. Trump has killed the federal agencies tasked with cracking down on this junk, while his people amplify it. politico.com/news/2025/08/1…

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Observatory on Social Media @OSoMe_IU

3 weeks ago

The latest CITR report tells the story of how independent tech research is being systematically undermined even as the need for it has never been greater: independenttechresearch.org/citr-report-20…

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Observatory on Social Media @OSoMe_IU

a month ago

You can now donate to support OSoMe!! osome.iu.edu/about/donate

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Observatory on Social Media @OSoMe_IU

a month ago

🎉 After 8 amazing years, Hoaxy is retiring! Its legacy lives on in OSoMeNet—our new, unified tool for social media research. Thank you for supporting Hoaxy! 🙌 osome.iu.edu/tools/osomenet/

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Observatory on Social Media @OSoMe_IU

4 months ago

Our team just launched three new tools to help you explore social media data: 🌉NewsBridge – Adds AI-powered context to Facebook posts 🔎Barney’s Tavern – Search 34B social media posts 🌎OSoMeNet – Visualize how info spreads across platforms osome.iu.edu/research/blog/…

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Ozgur Can Seckin @ozgurcanseckin

5 months ago

All is done by my wonderful co-authors here! @moondark, @btrantruong, @clearingkimsy, Fan Huang, Nick Liu, Alessandro Flammini, Filippo Menczer, @OSoMe_IU

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Ozgur Can Seckin @ozgurcanseckin

5 months ago

Note that a toxic post is defined as a post with >.5 toxicity score from OpenAI moderation endpoint. platform.openai.com/docs/guides/mo…

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Ozgur Can Seckin @ozgurcanseckin

5 months ago

As Bluesky continues to mature, influential accounts are emerging, posing familiar risks of misinformation, abuse and toxicity on platform. Understanding these dynamics can help inform effective governance and moderation strategies moving forward.

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Ozgur Can Seckin @ozgurcanseckin

5 months ago

Our analysis reveals that Bluesky rapidly developed a dense, highly clustered network structure. This "friend-of-a-friend" connectivity, characterized by strong hubs, enables swift and viral information diffusion, similar to established platforms such as Twitter/X and Weibo.

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Ozgur Can Seckin @ozgurcanseckin

5 months ago

Despite initial bursts and declines in total and average activity, Bluesky achieved a stable level of daily engagement, with around 15% active users after the US Elections, matching inactivity rates on X/Twitter (~85% lurkers).

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Ozgur Can Seckin @ozgurcanseckin

5 months ago

Bluesky's growth was driven by key events: the public access launch, Brazil's ban on X, X's block policy change, and the US elections. Each event triggered significant user migrations and formed distinct communities.

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Ozgur Can Seckin @ozgurcanseckin

5 months ago

Paper alert! 🚨 We investigate Bluesky from an invitation only platform with a few thousands of users to reaching 30 million users in terms of user activity and network. 📄 Full paper: arxiv.org/abs/2504.12902 💻 Codes: github.com/osome-iu/rise_… 💾 Dataset: zenodo.org/records/150660…

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Observatory on Social Media @OSoMe_IU

5 months ago

Maintenance is finally complete! Botometer X and the rest of our tools are functioning properly again! 🎉

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Observatory on Social Media @OSoMe_IU

5 months ago

New paper: Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media Simulations informed by social media data yield a worst-case bound on additional infections due to exposure to online vaccine misinfo. nature.com/articles/s4426…

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Observatory on Social Media @OSoMe_IU

6 months ago

🚨 Can crowdsourced moderation improve online discourse? 🚨 Join us March 5 at 12PM ET for a virtual talk with Dr. Amy Zhang on how platform design can empower users to moderate content & improve information quality at scale. 🔗 Register now: iu.zoom.us/meeting/regist…

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Observatory on Social Media @OSoMe_IU

7 months ago

Don't forget our OSoMe Awesome Speaker @dfreelon tomorrow!

Observatory on Social Media @OSoMe_IU

8 months ago

Don't forget our OSoMe Awesome Speaker @dfreelon tomorrow!

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Observatory on Social Media @OSoMe_IU

8 months ago

🔊 Don’t miss our next OSoMe Awesome Speaker: Dr. Deen Freelon! 📅 Feb 6, 12 PM ET | 💻 Online 📢 Computational Research in the Post-API Age 🔗 Register: iu.zoom.us/meeting/regist…