If any academic researchers gain access to this new API but need a web-based platform for legal, collaborative, data management and media-rich engagement with the data, we will happily sponsor the first 10 academic teams with free access to DiscoverText, as well as free project consultation and training for all of 2021 for up to 10 users per group. Search, filter, cluster, human code, and machine classify in a Twitter-compliant interface. See and label Tweets live in the native Twitter display rather than in spreadsheets. No programming. Just point & click. Measure inter-rater reliability. Adjudicate differences between human annotators. Create gold standard training sets. Perform word sense disambiguation to clean data at scale. Generate highly focused subsets for use in Gephi or other network analysis tools. DT Tutorials https://vimeo.com/showcase/5553857 DT Mentions in Scholarly Works https://www.discovertext.com/Mentions If you get the approval, we will ensure the project succeeds and remains compliant with the Twitter Terms of Service. This is our 11th year of sponsoring, training and advising academics in one form or another. Please book a meeting to discuss the opportunity: https://calendly.com/discovertext ~Stu On Tue, Jan 26, 2021 at 3:27 PM Richard Forno <rforno@infowarrior.org> wrote:
FYI ...
Enabling the future of academic research with the Twitter API
When we introduced the next generation of the Twitter API in July 2020, we also shared our plans to invest in the success of the academic research community with tailored solutions that better serve their goals. Today, we’re excited to launch the Academic Research product track on the new Twitter API.
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https://blog.twitter.com/developer/en_us/topics/tips/2021/enabling-the-futur... _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
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