[Air-L] About estimation of quantity of Tweets per keyword

[Jacob Groshek]

Following on here, the Institute for Representation in Society and Media
<https://www.irsm.ai/> (a 501[c][3] nonprofit research organization) offers
its members access to the Meltwater data analytics platform that includes
unlimited Twitter/X data in the past ~18 months for academic research
starting at about $1 per day.


Learn more at https://www.irsm.ai/membership

Thanks,

Jacob
--
Dr. Jacob Groshek
Chair of Emerging Media Research, KSU <https://www.k-state.edu/>
Executive Director, Institute for Representation in Society and Media
<https://www.irsm.io/>
Hon. Associate Professor, Roskilde University
<https://ruc.dk/en/department-communication-and-arts>
Founding Editor, *JoCTEC <http://www.joctec.org/>*

Previously: Erasmus U
<https://www.eur.nl/en/eshcc/research/ermecc/people/research-fellows> |
NeSCoR <http://nescor.socsci.uva.nl/> | Boston Civic Media
<http://bostoncivic.media/> | IAST <http://www.iast.fr/>
jacobgroshek.com | @jacobgroshek <https://twitter.com/jacobgroshek> | google
scholar <https://scholar.google.nl/citations?user=G1XXhccAAAAJ&hl=en>
+1-857-615-4709


On Tue, Oct 8, 2024 at 6:01 AM Shulman, Stu via Air-L <
air-l at listserv.aoir.org> wrote:

> Yes, if the date range is the last 12 months. We can get you up to 20,000
> Tweets for a pilot test via DiscoverText.
>
> Anyone with a valid academic email can book a free meeting for free
> training to get the free data sample:
>
> https://calendly.com/discovertext
>
> Just to reiterate, on the eve of a consequential election in the United
> States, we can get custom Twitter datasets and teach you how to parse them
> in about 30-45 minutes. There is no weeklong, or monthlong, or semester
> requirement to get to a meaningful finding or "ah hah" moment. To my
> knowledge, DiscoverText is the only free scientific platform that (i)
> embeds the Twitter display, (ii) enables crowdsource annotation, and
> (iii-vi) provides tools for measurement of annotator reliability,
> adjudication of disagreements, and production of gold standard training
> sets for an internal machine-learning capability. It does other cool stuff
> as well. If you need datasets larger than 20,000 items, there is a
> corresponding data access and hourly fee. You will learn things about the
> data in the first 5 minutes and they will not be in the form of a word
> cloud.
>
> There is also now TrustDefender.net, which is DiscoverText with some
> upgrades specifically for teaching. One is, we have simplified the
> onboarding of entire classes for collaborative experiments. It's a few
> clicks and everyone gets a license and when they are registered and logged
> in they can collaborate immediately with any other class member of the
> professor via a "peer" network first launched as open source web-based
> software in 2007 at the University of Pittsburgh. As we roll through year
> seventeen providing access to tools, methods, and novel analytical theories
> to academics, I invite you to join the more than 1,000 scholars who have
> published as a result of using our software.
>
> As I note in my first paper written since 2009: "Elon Musk likely prefers
> academics to move on. There is a popular but misleading notion now that
> only extremists, particularly right-wing fans of Tesla, Trump, Putin,
> Russia, and SpaceX, dominate the platform in North America. This is
> demonstrably false. A massive and diverse network of identity, hashtag, and
> political resistance communities is constantly organizing, sharing,
> strategizing, and taking political action to get out voters, raise
> awareness, and trend liberal, progressive, and pro-democracy themes on
> Twitter. Journalists also use Twitter as a real time content filter shaping
> their attention cycle when deciding what to cover. Academics use Twitter to
> network and promote their work. Any serious candidate for political office
> is on Twitter. Academic researchers must access, work with, and report on
> this data."
>
> ~Stu
>
>
>
> On Mon, Oct 7, 2024 at 7:54 PM Xanat Meza via Air-L <
> air-l at listserv.aoir.org>
> wrote:
>
> > Hello everyone,
> > I know that this question might not have an answer given the changes
> > Twitter has gone through in the last year, but I thought it was worth a
> > shot.
> > Is there any online tool that could estimate the quantity of Tweets
> > containing a keyword within a specific time frame?
> > Regards,
> > Xanat V. Meza
> >
> > Ph.D. Kansei, Behavioral and Brain SciencesUniversity of Tsukuba
> > M.A. Media and Communication
> > Yeungnam University
> > B.D. Graphic Communication Design
> > Universidad Autonoma Metropolitana
> > _______________________________________________
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>
>
> --
> Dr. Stuart W. Shulman
> Founder and CEO, Texifter
> Editor Emeritus, *Journal of Information Technology & Politics*
> ResearchGate Profile <https://www.researchgate.net/profile/Stuart-Shulman>
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