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

Tue Oct 8 06:00:38 PDT 2024

To build on Jacob's post, we engineered a Meltwater-specific
DiscoverText/TrustDefender upload option for the spreadsheets that platform
produces. Once those Meltwater spreadsheets are ingested, the authentic
Twitter display is used for reviewing the individual data points, while
blocking deleted or suspended content in real time to achieve compliance
with Twitter's ToS. The ISRM is a very practical solution more scholars
should adopt. Just as we wrote grants and paid to travel for interviews and
focus groups, paid for transcription and interpreting services, and paid
for other traditional data services in the past, this is a manageable paid
option. While it is not the API era, it is far better than no data at all.

On Tue, Oct 8, 2024 at 8:37 AM Jacob Groshek <jgroshek at gmail.com> wrote:

> 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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>

-- 
Dr. Stuart W. Shulman
Founder and CEO, Texifter
Editor Emeritus, *Journal of Information Technology & Politics*
ResearchGate Profile <https://www.researchgate.net/profile/Stuart-Shulman>