[Air-L] social media research tools?

[Cristian Camilo Jiménez]

Hi Mel,

I hope you find well,

I am Cristian Ruiz and currently am involved in a project called SMART (It means Social Media Research Techniques),
part of iNova Media Lab, NOVA/FCSH. A Lisbon based initiative of digital media research and development.

As a quick advice to your goals I suggest to check the DMI (Digital Methods Initiative) Tools. For Facebook strongly recommended
Netvizz and Twitter would be great if you could get access to T-Cat. Another great option for your students would be Netlytic, useful in many ways. An important thing to keep in mind when research with Digital Methods is to identify clearly the object desired to analyse, since social media have been shown that can contribute elements to different areas of sciences since geography to health sciences. It would define which is the best tool to use.

I would like to share you finally a presentation I did for a data sprint project that we have been coordinating in SMART every year, since 2017: https://www.slideshare.net/CristianCamiloJimnez3/data-extraction-tools<https://www.slideshare.net/CristianCamiloJimnez3/data-extraction-tools>

<https://www.slideshare.net/CristianCamiloJimnez3/data-extraction-tool>Try to follow Janna Jocelli's Slideshares and Bernhard Rieders ones, they are indeed best references in this field.


Please feel free to contact me if you need any other reference or suggestion, I would be glad to help and also glad to know a bit more on the composition of your class.


Best regards,

--
Cristian Jiménez Ruiz
@CristianCJRuiz
M.a. Communication Sciences
SMART Research Member
iNovaMediaLab – NOVA/FCSH



________________________________
De: Air-L <air-l-bounces at listserv.aoir.org> en nombre de Yu Schuen <yu.shih.hsuan at gmail.com>
Enviado: viernes, 1 de junio de 2018 8:20 a.m.
Para: Mel Stanfill
Cc: air-l at listserv.aoir.org
Asunto: Re: [Air-L] social media research tools?

Hello Mel,

- Just a quick feedback. If quantitative for network analysis, take a look
at *netvizz* (you can find the service through FB search engine; it
produces network data with the group or the page id given.) You can use*
Gephi *to demonstrate and visualize the page network data exported by
netvizz. As far as I am concerned, this combination is relatively common
for initial attempt.

- Though not so relevant to tweets and facebook, recently I found a tool
for LinkedIn network, socilab.com. LinkedIn member can look into their own,
basic network metrics. In case this might be interested

- for textual-visual annotation tool (memes, for example), I used to check
the trial version of MAXQDA to go through threads of conversations in a
huge facebook group.

Shih-Hsuan Yu


On 1 June 2018 at 14:44, Mel Stanfill <mstanfill at gmail.com> wrote:

>  Hi all,
>
> I am teaching a social media research class in the fall and I’m looking for
> suggestions for tools I should teach my students. Right now, they’re all
> collecting and analyzing tweets and Facebook memes and whatever else by
> hand, and I want to diversify the things they know how to do with some
> technological options.
>
> Apologies if this has been asked recently--the listserv archive is not the
> most searchable thing. Also, I suspect some tools have recently broken
> given shifts around privacy.
>
> I’m mostly platform agnostic right now—I’ll look at what the options are
> and work backwards from there to which ones I want to teach. What can you
> recommend?
>
> I’m happy to compile the suggestions and share with the list.
>
> Thanks,
>
> Mel Stanfill, PhD
> Assistant Professor
> Texts & Technology / Digital Media
> University of Central Florida
> http://www.melstanfill.com
Mel Stanfill | Bringing Foucault to fandom since 2006.<http://www.melstanfill.com/>
www.melstanfill.com
Mel Stanfill . Assistant Professor Texts and Technology and Digital Media University of Central Florida


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