[Air-L] Chinese language social media data mining tools

Wed May 10 06:45:40 PDT 2017

Hi Gillian

Sorry to hijack the conversation a bit, but just to say that this is VERY interesting to a separate network/mailing list that I administrate called PaSS (Programming-as-Social-Science): https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=PASS 

In my experience, for the most part, there are large communities of social science researchers who do internet/digital-type research but have been slow to uptake actual coding skills for various reasons. So the idea of PaSS has been to kickstart discussions around precisely these topics, as an interdisciplinary network for researchers interested in programming both as a research device and an object of study, particularly around the methodological innovations happening through social science usages of digital data.

All of this is to say that anyone who is interested in exploring these issues further, please do feel free to subscribe to PaSS via the link above (and Gillian, this might provide some added bonus material to what is going on within this thread, if you send an email out there too?)!

Best

Phil Brooker

________________________________________
From: Air-L <air-l-bounces at listserv.aoir.org> on behalf of Gillian Bolsover <gillian.bolsover at oii.ox.ac.uk>
Sent: 10 May 2017 14:33
To: Stefania Vicari; Helen Kennedy
Cc: air-l at listserv.aoir.org
Subject: Re: [Air-L] Chinese language social media data mining tools

As part of my PhD, I did a lot of research based on data collected from both Weibo and Twitter. Finding few existing, functional tools, I wrote custom python codes to download and process various sorts of data from both Twitter and Weibo, including a code to tokenize weibo posts.

Seeing this thread brings up an issue I have been thinking about in terms of how the community of Internet researchers work with code. Other academics I know who work in sciences share all their codes online (git hub etc.), have a practice of working together to debug this code and receive academic credit when their codes are used by others. I’ve seen very little of this in social science research.

Are there any Internet researchers who share code they have created who could advise as to what their practices are in this regard? Is there any sort of standard among Internet researchers (and should there be) in terms of sharing code created for academic purposes with other academics?

Gillian Bolsover
Researcher
Oxford Internet Institute
University of Oxford
PGP Key: 17EC60B3

________________________________________
De : Air-L [air-l-bounces at listserv.aoir.org] de la part de Stefania Vicari [s.vicari at sheffield.ac.uk]
Envoyé : mardi 9 mai 2017 19:51
À : Helen Kennedy
Cc : air-l at listserv.aoir.org
Objet : Re: [Air-L] Chinese language social media data mining tools

It may be worth looking at: https://api.anacode.de/landing/

Best,
S

On 9 May 2017 at 16:58, Helen Kennedy <h.kennedy at sheffield.ac.uk> wrote:

> Hello clever AOIR folks
>
> Asking for postgrad students: any recommendations of social media data
> mining tools that work on Chinese social media platforms / with Chinese
> languages?
>
> Thanks!
>
> Helen
>
>
> --
> Professor Helen Kennedy, Chair in Digital Society
> Department of Sociological Studies / Faculty of Social Sciences
> Elmfield, Northumberland Road
> Sheffield S10 2TU
> T: 0114 2226488
> E: h.kennedy at sheffield.ac.uk
>
> LATEST ARTICLE: *'*The Feeling of Numbers: emotions in everyday engagements
> with data and their visualisation
> <http://journals.sagepub.com/doi/abs/10.1177/0038038516674675?journalCode=
> soca>',
> *Sociology*, 2017.
> _______________________________________________
> The Air-L at listserv.aoir.org mailing list
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>
> Join the Association of Internet Researchers:
> http://www.aoir.org/

--
Stefania Vicari
Senior Lecturer in Digital Sociology
Programme Manager for the MA Digital Media and Society
Department of Sociological Studies
The University of Sheffield
Elmfield, Northumberland Road
Sheffield S10 2TU

Webpage:
http://www.sheffield.ac.uk/socstudies/staff/staff-profiles/stefania-vicari
Email: s.vicari at sheffield.ac.uk
Twitter: @stefaniavicari <https://twitter.com/stefaniavicari>

Recent paper: Vicari, S. & Cappai, F. (2016) Health Activism and the Logic
of Connective Action
<http://www.tandfonline.com/doi/full/10.1080/1369118X.2016.1154587>.
*Information,
Communication & Society* 19(11): 1653-1671.
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