[Air-L] Text/Data Mining Software Suggestions: for YouTube, Facebook & Instagram?

[Bernhard Rieder]

Dear colleagues,

I would like to disagree with Brooke here. Facebook data can still be accessed through non-scraping based API-access, most importantly the awesome Facepager.

For Instagram, scraping is indeed the go-to technique (instaloader works very well) and I would like to defend the idea that ToS should not hinder researchers if the social relevance of the topic warrants it. Adhering to corporate policy is not the gold standard for what independent research should strive for, in my view. Proposing topics to people at Facebook may be a strategy for certain topics, but for anything that does not fit within the narrow interests of the platform, this will most likely go nowhere.

For YouTube, you can also check out the YouTube Data Tools that I have been maintaining here: https://tools.digitalmethods.net/netvizz/youtube/

All the best,
Bernhard


> On 10 Nov 2020, at 05:22, Brooke Criswell via Air-L <air-l at listserv.aoir.org> wrote:
> 
> Facebook and Instagram are strict and according to terms and conditions
> they don't allow any data scraping.
> 
> Best try is to propose your study to a researcher at Facebook
> 
> On Mon, Nov 9, 2020, 2:21 AM Alexandre Leroux <alleroux at ulb.ac.be> wrote:
> 
>> Facepager for FB and YT it has a user interface and a decent documentation.
>> 
>> There are scrappers for instagram but those don't comply with the
>> platform terms of use and afaik are terminal only.
>> 
>> 
>> On 6/11/20 14:59, Cristina Migliaccio wrote:
>>> Dear Colleagues,
>>> 
>>> Advance apologies if this question has been addressed (as I am certain it
>>> has been) in some previous forum/email---does an easy to use text/data
>>> mining software/platform exist that works across these 3 social media
>>> platforms: YouTube, Facebook & Instagram?
>>> 
>>> I would like to collect data on alphabetic features but also
>> paralinguistic
>>> features such as likes, shares, etc.
>>> 
>>> Any suggestions whatsoever for a text/data mining beginner would be
>> greatly
>>> appreciated (videos, lectures to this end also appreciated!)
>>> 
>>> Warm thanks-
>>> Cristina Migliaccio
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>> 
>> --
>> Alexandre Leroux
>> Ph.D candidate
>> Group for research on Ethnic Relations, Migrations and Equality (GERME)
>> Université Libre de Bruxelles (ULB)
>> alleroux at ulb.ac.be
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