[Air-L] Twitter Chatbots

Marcela Canavarro mcanavarro at gmail.com
Fri Sep 27 11:57:04 PDT 2019


This one is not about bots but it may bring good clues on network strength,
using a few metrics available on gephi:

https://www.tandfonline.com/doi/abs/10.1080/1369118X.2015.1043315



On Friday, September 27, 2019, Mark Chen <markchen at u.washington.edu> wrote:

> Hi,
>
> It's been in the news a bit over the last couple of years so that might be
> a good place to start.
> https://www.buzzfeed.com/alexspence/nigel-farages-
> brexit-party-twitter-following
>
> https://journals.sagepub.com/doi/abs/10.1177/0894439317734157?journalCode=
> ssce
>
> mark
>
> On Fri, Sep 27, 2019 at 6:54 AM Natalie Rock <drnatalierock at gmail.com>
> wrote:
>
> > This one is out of my wheelhouse but maybe you know!I have a student who
> > wants to investigate the impact Twitter chatbots have on framing
> political
> > conversations, driving specific discussions, and determining voter
> > intentions. His focus is the Brexit referendum.
> >
> > He wants to first classify tweets as coming from bots and then measure
> the
> > impact of the tweets using three elements: strength of network
> connection:
> > how important the influencing group of people or their status are to you;
> > Immediacy of network connection: how close the group are to you (physical
> > distance and time) at the time of the influence attempt; number: How many
> > people are present in the environment.
> >
> > I can foresee some challenges but like I say, this type of analysis is
> > very much outside of my specialism. This is an ambitious student so
> before
> > I recommend an alternative approach: Is there a strategy anyone can
> > recommend that will allow him to correctly classify tweets as coming from
> > bots? How can he measure strength and immediacy of network connection?
> Can
> > anyone recommend any publications for him?
> >
> > Thank y’all!
> >
> > Natalie
> >
> > Sent from my iPhone
> > _______________________________________________
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>
>
> --
> You see before you *Mark Chen, PhD*.
> Above his head appears a label that changes every time you look at it
> between "*Hoodie-Wearing Games Scholar Thug*," "*PT Lecturer at UW
> Bothell*," and
> "*A very happy young girl looking forward to a bright and wonderful
> future.*
> "
> Do you send him a tweet (*@mcdanger* <http://twitter.com/mcdanger>), check
> out his website (*markdangerchen.net* <http://markdangerchen.net/>), or
> respond to this email?
> His desk and surroundings are on fire as he smiles and says, "*everything
> is fine*."
> _______________________________________________
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> Subscribe, change options or unsubscribe at: http://listserv.aoir.org/
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> Join the Association of Internet Researchers:
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