[Air-L] Twitter Chatbots

[Mark Chen]

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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