Twatter Campaign Suggestion
>screencap BotSentinel %bot result for (your) account
>write on physical piece of paper I, @______, am not a bot.
>create side by side
>twitter storm Slate, et al with other anons with indisputable proof rebuking Slate’s poor sourcing & research.
https://amp.slate.com/technology/2018/09/bots-have-been-boosting-qanon-since-almost-the-moment-it-started.html?__twitter_impression=true
<<Slate using BotSentinal as sauce for “early QAnon twitter bots” to “artificially amplify”.
What explains the migration and growth of the Q phenomenon? For one thing, perhaps the desire of this group of Trump supporters to live in a reality in which an unpopular president mired in self-made controversies is actually winning. And thanks to a report last month from NBC News, we now know that the theory can be traced back to two 4chan moderators and one YouTube personality who worked with each other in order to port the Q posts onto more mainstream channels. Their effort does not appear to be the only coordinated attempt to boost Q to a bigger audience. Q’s journey from the cobwebby corners of 4chan into the mainstream likely wasn’t entirely organic. Rather, it appears to have been amplified along the way by automated Twitter accounts—that is, bots. And they seem to have gotten their start very early in the life of the conspiracy theory.
Using the tools Botcheck.me and Bot Sentinel, combined with data pulled and analyzed by Slate about how many tweets each account sent in a single day, I was able to determine whether many of the accounts tweeting about QAnon displayed behavior that’s indicative of automated activity. One of the surest signs of bot activity is volume, according to Philip Howard, an Oxford University professor and director of the Oxford Internet Institute, where he studies automation in social media. If an account tweets more than 50 times a day about politics or an election, that usually denotes some level of automated activity, says Howard. Botcheck.me and Bot Sentinel—both of which were created by independent researchers—use machine learning to look for botlike activity, which, according to Botcheck.me, includes tweeting extremely frequently, gaining a large following in a short amount of time, retweeting other bots, being followed by other bots, and sticking to highly polarizing political messages. (The creators of Bot Sentinel and Botcheck.me report that their tools are able to identify bot accounts with about 94 percent accuracy.)
>Goes to BotSentinel
>Twitter User Search not currently functioning
>Explores sidebar menu, sees “Troll Bot Networks”
https://botsentinel.com/trollbot-network
Apparently Dan Bingino is master “bot” of a “troll bot farm”.
Same for Fox News, Hussein, @realdonaldtrump & @potus