The claim is: Russian bots were highly influential in polarizing both BLM and Blue lives matter/all lives matter. However, the dataset of tweets is focused on keywords that are primarily used when referencing people shooting cops.
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I agree with this point, but it's the original paper that misses it.
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Much of our data analytics is text-based and siloed “Internet vs. cable” while the real story is in the whole ecology and is mostly playing out visually, not verbally.
End of conversation
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Instead, my series of objections are aligned with this critique. Especially would like to see your thoughts
@zeynep on the critique of filter bubble discourseThanks. Twitter will use this to make your timeline better. UndoUndo
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An excellent point, and not at all what this paper claims to find. An additional critique apart from the ones i articulated in this thread.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Yes, so we need papers focused on the extensive cross platform disinformation campaign targeting
#BlackLivesMatter
. Not papers creating false impressions of extensive Russian influence on BLM, with false equivalence to "All lives matter" and "Blue lives matter. "Thanks. Twitter will use this to make your timeline better. UndoUndo
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