![]() This does not directly help Trump but it does resonate with some of the propaganda his supporters are pushing out.” For example, he says accounts of this kind overplayed incidents of “violence, rioting and looting,” which he says were used to spread the message that “crazy socialists and anarchists have taken over the Democratic party,” or others in that vein. “In this regard we also saw a lot of seemingly non-political posts made by this group that did not necessarily address BLM, but rather just portrayed African Americans in a negative light – for example posts with videos highlighting incidents of violence by members of the Black community. President Trump on Thursday accelerated his efforts to interfere in the nation’s electoral process, taking the extraordinary step of reaching out directly to Republican state legislators from. “If during the previous elections we saw a lot of activity focusing on Ferguson, for example, then this time it will be about Black Lives Matter,” notes Marcellino. “It tells us how likely or probable that it is, based on how similar their behavior is to that exhibited by users we know for certain were Russian trolls active during the 2016 election.”Īt the basic level, the researchers found that the accounts in the so-called pro-Trump network followed the same motifs as those disseminated during the election four years ago, with minor updates to preserve their political relevance. “Our algorithm doesn’t give a ‘yes’ or ‘no’ answer as to whether a certain user is a bot or troll,” says Marcellino. Combining the two, they scanned the entire Twitter network and located what they term “publics” – communities of users that congregate around one subject, such as whether or not the president should have been impeached – and characterized them on the basis of the content they distribute. As former President Trump hires a new legal team to represent him at his second impeachment trial, the New York Times looks at his efforts to subvert the ele. Combining network analysis with textual analysis, they worked with artificial intelligence to process vast amounts of information and with human intelligence to analyze the texts. To locate the suspect users, the investigators resorted to a mix of qualitative and quantitative research methods. With Facebook having blocked access to its data from most researchers, and Russia constantly changing its methods, Marcellino and his team at RAND developed a complex and novel research method to detect disinformation efforts on Twitter.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |