Contributed to a story for the Newsweek website. The study , by Oxford University professor Philip Howard, found that bots backing Trump sent out more than four times as many tweets than those supporting Hillary Clinton during the first presidential debate.
We review the great variety of critical scholarship on algorithms, automation, and big data in areas of contemporary life both to document where there has been robust scholarship and to contribute to existing scholarship by identifying gaps in our research agenda. We identify five domains with opportunities for further scholarship: […]
Our research was featured in the Independent: The robot tweets helped give the appearance that Mr Trump had more support than he did, according to Professor Howard. That apparent surge in support was referenced repeatedly by Mr Trump, who claimed that despite what the official polling showed he had actually […]
Bots are social media accounts that automate interaction with other users, and political bots have been particularly active on public policy issues, political crises, and elections. We collected data on bot activity using the major hashtags related to the U.S. Presidential debate. In this brief analysis we find that (1) […]