Trends in Detection and Characterization of Propaganda Bots
dc.contributor.author | Williamson, William | |
dc.contributor.author | Scrofani, James | |
dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
dc.date | 2021 | |
dc.date.accessioned | 2022-03-08T00:14:48Z | |
dc.date.available | 2022-03-08T00:14:48Z | |
dc.date.issued | 2021 | |
dc.description | 17 USC 105 interim-entered record; under temporary embargo. | en_US |
dc.description.abstract | Since the revelations of interference in the 2016 US Presidential elections, the UK’s Brexit referendum, the Catalan independence vote in 2017 and numerous other major political discussions by malicious online actors and propaganda bots, there has been increasing interest in understanding how to detect and characterize such threats. We focus on some of the recent research in algorithms for detection of propaganda botnets and metrics by which their impact can be measured. | en_US |
dc.description.funder | U.S. Government affiliation is unstated in article text. | en_US |
dc.format.extent | 6 p. | en_US |
dc.identifier.uri | https://hdl.handle.net/10945/69041 | |
dc.publisher | HICSS | en_US |
dc.subject.author | propoganda bots | en_US |
dc.subject.author | botnets | en_US |
dc.subject.author | social media | en_US |
dc.title | Trends in Detection and Characterization of Propaganda Bots | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication |
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