Building Images of “President Trump”: Comparing Co-evolutions of the Trade War Discourse between Influencers and Regular Users on Twitter

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dc.contributor.authorJiang, Ke
dc.contributor.authorXu, Qian
dc.date.accessioned2020-12-24T19:36:16Z
dc.date.available2020-12-24T19:36:16Z
dc.date.issued2021-01-05
dc.description.abstractUsing semantic network analysis, this paper examines how three types of Twitter influencers and the regular Twitter users frame “President Trump” in the discourses of Trade War. In addition to revealing the central words and word clusters adopted by the different categories of Twitter users, this paper also studies how central words co-evolved over time between three types of Twitter influencers and regular users by using coherency and time lag analysis. Overall, we discovered that three types of Twitter influencers all took a negative stance on illustrating the President Trump’s image, while the regular Twitter users demonstrated polarized attitudes toward it. The significant time lags between the highly co-evolved word pairs indicated complicated interactions between Twitter influencers and regular Twitter users.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.360
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70974
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectNetwork Analysis of Digital and Social Media
dc.subjectco-evolutions
dc.subjectinfluencers
dc.subjectsemantic network analysis
dc.subjectsocial media discourse
dc.titleBuilding Images of “President Trump”: Comparing Co-evolutions of the Trade War Discourse between Influencers and Regular Users on Twitter
prism.startingpage2956

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