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- W4287591735 abstract "Twitter is increasingly used for political, advertising and marketing campaigns, where the main aim is to influence users to support specific causes, individuals or groups. We propose a novel methodology for mining and analyzing Twitter campaigns, which includes: (i) collecting tweets and detecting topics relating to a campaign; (ii) mining important campaign topics using scientometrics measures; (iii) modelling user interests using hashtags and topical entropy; (iv) identifying influential users using an adapted PageRank score; and (v) various metrics and visualization techniques for identifying bot-like activities. While this methodology is generalizable to multiple campaign types, we demonstrate its effectiveness on the 2017 German federal election." @default.
- W4287591735 created "2022-07-25" @default.
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- W4287591735 date "2020-11-22" @default.
- W4287591735 modified "2023-09-27" @default.
- W4287591735 title "Mining Influentials and their Bot Activities on Twitter Campaigns" @default.
- W4287591735 doi "https://doi.org/10.48550/arxiv.2011.11010" @default.
- W4287591735 hasPublicationYear "2020" @default.
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