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dc.contributor.authorAbedi Firouzjaei, Hassan
dc.contributor.authorÖzdemir, Sina Furkan
dc.date.accessioned2023-02-14T12:30:53Z
dc.date.available2023-02-14T12:30:53Z
dc.date.created2022-12-12T08:39:13Z
dc.date.issued2020
dc.identifier.issn2473-991X
dc.identifier.urihttps://hdl.handle.net/11250/3050717
dc.description.abstractTwitter is one of the essential information environments where novel information join and diffuse through the public discourse via user engagement. Although the previous work has shed light on the role of the content in information diffusion, stylistic factors such as readability are still under-explored. We investigated the effect of the readability on positive user engagement for over 80,000 political tweets collected for a period of six months. We formulated a set of experiments involving the use of regression techniques to predict user engagement. Our findings indicate that the addition of the readability related features leads to more accurate and more robust predictions. Increase in the prediction robustness means that ease-of-read have a considerable influence on the positive engagement political tweets receive.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleEffect of readability of political tweets on positive user engagementen_US
dc.title.alternativeEffect of readability of political tweets on positive user engagementen_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThis version will not be available due to the publisher's copyright.en_US
dc.source.journalInternational Conference on Advances in Social Network Analysis and Mining, ASONAMen_US
dc.identifier.doi10.1109/ASONAM49781.2020.9381431
dc.identifier.cristin2091692
cristin.ispublishedtrue
cristin.fulltextoriginal


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