Machine Tweeting

dc.contributor.advisorCao, Seanen_US
dc.contributor.authorChen, Yajieen_US
dc.contributor.departmentBusiness and Management: Accounting & Information Assuranceen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2026-07-02T05:41:29Z
dc.date.issued2026en_US
dc.description.abstractThis study investigates the growing phenomenon of social bot engagement with corporate disclosures. Using hand-collected data on user interactions with corporate earnings announcement (EA) tweets, I find that bot dissemination generates positive short-term returns around EA tweets, which subsequently reverse. Additional evidence suggests that the reversal likely arises because bots amplify overreaction to firms’ optimistic framing. Cross-sectional analyses show that the effect is stronger for firms with greater retail investor presence and for those with lower information transparency. Transaction-level trade evidence further indicates that retail investors are the primary drivers of the initial overreaction. A horse-race analysis against human dissemination shows that reversals occur only under bot engagement, as human interactions do not exhibit similar patterns but instead counterbalance firms’ optimistic framing.en_US
dc.identifierhttps://doi.org/10.13016/c9pe-gen9
dc.identifier.urihttp://hdl.handle.net/1903/35863
dc.language.isoenen_US
dc.subject.pqcontrolledAccountingen_US
dc.subject.pquncontrolledearnings newsen_US
dc.subject.pquncontrolledinformation disseminationen_US
dc.subject.pquncontrolledsocial botsen_US
dc.subject.pquncontrolledsocial mediaen_US
dc.subject.pquncontrolledstrategic disclosureen_US
dc.titleMachine Tweetingen_US
dc.typeDissertationen_US

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