Machine Tweeting
| dc.contributor.advisor | Cao, Sean | en_US |
| dc.contributor.author | Chen, Yajie | en_US |
| dc.contributor.department | Business and Management: Accounting & Information Assurance | en_US |
| dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
| dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
| dc.date.accessioned | 2026-07-02T05:41:29Z | |
| dc.date.issued | 2026 | en_US |
| dc.description.abstract | This 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.identifier | https://doi.org/10.13016/c9pe-gen9 | |
| dc.identifier.uri | http://hdl.handle.net/1903/35863 | |
| dc.language.iso | en | en_US |
| dc.subject.pqcontrolled | Accounting | en_US |
| dc.subject.pquncontrolled | earnings news | en_US |
| dc.subject.pquncontrolled | information dissemination | en_US |
| dc.subject.pquncontrolled | social bots | en_US |
| dc.subject.pquncontrolled | social media | en_US |
| dc.subject.pquncontrolled | strategic disclosure | en_US |
| dc.title | Machine Tweeting | en_US |
| dc.type | Dissertation | en_US |
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