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University of Maryland

Machine Tweeting

Abstract

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.

Degree

thesis:*
Department dc:contributor.department
Business and Management: Accounting & Information Assurance
Year dc:date.issued
2026

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Yajie
Advisor dc:contributor.advisor
  • Cao, Sean

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:drum.lib.umd.edu:1903/35863

Chain of custody

source
Harvested from
University of Maryland
Base URL
api.drum.lib.umd.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Chen, Yajie. Machine Tweeting. 2026. http://hdl.handle.net/1903/35863