Caution: Rumors ahead—A case study on the debunking of false information on Twitter

Anna-Katharina Jung, Björn Ross, Stefan Stieglitz

Research output: Contribution to journalArticlepeer-review


As false information may spread rapidly on social media, a profound understanding of how it can be debunked is required. This study offers empirical insights into the development of rumors after they are debunked, the various user groups who are involved in the process, and their network structures. As crisis situations are highly sensitive to the spread of rumors, Twitter posts from during the 2017 G20 summit are examined. Tweets regarding five rumors that were debunked during this event were manually coded into the following categories: rumor, debunking message, uncertainty about rumor, uncertainty about debunking message, and others. Our findings show that rumors which are debunked early and vehemently by official sources are the most likely to be stopped. When individuals participate in the process, they typically do so by sharing uncommented media content, as opposed to contributing user-generated content. Depending on the conditions in which a rumor arises, different network structures can be found. Since some rumors are easier for individuals to verify than others, our results have implications for the priorities of journalists and official sources.
Original languageEnglish
Number of pages15
JournalBig Data and Society
Issue number2
Publication statusPublished - 29 Dec 2020


  • Social media
  • false information
  • rumor
  • debunking
  • fake news

Fingerprint Dive into the research topics of 'Caution: Rumors ahead—A case study on the debunking of false information on Twitter'. Together they form a unique fingerprint.

Cite this