Does KFC sell rat? Analysis of tweets in the wake of a rumor outbreak. Issue 6 (20th November 2017)

• Record Type: Journal Article
• Authors: Pal, Anjan; Chua, Alton Y.K.; Goh, Dion Hoe-Lian
• Is Part Of: Aslib journal of information management. Volume 69:Issue 6(2017)
• Page Start: 660
• Page End: 673
• Publication Date: 2017-11-20
• Subjects: Crisis informatics -- User-generated content -- Social media -- Counter-rumor -- Online rumors -- Rumoring phenomena; Information science -- Periodicals; Library science -- Periodicals; 020.5
• DOI: 10.1108/AJIM-01-2017-0026
• Languages: English
• ISSNs: 2050-3806

Abstract

Abstract : Purpose: In the wake of a rumor outbreak, individuals exchange three types of messages: rumor messages, counter-rumor messages, and uncertainty-expressing messages. However, the properties of the three types of messages are relatively unknown particularly in the social media context. Hence, the purpose of this paper is to examine these three types of messages posted on social media in the wake of a rumor outbreak. Design/methodology/approach: Data included tweets posted after the outbreak of a rumor that wrongly accused the fast food chain Kentucky Fried Chicken (KFC) for selling rats instead of chicken. Using a deductive approach, codes were derived via content analysis on the tweets. Volume and exposure of tweets were also examined. Findings: Counter-rumor tweets (52 percent) outnumbered rumors tweets (32 percent) and uncertainty-expressing tweets (16 percent). Emotions and personal involvement were abundant in rumor tweets. Expressions of credence and references to URLs were high in counter-rumor tweets. Social ties were found widely in uncertainty-expressing tweets. The high volume and exposure of counter-rumor tweets compared with those of either rumor tweets or uncertainty-expressing tweets highlight the potential of counter-rumors to mitigate rumors. Originality/value: This research ventures into a relatively unexplored territory by concurrently examining rumor messages, counter-rumor messages and uncertainty-expressing messages in the wake of a rumor outbreak. It reveals that counter-rumor messages have the potential to mitigate rumors on social media.