How Flipping News Interwind With Reversal of Public Sentiment: Analyzing Posts on Sina Weibo

All Abstracts > How Flipping News Interwind With Reversal of Public Sentiment: Analyzing Posts on Sina Weibo

How Flipping News Interwind With Reversal of Public Sentiment: Analyzing Posts on Sina Weibo

Author | Affiliation:
Yuanfeixue Nan | USC Annenberg

Presenting at:
2B | China’s digital communication industry and its discontent


Flipping news, which is different from fake news – the buzzword in recent years – or other similar terms, refers to the phenomenon that a series of news focusing on the same issue shift the way they frame the story due to the fact that new pieces of truth are found or related statements are made. That is to say, flipping news is not intentionally manipulated or verifiably false, but usually is incomplete at first and then being supplemented as the investigation goes on. What might be confusing is that flipping news seems to be like fake news at its first stage, and being corrected later on. Therefore, a remind should be made here that one main distinction between flipping news and fake news is why they come to exist. Thanks to the fast development of media technology, the news production cycle is shorted in time while some events need much longer time to find out what really happened. Although the initial published reports made it clear that certain events are still under investigation, and new evidence will be added on once available, dissemination and discussion online is inevitable to control. As social media provided us a window to explore netizens’ opinions toward particular issues,  changes or even reversals of public sentiment on social platform can be observed. The present study tries to answer the question how flipping news is interwind with public sentiment by analyzing posts on Weibo. Two cases were chose in consideration of their wide influence and they raised fierce arguments. Results show that public sentiments often changed after the new evidence is added, and the time interval is about two days. The most internet traffic was earn when story is contradict to what people think it should be, other than when the story first caught public’s eye.  

About the author

Yuanfeixue Nan


Yuanfeixue Nan is a first-year doctoral student at Annenberg School of Communication, USC, US. Her current research interest is social media related phenomenon and health communication in general. To be more specific, her previous work explored what makes fake news became prevalent these days. Besides, more health relevant topics could be found in her works: how attributes of genetically modified organic related videos are related to the audience’s attitude, potential factors that contribute to the knowledge on HPV vaccine, possible correlation between social media use and social anxiety symptoms.

%d bloggers like this: