skip to main content


The NSF Public Access Repository (NSF-PAR) system and access will be unavailable from 10:00 PM ET on Friday, December 8 until 2:00 AM ET on Saturday, December 9 due to maintenance. We apologize for the inconvenience.

This content will become publicly available on May 1, 2024

Title: Attacking Fake News Detectors via Manipulating News Social Engagement
Award ID(s):
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
Web Conference (WWW)
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. null (Ed.)
    Rampant fake news on social media has drawn significant attention. Yet, much remains unknown as to how such imbalanced evaluations of self versus others could shape social media users’ perceptions and their subsequent attitudes and behavioral intentions regarding social media news. An online survey ( N = 335) was conducted to examine the third person effect (TPE) in fake news on social media and suggested that users perceived a greater influence of fake news on others than on themselves. However, although users evaluated fake news as socially undesirable, they were still unsupportive of government censorship as a remedy. In addition, the perceived prevalence of fake news leads audiences to reported significantly less willingness to share all news on social media either online or offline. 
    more » « less
  2. We examine how social media plays the role of an attention driver for traditional media. Social media attracts and channels attention to a topic. This attention triggers people to seek further information that is reported professionally in traditional media. Specifically, the volume of social media posts about a stock influences the attention to this stock the next day, proxied by the viewership of news articles on the same stock published the next day. We test this hypothesis in the stock market context because social media is less likely than traditional media to diffuse fundamental information in the stock market. Analysing stock-related news articles and stock-related social media posts from Sina Finance and Sina Weibo, we find that the social media post volume of a stock at time t-1 is associated with the traditional media viewership of the same stock at time t. This effect is amplified when social media sentiment about the stock is more intense or positive, and with an increase in the volume of verified social media posts about the stock. Our results provide evidence that social media platforms act as attention drivers, which differ from the information channel functions discussed in prior literature. 
    more » « less
  3. This paper responds to calls for theory-building about news sharing on social media, arguing for a unified understanding of sharing practices both online and off. Developing a theoretical understanding of news sharing requires broadening our gaze to include other communicative technologies, such as postal mail, email, voice calls, and in-person conversation. In a conceptual contribution based on reflections about my participation in long-term multi-method collaborative studies in the US, I argue that news sharing is an act of commitment at the core. I also propose a three-dimensional model of news recirculation. The first two dimensions, publicness and ephemerality, are ideological – although they widely misrecognized as properties of specific channels and platforms. People enact a third dimension of practice, voice, when they recirculate news. 
    more » « less
  4. This paper presents an algorithm audit of the Google Top Stories box, a prominent component of search engine results and powerful driver of traffic to news publishers. As such, it is important in shaping user attention towards news outlets and topics. By analyzing the number of appearances of news article links we contribute a series of novel analyses that provide an in-depth characterization of news source diversity and its implications for attention via Google search. We present results indicating a considerable degree of source concentration (with variation among search terms), a slight exaggeration in the ideological skew of news in comparison to a baseline, and a quantification of how the presentation of items translates into traffic and attention for publishers. We contribute insights that underscore the power that Google wields in exposing users to diverse news information, and raise important questions and opportunities for future work on algorithmic news curation. 
    more » « less