DeepAI AI Chat
Log In Sign Up

Understanding the Use of Fauxtography on Social Media

by   Yuping Wang, et al.

Despite the influence that image-based communication has on online discourse, the role played by images in disinformation is still not well understood. In this paper, we present the first large-scale study of fauxtography, analyzing the use of manipulated or misleading images in news discussion on online communities. First, we develop a computational pipeline geared to detect fauxtography, and identify over 61k instances of fauxtography discussed on Twitter, 4chan, and Reddit. Then, we study how posting fauxtography affects engagement of posts on social media, finding that posts containing it receive more interactions in the form of re-shares, likes, and comments. Finally, we show that fauxtography images are often turned into memes by Web communities. Our findings show that effective mitigation against disinformation need to take images into account, and highlight a number of challenges in dealing with image-based disinformation.


page 2

page 8


Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities

This paper presents a multi-platform computational pipeline geared to id...

Hashtag Usage in a Geographically-Local Microblogging App

This paper studies for the first time the usage and propagation of hasht...

Long-term trends of diversity online

Ever since the web began, the number of websites has been growing expone...

Linguistic Markers of Influence in Informal Interactions

There has been a long standing interest in understanding `Social Influen...

A First Look at Zoombombing

Online meeting tools like Zoom and Google Meet have become central to ou...

Linking Social Media Posts to News with Siamese Transformers

Many computational social science projects examine online discourse surr...