  The extensive use of social media in the diffusion of information has also
laid a fertile ground for the spread of rumors, which could significantly
affect the credibility of social media. An ever-increasing number of users post
news including, in addition to text, multimedia data such as images and videos.
Yet, such multimedia content is easily editable due to the broad availability
of simple and effective image and video processing tools. The problem of
assessing the veracity of social network posts has attracted a lot of attention
from researchers in recent years. However, almost all previous works have
focused on analyzing textual contents to determine veracity, while visual
contents, and more particularly images, remains ignored or little exploited in
the literature. In this position paper, we propose a framework that explores
two novel ways to assess the veracity of messages published on social networks
by analyzing the credibility of both their textual and visual contents.
