Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
102 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Including Images into Message Veracity Assessment in Social Media (2008.01196v1)

Published 20 Jul 2020 in cs.IR, cs.CV, cs.LG, and cs.SI

Abstract: 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.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Abderrazek Azri (4 papers)
  2. Cécile Favre (42 papers)
  3. Nouria Harbi (10 papers)
  4. Jérôme Darmont (92 papers)
Citations (1)