Qijun He study in Bachelor of Advanced Computing, majoring in Computer Science. Qijun attended the 2022 Winter Vacation Research Internship under the supervision of Prof. Athman Bouguettaya.
Detecting Fake Content on social media
Project Description :
Social media has become an essential part of our lives. Social media users upload a lot of content on different social media platforms. The content shared on social media may contain untrustworthy images. Existing approaches relies on image processing and object- oriented techniques to detect fake images on social media. These solutions are costly and computationally intensive. Some recent solutions investigate comments on a post to assess credibility of an image. These solutions may not accurately determine the credibility of an image because the fake posts on social media can still get supportive comments. We leverage the metadata of an image and the related posted information to determine the trustworthiness of a crowdsourced image. This information may reflect some changes in the image. For instance, there may be some discrepancies in the metadata which might be an indication of modifications in the image. Therefore, investigating this meta-information may provide useful insights about the changes introduced in the image.