Name
Abstract | ||
|---|---|---|
Most of the existed fake news detection works on social media driven-fake news mainly focused on text. However, more and more social media platforms like Twitter, facebook, etc, allow users to create multi-modal contents, including text, image and video. Hence, it is obvious that only investigating text contents is insufficient to achieve solid detection. In this paper, we study the fake news on s... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISCC53001.2021.9631256 | 2021 IEEE Symposium on Computers and Communications (ISCC) |
Keywords | DocType | ISBN |
Social networking (online),Fuses,Blogs,Bit error rate,Neural networks,Feature extraction,Solids | Conference | 978-1-6654-2744-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haitian Yang | 1 | 1 | 2.74 |
| Xuan Zhao | 2 | 1 | 1.73 |
| Degang Sun | 3 | 0 | 1.69 |
| Yan Wang | 4 | 0 | 1.35 |
| He Zhu | 5 | 0 | 1.35 |
| Chao Ma | 6 | 0 | 0.34 |
| Weiqing Huang | 7 | 3 | 10.21 |