M Hammad Iqbal
Biographic Data
| ID | 10054966 |
|---|---|
| NAME | M Hammad Iqbal |
| GIVEN NAMES | M Hammad |
| FAMILY NAME | Iqbal |
| SIGNATURE | IQBAL M H |
| AFFILIATIONS | National University of Sciences and Technology |
| ORCID | 0000-0002-3616-2621 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Believing the unreal
Deepfakes use artificial intelligence to create manipulated media that look so realistic, they are increasingly shaping how individuals interact with information online. However, urgent concerns have been raised about their impact on public and media literacy. While technical advancements in detection are growing, the human factors influencing perceptions and behaviors, and the impact of deepfakes on society and culture remain underexplored. To a…
Offensive Language Detection for Low Resource Language Using Deep Sequence Model
Social media platforms are heavily used by people to express their views in their native languages. Besides positive views, people often use abusive or offensive language to express their anger or frustration. Resource-rich languages have offensive language detection systems which automatically monitor and block offensive content, however, they are very rare for low-resourced languages. This is because of the nonavailability of datasets for local…
No prominent works on this page.
Offensive Language Detection for Low Resource Language Using Deep Sequence Model
Social media platforms are heavily used by people to express their views in their native languages. Besides positive views, people often use abusive or offensive language to express their anger or frustration. Resource-rich languages have offensive language detection systems which automatically monitor and block offensive content, however, they are very rare for low-resourced languages. This is because of the nonavailability of datasets for local…
Believing the unreal
Deepfakes use artificial intelligence to create manipulated media that look so realistic, they are increasingly shaping how individuals interact with information online. However, urgent concerns have been raised about their impact on public and media literacy. While technical advancements in detection are growing, the human factors influencing perceptions and behaviors, and the impact of deepfakes on society and culture remain underexplored. To a…
Artificial Intelligence (1 work) · Bigram (1 work) · Byte (1 work) · Computer Science (1 work) · Empirical evidence (1 work) · Empirical research (1 work) · Hate Speech and Cyberbullying Detection (1 work) · Language identification (1 work) · Language model (1 work) · Machine learning (1 work)