Enhancing trust in news media: A multimodality approach to detecting fake news with social constructs
Ishfaq Ali, Muhammad Asif, Osama Sohaib, Ahmet Savaşan, Hanan Aljuaid · 2025
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Description
Ishfaq Ali and co-authors build in 2025 a fake news detector that also weighs how stories get misquoted on social media. False posts harm public debate and trust, yet warped quotes of true stories get less study. A warped quote can mislead readers while wearing the name of a sound source.
The team merged four known data sets into about one hundred fifty eight thousand pairs of stories and posts. Their model reads text, image, and context traits in one shared space to flag warped quotes. Checks weigh how much each signal type adds to the grade. The aim is stronger trust in news shared online.
Catalog record
| CREATOR | Ishfaq Ali, Muhammad Asif, Osama Sohaib, Ahmet Savaşan, Hanan Aljuaid |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 52 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |