Papers by Philipp Hartl
Applying Automatic Text Summarization for Fake News Detection (2022.lrec-1)
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| Challenge: | Social media has been a driver for the spread of misleading and deliberately wrong information, as there is little to no veracity monitoring. |
| Approach: | They propose a framework that combines transformer-based language models with contextual information to circumvent sequential limits and related loss of information. |
| Outcome: | The proposed framework can circumvent sequential limits and related loss of information on two publicly available datasets and achieve state-of-the-art performance benchmarks. |